Podcasts about onalytica

I'm not a financial advisor; Superpowers for Good should not be considered investment advice. Seek counsel before making investment decisions.Watch the show on television by downloading the e360tv channel app to your Roku, AppleTV or AmazonFireTV. You can also see it on YouTube.When you purchase an item, launch a campaign or create an investment account after clicking a link here, we may earn a fee. Engage to support our work.Has your business been impacted by the recent fires? Apply now for a chance to receive one of 10 free tickets to SuperCrowdLA on May 2nd and 3rd and gain the tools to rebuild and grow!Devin: What is your superpower?Kendall: Ability to talk to people and convince them to do things.The passage of the JOBS Act in 2012 opened new doors for entrepreneurs, enabling them to raise funds from the general public through regulation crowdfunding. This shift has been nothing short of a game changer for small businesses that previously struggled to access capital. Securities attorney and entrepreneur Kendall Almerico has been at the forefront of this movement, helping companies navigate the regulatory landscape and successfully raise funds.Kendall first recognized the potential of crowdfunding during the 2008 financial crisis when he stumbled upon Kickstarter and saw the Pebble Watch raise $10 million without offering investors equity. This moment sparked a realization. “If they ever pass a law that allows you to raise money online by selling securities, I am going to pivot my entire practice and do nothing but this,” he recalled. That law came in the form of the JOBS Act, and Kendall made good on his promise.Since then, Kendall has worked with businesses of all sizes to leverage regulation crowdfunding. The beauty of this approach, he explains, is that it democratizes investment opportunities. “The average Joe could invest $50, $100, or $200. And I just knew it would be a game changer for small business,” he said.While major crowdfunding success stories make headlines, Kendall emphasizes that regulation crowdfunding is most impactful for small businesses looking to raise modest sums—often between $50,000 and $100,000. Many of these companies would struggle to secure a bank loan or venture capital investment, but through crowdfunding, they can tap into their existing customer base and community support. “When you pass the hat at church and everyone puts in $5 or $10, at the end of the day, there's a lot of money in that hat. This is the same thing,” he explained.One of the most important aspects of running a successful crowdfunding campaign, according to Kendall, is structuring it in a way that is attractive to investors. “You can go out and basically say, ‘I'm going to raise money at a billion-dollar valuation for my brand new company that has no employees and has never sold anything.' You can do that. No one's going to stop you, but no one's going to invest.” Instead, he advises entrepreneurs to take a staged approach—starting with smaller raises, proving their model, and then scaling up to larger fundraising rounds.Kendall's insights reflect the power of regulation crowdfunding to level the playing field for small businesses and everyday investors. By giving communities the opportunity to support the businesses they love, this model is reshaping how capital flows and who gets access to it. As regulation crowdfunding continues to grow, more entrepreneurs are discovering its potential to turn their visions into reality.tl;dr:Kendall shares how the JOBS Act transformed access to capital for small businesses.Crowdfunding enables everyday investors to support businesses, democratizing investment opportunities.Successful campaigns require strong marketing, clear messaging, and reasonable valuations.Kendall's superpower—persuasion—helps entrepreneurs communicate effectively and raise funds.The episode concludes with Kendall sharing insights on navigating crowdfunding regulations and investor relations.How to Develop The Power of Persuasion As a SuperpowerKendall's superpower is persuasion. With a natural ability to connect with people and communicate ideas clearly, he has helped countless entrepreneurs navigate the complexities of regulation crowdfunding.“My superpower is very simple,” Kendall said. “I'm incredibly lucky to have been born with this ability to talk to people and convince them to do things.” This talent, honed through years of experience in television, radio, and trial law, has positioned him as a leading expert in the crowdfunding space. He believes that 90 to 95% of success in regulation crowdfunding comes down to marketing and messaging—skills that rely heavily on persuasive communication.One example of Kendall's persuasive prowess occurred when he helped a cannabis company become the first U.S.-based, plant-touching cannabis business to receive SEC approval for a Regulation A offering. Many doubted the legality of such an offering, but Kendall was confident in the regulatory framework. When the SEC initially questioned an innovative investor perk—a live-streamed cannabis plant named after each investor—Kendall engaged in a strategic dialogue with regulators. Though the perk was ultimately removed, the process exemplified his ability to challenge norms and push boundaries while staying within legal constraints. His communication skills helped the company secure approval and raise funds despite industry skepticism.For those looking to develop persuasion as a personal strength, Kendall's approach offers key insights:Speak in clear, relatable terms. Avoid jargon and complex language when explaining ideas.Listen actively. Effective persuasion starts with understanding your audience's concerns and motivations.Be confident, but flexible. Know when to push forward and when to adjust your approach.Tell compelling stories. Engaging narratives make complex ideas more accessible and memorable.Practice regularly. Persuasion is a skill that improves with experience and continuous learning.By following Kendall's example and advice, you can make persuasion a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Guest ProfileKendall Almerico (he/him):Securities Attorney & EntrepreneurAbout Almerico Law: My lawfirm, Almerico Law, provides securities law services related to equity crowdfunding offerings under Regulation A and Regulation CF. As a consultant outside of my law practice, I also act as the "quarterback" of my clients' offerings, supervising with management over all aspects of video production, marketing, ads, social media, public relations and anything else required to have a successful offering.Website: almerico.comX/Twitter Handle: @kendallalmericoCompany Facebook Page: facebook.com/kendall.almericoOther URL: kendallalmerico.substack.comBiographical Information:Kendall Almerico was named “one of the top crowdfunding and JOBS Act attorneys in the country” by Forbes. Venture Beat named Kendall as the top practicing attorney on their list of the most influential thought leaders on crowdfunding in the world. Inc. magazine named Kendall to its list of “Top 19 Crowdfunding Experts Startups Need to Know.” Onalytica ranked Kendall #1 on its 2016 list of the Top 100 crowdfunding influencers in the world. Huffington Post called Kendall “One of the country's leading experts on equity crowdfunding.” Kendall and his crowdfunding websites have appeared in the New York Times, USA Today, Washington Post, Washington Times, Forbes, Bloomberg, Reuters, the New York Daily News, Business Insider, Christian Science Monitor, Fox Business Network, Yahoo News and hundreds of newspaper, blog, radio and television interviews including CNN, CNBC, CBS, ABC, NBC, FOX, CCTV and Bloomberg TV. Mr. Almerico was a regular crowdfunding columnist for Entrepreneur.com and is a highly sought after international keynote speaker. Mr. Almerico practices law with the law firm of Almerico Law in Florida.X/Twitter Handle: @kendallalmericoPersonal Facebook Profile: facebook.com/kendall.almericoLinkedIn: linkedin.com/in/kendallalmericoSupport Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include FundingHope, Pivotal Health, SuperCrowdLA and Crowdfunding Made Simple. Learn more about advertising with us here.Max-Impact MembersThe following Max-Impact Members provide valuable financial support:Carol Fineagan, Independent Consultant | Lory Moore, Lory Moore Law | Marcia Brinton, High Desert Gear | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Ralf Mandt, Next Pitch | Scott Thorpe, Philanthropist | Matthew Mead, Hempitecture | Michael Pratt, Qnetic | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.Impact Cherub Club Meeting hosted by The Super Crowd, Inc., a public benefit corporation, on March 18, 2024, at 1:00 PM Eastern. Each month, the Club meets to review new offerings for investment consideration and to conduct due diligence on previously screened deals. To join the Impact Cherub Club, become an Impact Member of the SuperCrowd.SuperCrowdHour, March 19, 2025, at 1:00 PM Eastern. Devin Thorpe will be leading a session on "How to Build a VC-Style Impact Crowdfunding Portfolio." He'll share expert insights on diversifying investments, identifying high-potential impact ventures, and leveraging crowdfunding for both financial and social returns. Whether you're an experienced investor or just getting started, this is a must-attend! Don't miss it!SuperCrowdLA: we're going to be live in Santa Monica, California, May 1-3. Plan to join us for a major, in-person event focused on scaling impact. Sponsored by Digital Niche Agency, ProActive Real Estate and others. This will be a can't-miss event. Has your business been impacted by the recent fires? Apply now for a chance to receive one of 10 free tickets to SuperCrowdLA on May 2nd and 3rd and gain the tools to rebuild and grow!  SuperCrowd25, August 21st and 22nd: This two-day virtual event is an annual tradition but with big upgrades for 2025! We'll be streaming live across the web and on TV via e360tv. Soon, we'll open a process for nominating speakers. Check back!Community Event CalendarSuccessful Funding with Karl Dakin, Tuesdays at 10:00 AM ET - Click on Events.Igniting Community Capital to Build Outdoor Recreation Communities, Crowdfund Better, Thursdays, March 20 & 27, April 3 & 10, 2025, at 1:00 PM ET.Asheville Neighborhood Economics, April 1-2, 2-25.Regulated Investment Crowdfunding Summit 2025, Crowdfunding Professional Association, Washington DC, October 21-22, 2025.Call for community action:Please show your support for a tax credit for investments made via Regulation Crowdfunding, benefiting both the investors and the small businesses that receive the investments. Learn more here.If you would like to submit an event for us to share with the 9,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe

Are your data science projects failing to deliver real business value?What if the problem isn't the technology or the organization, but your approach as a data scientist?With only 11% of data science models making it to deployment and close to 85% of big data projects failing, something clearly isn't working.In this episode, three globally recognised analytics leaders, Bill Schmarzo, Mark Stouse and John Thompson, join Dr Genevieve Hayes to deliver a tough love wake-up call on why data scientists struggle to create business impact, and more importantly, how to fix it.This episode reveals:Why focusing purely on technical metrics like accuracy and precision is sabotaging your success — and what metrics actually matter to business leaders. [04:18]The critical mindset shift needed to transform from a back-room technical specialist into a valued business partner. [30:33]How to present data science insights in ways that drive action — and why your fancy graphs might be hurting rather than helping. [25:08]Why “data driven” isn't enough, and how to adopt a “data informed” approach that delivers real business outcomes. [54:08]Guest BioBill Schmarzo, also known as “The Dean of Big Data,” is the AI and Data Customer Innovation Strategist for Dell Technologies' AI SPEAR team, and is the author of six books on blending data science, design thinking, and data economics from a value creation and delivery perspective. He is an avid blogger and is ranked as the #4 influencer worldwide in data science and big data by Onalytica and is also an adjunct professor at Iowa State University, where he teaches the “AI-Driven Innovation” class.Mark Stouse is the CEO of ProofAnalytics.ai, a causal AI company that helps companies understand and optimize their operational investments in light of their targeted objectives, time lag, and external factors. Known for his ability to bridge multiple business disciplines, he has successfully operationalized data science at scale across large enterprises, driven by his belief that data science's primary purpose is enabling better business decisions.John Thompson is EY's Global Head of AI and is the author of four books on AI, data and analytics teams. He was named one of dataIQ's 100 most influential people in data in 2023 and is also an Adjunct Professor at the University of Michigan, where he teaches a course based on his book “Building Analytics Teams”.LinksConnect with Bill on LinkedInConnect with Mark on LinkedInConnect with John on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Genevieve Hayes Consulting Episode 53: A Wake-Up Call from 3 Tech Leaders on Why You're Failing as a Data Scientist Are your data science projects failing to deliver real business value?What if the problem isn’t the technology or the organization, but your approach as a data scientist?With only 11% of data science models making it to deployment and close to 85% of big data projects failing, something clearly isn’t working.In this episode, three globally recognised analytics leaders, Bill Schmarzo, Mark Stouse and John Thompson, join Dr Genevieve Hayes to deliver a tough love wake-up call on why data scientists struggle to create business impact, and more importantly, how to fix it.This episode reveals:Why focusing purely on technical metrics like accuracy and precision is sabotaging your success — and what metrics actually matter to business leaders. [04:18]The critical mindset shift needed to transform from a back-room technical specialist into a valued business partner. [30:33]How to present data science insights in ways that drive action — and why your fancy graphs might be hurting rather than helping. [25:08]Why “data driven” isn’t enough, and how to adopt a “data informed” approach that delivers real business outcomes. [54:08] Guest Bio Bill Schmarzo, also known as “The Dean of Big Data,” is the AI and Data Customer Innovation Strategist for Dell Technologies' AI SPEAR team, and is the author of six books on blending data science, design thinking, and data economics from a value creation and delivery perspective. He is an avid blogger and is ranked as the #4 influencer worldwide in data science and big data by Onalytica and is also an adjunct professor at Iowa State University, where he teaches the “AI-Driven Innovation” class.Mark Stouse is the CEO of ProofAnalytics.ai, a causal AI company that helps companies understand and optimize their operational investments in light of their targeted objectives, time lag, and external factors. Known for his ability to bridge multiple business disciplines, he has successfully operationalized data science at scale across large enterprises, driven by his belief that data science’s primary purpose is enabling better business decisions.John Thompson is EY's Global Head of AI and is the author of four books on AI, data and analytics teams. He was named one of dataIQ's 100 most influential people in data in 2023 and is also an Adjunct Professor at the University of Michigan, where he teaches a course based on his book “Building Analytics Teams”. Links Connect with Bill on LinkedInConnect with Mark on LinkedInConnect with John on LinkedIn Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE Read Full Transcript [00:00:00] Dr Genevieve Hayes: Hello, and welcome to Value Driven Data Science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I’m Dr. Genevieve Hayes, and today I’m joined by three globally recognized innovators and leaders in AI, analytics, and data science.[00:00:24] Bill Schmarzo, Mark Stouse, and John Thompson. Bill? Also known as the Dean of Big Data, is the AI and Data Customer Innovation Strategist for Dell Technologies AI Spear Team, and is the author of six books on blending data science, design thinking, and data economics from a value creation and delivery perspective.[00:00:49] He is an avid blogger and is ranked as the number four influencer worldwide in data science and big data Analytica. And he’s also an adjunct professor at Iowa State University, where he teaches AI driven innovation. Mark is the CEO of proofanalytics. ai, a causal AI company that helps organizations understand and optimize their operational investments in light of their targeted objectives, time lag and external factors.[00:01:23] Known for his ability to bridge multiple business disciplines, he has successfully operationalized data science at scale across large enterprises. Driven by his belief that data science’s primary purpose is enabling better business decisions. And John is EY’s global head of AI and is the author of four books on AI data and analytics teams.[00:01:49] He was named one of DataIQ’s 100 most influential people in data in 2023. and is also an adjunct professor at the University of Michigan, where he teaches a course based on his book, Building Analytics Teams. Today’s episode will be a tough love wake up call for data scientists on why you are failing to deliver real business value and more importantly, what you can do about it.[00:02:17] So get ready to boost your impact. Earn what you’re worth and rewrite your career algorithm. Bill, Mark, John, welcome to the show.[00:02:25] Mark Stouse: Thank[00:02:26] Bill Schmarzo: Thanks for having us.[00:02:27] John Thompson: to be here.[00:02:28] Dr Genevieve Hayes: Only 11 percent of data scientists say their models always deploy. Only 10 percent of companies obtain significant financial benefits from AI technologies and close to 85 percent of big data projects fail. These statistics, taken from research conducted by Rexa Analytics, the Boston Consulting Group and Gartner respectively, paint a grim view of what it’s like working as a data scientist.[00:02:57] The reality is, you’re probably going to fail. And when that reality occurs, it’s not uncommon for data scientists to blame either the executive for not understanding the brilliance of their work, or the corporate culture for not being ready for data science. And maybe this is true for some organizations.[00:03:20] Particularly those relatively new to the AI adoption path. But it’s now been almost 25 years since William Cleveland first coined the term data science. And as the explosive uptake of generative AI tools, such as chat GPT demonstrate with the right use case. People are very willing to take on AI technologies.[00:03:42] So perhaps it’s finally time to look in the mirror and face the truth. Perhaps the problem is you, the data scientist. But if this is the case, then don’t despair. In many organizations, the leadership just don’t have the time to provide data scientists with the feedback necessary to improve. But today, I’m sitting here with three of the world’s best to provide that advice just for you.[00:04:09] So, let’s cut to the chase what are the biggest mistakes you see data scientists making when it comes to demonstrating their value?[00:04:18] Mark Stouse: I think that you have to start with the fact that they’re not demonstrating their value, right? I mean, if you’re a CEO, a CFO, head of sales really doesn’t matter if you’re trying to make better business decisions over and over and over again. As Bill talks about a lot, the whole idea here is economic,[00:04:39] and it is. About engaging, triggering the laws of compounding you’ve got to be able to do stuff that makes that happen. Data management, for example, even though we all agree that it’s really necessary, particularly if you’re launching, you know, big data solutions. You can’t do this sequentially and be successful.[00:05:04] You’re going to have to find some areas probably using, you know, old fashioned math around causal analytics, multivariable linear regression, things like that, to at least get the ball rolling. In terms of delivering better value, the kind of value that business leaders actually see as valuable[00:05:29] I mean, one of the things that I feel like I say a lot is, you have to have an understanding of your mission, the mission of data science. As somebody who, as a business leader champions it. Is to help people make those better and better and better decisions. And if you’re not doing that, you’re not creating value.[00:05:52] Full stop.[00:05:53] Bill Schmarzo: Totally agree with Mark. I think you’re going to find that all three of us are in violent agreement on a lot of this stuff. What I find interesting is it isn’t just a data scientist fault. Genevieve, you made a comment that leadership lacks the time to provide guidance to data scientists. So if leadership Is it treating data and analytics as an economics conversation if they think it’s a technology conversation is something that should be handled by the CIO, you’ve already lost, you’ve already failed, you already know you failed,[00:06:24] Mark mentioned the fact that this requires the blending of both sides of the aisle. It requires a data scientist to have the right mindset to ask questions like what it is that we’re trying to achieve. How do we create value? What are our desired outcomes? What are the KPIs metrics around which are going to make your success?[00:06:39] Who are our key stakeholders? There’s a series of questions that the data scientist must be empowered to ask and the business Leadership needs to provide the time and people and resources to understand what we’re trying to accomplish. It means we can go back old school with Stephen Covey, begin with an end in mind.[00:07:01] What is it we’re trying to do? Are we trying to improve customer retention? We try to do, you know, reduce unplanned operational downtime or improve patient outcomes. What is it we’re trying to accomplish? The conversation must, must start there. And it has to start with business leadership, setting the direction, setting the charter, putting the posts out where we want to go, and then the data science team collaborating with the stakeholders to unleash that organizational tribal knowledge to actually solve[00:07:32] Dr Genevieve Hayes: think a lot of the problem comes with the fact that many business leaders see data science as being like an IT project. So, if you’ve got your Windows upgrade, the leadership It gives the financing to IT, IT goes along and does it. And then one morning you’re told, when you come into work, your computer will magically upgrade to the latest version of Windows.[00:07:55] So no one really gets bothered by it. And I think many business leaders treat data science as just another IT project like that. They think they can just Give the funding, the data scientists will go away and then they’ll come in one morning and the data science will magically be on their computer.[00:08:15] Bill Schmarzo: Yeah, magic happens, right? No, no, magic doesn’t happen, it doesn’t happen. There has to be that leadership commitment to be at the forefront, not just on the boat, but at the front of the boat saying this is the direction we’re going to go.[00:08:29] John Thompson: That’s the whole reason this book was written. The whole point is that, analytics projects are not tech projects. Analytics projects are cultural transformation projects, is what they are. And if you’re expecting the CEO, CFO, CIO, COO, whoever it is, to go out there and set the vision.[00:08:50] That’s never going to happen because they don’t understand technology, and they don’t understand data. They’d rather be working on building the next factory or buying another company or something like that. What really has to happen is the analytics team has to provide leadership to the leadership for them to understand what they’re going to do.[00:09:12] So when I have a project that we’re trying to do, my team is trying to do, and if we’re working for, let’s say, marketing, I go to the CMO and I say, look, you have to dedicate and commit. that your subject matter experts are going to be in all the meetings. Not just the kickoff meetings, not just the quarterly business review, the weekly meetings.[00:09:36] Because when we go off as an analytics professionals and do things on our own, we have no idea what the business runs like. , we did analytics at one company that I work for. We brought it back and we showed it to the they said, the numbers are wildly wrong. And we said, well, why? And they said, well, you probably don’t understand that what we do is illegal in 10 US states.[00:10:00] So you probably have the data from all those 10 states in the analysis. And we did. So, we took it all out and they look down there and go, you got it right. It’s kind of surprising. You didn’t know what you were doing and you got it right. So, it has to be a marriage of the subject matter experts in the business.[00:10:17] And the data scientists, you can’t go to the leadership and say, tell us what you want. They don’t know what they want. They’d want another horse in Henry Ford’s time, or they glue a, a Walkman onto a radio or something in Steve Jobs time. They don’t know what they want. So you have to come together.[00:10:36] And define it together and you have to work through the entire project together.[00:10:42] Mark Stouse: Yeah, I would add to that, okay, that a lot of times the SMEs also have major holes in their knowledge that the analytics are going to challenge and give them new information. And so I totally agree. I mean, this is an iterative learning exchange. That has profound cultural implications.[00:11:11] One of the things that AI is doing right now is it is introducing a level of transparency and accountability into operations, corporate operations, my operations, your operations, that honestly, none of us are really prepared for. None of us are really prepared for the level of learning that we’re going to have to do.[00:11:36] And very few of us are aware of how polymathic. Most of our challenges, our problems, our objectives really are one of the things that I love to talk about in this regard is analytics made me a much better person. That I once was because it showed me the extent of my ignorance.[00:12:01] And when I kind of came to grips with that and I started to use really the modicum of knowledge that I have as a way of curating my ignorance. And I got humble about it made a big difference[00:12:16] John Thompson: Well, that’s the same when I was working shoulder to shoulder with Bill, I just realized how stupid I was. So, then I just, really had to, come back and, say, oh, God nowhere near the summit, I have a long way to go.[00:12:31] Bill Schmarzo: Hey, hey, Genevie. Let me throw something out there at you and it builds on what John has said and really takes off on what Mark is talking about is that there is a cultural preparation. It needs to take place across organizations in order to learn to master the economies of learning,[00:12:48] the economies of learning, because you could argue in knowledge based industries that what you are learning is more important than what you know. And so if what you know has declining value, and what you’re learning has increasing value, then what Mark talked about, and John as well, both city presenting data and people saying, I didn’t know that was going on, right?[00:13:09] They had a certain impression. And if they have the wrong cultural mindset. They’re going to fight that knowledge. They’re going to fight that learning, oh, I’m going to get fired. I’m going to get punished. No, we need to create cultures that says that we are trying to master the economies and learning and you can’t learn if you’re not willing to fail.[00:13:29] And that is what is powerful about what AI can do for us. And I like to talk about how I’m a big fan of design thinking. I integrate design thinking into all my workshops and all my training because it’s designed to. Cultivate that human learning aspect. AI models are great at cultivating algorithmic learning.[00:13:50] And when you bring those two things together around a learning culture that says you’re going to try things, you’re going to fail, you’re going to learn, those are the organizations that are going to win.[00:13:59] John Thompson: Yeah, you know, to tie together what Mark and Bill are saying there is that, you need people to understand that they’re working from an outmoded view of the business. Now, it’s hard for them to hear that. It’s hard for them to realize it. And what I ask data scientists to do that work for me is when we get a project and we have an operational area, sales, marketing, logistics, finance, manufacturing, whatever it is.[00:14:26] They agreed that they’re going to go on the journey with us. We do something really simple. We do an exploratory data analysis. We look at means and modes and distributions and things like that. And we come back and we say, this is what the business looks like today. And most of the time they go, I had no idea.[00:14:44] You know, I didn’t know that our customers were all, for the most part, between 70 and 50. I had no idea that our price point was really 299. I thought it was 3, 299. So you then end up coming together. You end up with a shared understanding of the business. Now one of two things is generally going to happen.[00:15:05] The business is going to freak out and leave the project and say, I don’t want anything to do with this, or they’re going to lean into it and say, I was working from something that was, as Bill said, declining value. Okay. Now, if they’re open, like a AI model that’s being trained, if they’re open to learning, they can learn what the business looks like today, and we can help them predict what the business should look like tomorrow.[00:15:31] So we have a real issue here that the three of us have talked about it from three different perspectives. We’ve all seen it. We’ve all experienced it. It’s a real issue, we know how people can come together. The question is, will they?[00:15:46] Dr Genevieve Hayes: think part of the issue is that, particularly in the area of data science, there’s a marked lack of leadership because I think a lot of people don’t understand how to lead these projects. So you’ve got Many data scientists who are trained heavily in the whole technical aspect of data science, and one thing I’ve come across is, you know, data scientists who’ll say to me, my job is to do the technical work, tell me what to do.[00:16:23] I’ll go away and do it. Give it to you. And then you manager can go and do whatever you like with it.[00:16:29] Mark Stouse: Model fitment.[00:16:31] Dr Genevieve Hayes: Yeah. And then one thing I’ve experienced is many managers in data science are, you know, It’s often the area that they find difficult to find managers for, so we’ll often get people who have no data science experience whatsoever[00:16:46] and so I think part of the solution is teaching the data scientists that they have to start managing up because they’re the ones who understand what they’re doing the best, but no one’s telling them that because the people above them often don’t know that they should be telling the data[00:17:08] John Thompson: Well, if that’s the situation, they should just fire everybody and save the money. Because it’s never going to go anywhere. But Bill, you were going to say something. Go ahead.[00:17:16] Bill Schmarzo: Yeah, I was going to say, what’s interesting about Genevieve, what you’re saying is that I see this a lot in not just data scientists, but in a lot of people who are scared to show their ignorance in new situations. I think Mark talked about this, is it because they’re, you think about if you’re a data scientist, you probably have a math background. And in math, there’s always a right answer. In data science, there isn’t. There’s all kinds of potential answers, depending on the situation and the circumstances. I see this all the time, by the way, with our sales folks. Who are afraid we’re selling technology. We’re afraid to talk to the line of business because I don’t understand their business Well, you don’t need to understand their business, but you do need to become like socrates and start asking questions What are you trying to accomplish?[00:18:04] What are your goals? What are your desired outcomes? How do you measure success? Who are your stakeholders ? You have to be genuinely interested In their success and ask those kind of questions if you’re doing it to just kind of check a box off Then just get chad gpt to rattle it off But if you’re genuinely trying to understand what they’re trying to accomplish And then thinking about all these marvelous different tools you have because they’re only tools And how you can weave them together to help solve that now you’ve got That collaboration that john’s book talks about about bringing these teams together Yeah[00:18:39] Mark Stouse: is, famously paraphrased probably did actually say something like this, . But he’s famously paraphrased as saying that he would rather have a really smart question than the best answer in the world. And. I actually experienced that two days ago,[00:18:57] in a conversation with a prospect where I literally, I mean, totally knew nothing about their business. Zero, but I asked evidently really good questions. And so his impression of me at the end of the meeting was, golly, you know, so much about our business. And I wanted to say, yeah, cause you just educated me.[00:19:21] Right. You know, I do now. And so I think there’s actually a pattern here that’s really worth elevating. So what we are seeing right now with regard to data science teams is scary similar to what happened with it after Y2K, the business turned around and looked at him and said, seriously, we spend all that money,[00:19:45] I mean, what the heck? And so what happened? The CIO got, demoted organizationally pretty far down in the company wasn’t a true C suite member anymore. Typically the whole thing reported up into finance. The issue was not. Finance, believing that they knew it better than the it people,[00:20:09] it was, we are going to transform this profession from being a technology first profession to a business outcomes. First profession, a money first profession, an economics organization, that has more oftentimes than not been the outcome in the last 25 years. But I think that that’s exactly what’s going on right now with a lot of data science teams.[00:20:39] You know, I used to sit in technology briefing rooms, listening to CIOs and other people talk about their problems. And. This one CIO said, you know, what I did is I asked every single person in my organization around the world to go take a finance for non financial managers course at their local university.[00:21:06] They want credit for it. We’ll pay the bill. If they just want to audit it, they can do that. And they started really cross pollinating. These teams to give them more perspective about the business. I totally ripped that off because it just struck me as a CMO as being like, so many of these problems, you could just do a search and replace and get to marketing.[00:21:32] And so I started doing the same thing and I’ve made that suggestion to different CDOs, some of whom have actually done it. So it’s just kind of one of those things where you have to say, I need to know more. So this whole culture of being a specialist is changing from.[00:21:53] This, which, this is enough, this is okay , I’m making a vertical sign with my hand, to a T shaped thing, where the T is all about context. It’s all about everything. That’s not part of your. Profession[00:22:09] John Thompson: Yeah, well, I’m going to say that here’s another book that you should have your hands on. This is Aristotle. We can forget about Socrates. Aristotle’s the name. But you know. But , Bill’s always talking about Socrates. I’m an Aristotle guy myself. So, you[00:22:23] Bill Schmarzo: Okay, well I Socrates had a better jump shot. I’m sorry. He could really nail that[00:22:28] John Thompson: true. It’s true. Absolutely. Well, getting back , to the theme of the discussion, in 1 of the teams that I had at CSL bearing, which is an Australian company there in Melbourne, I took my data science team and I brought in speech coaches.[00:22:45] Presentation coaches people who understand business, people who understood how to talk about different things. And I ran them through a battery of classes. And I told them, you’re going to be in front of the CEO, you’re going to be in front of the EVP of finance, you’re going to be in front of all these different people, and you need to have the confidence to speak their language.[00:23:07] Whenever we had meetings, we talk data science talk, we talk data and integration and vectors and, algorithms and all that kind of stuff. But when we were in the finance meeting, we talked finance. That’s all we talked. And whenever we talked to anybody, we denominated all our conversations in money.[00:23:25] Whether it was drachma, yen, euros, pounds, whatever it was, we never talked about speeds and feeds and accuracy and results. We always talked about money. And if it didn’t make money, we didn’t do it. So, the other thing that we did that really made a difference was that when the data scientists and data scientists hate this, When they went into a meeting, and I was there, and even if I wasn’t there, they were giving the end users and executives recommendations.[00:23:57] They weren’t going in and showing a model and a result and walking out the door and go, well, you’re smart enough to interpret it. No, they’re not smart enough to interpret it. They actually told the marketing people. These are the 3 things you should do. And if your data scientists are not being predictive and recommending actions, they’re not doing their job.[00:24:18] Dr Genevieve Hayes: What’s the, so what test At the end of everything, you have to be able to say, so what does this mean to whoever your audience is?[00:24:25] Mark Stouse: That’s right. I mean, you have to be able to say well, if the business team can’t look at your output, your data science output, and know what to do with it, and know how to make a better decision, it’s like everything else that you did didn’t happen. I mean it, early in proof, we were working on. UX, because it became really clear that what was good for a data scientist wasn’t working. For like everybody else. And so we did a lot of research into it. Would you believe that business teams are okay with charts? Most of them, if they see a graph, they just totally freeze and it’s not because they’re stupid.[00:25:08] It’s because so many people had a bad experience in school with math. This is a psychological, this is an intellectual and they freeze. So in causal analytics, one of the challenges is that, I mean, this is pretty much functioning most of the time anyway, on time series data, so there is a graph,[00:25:31] this is kind of like a non negotiable, but we had a customer that was feeding data so fast into proof that the automatic recalc of the model was happening like lickety split. And that graph all of a sudden looked exactly like a GPS. It worked like a GPS. In fact, it really is a GPS. And so as soon as we stylized.[00:26:01] That graph to look more like a GPS track, all of a sudden everybody went, Oh,[00:26:10] Dr Genevieve Hayes: So I got rid of all the PTSD from high school maths and made it something familiar.[00:26:16] Mark Stouse: right. And so it’s very interesting. Totally,[00:26:21] Bill Schmarzo: very much mirrors what mark talked about So when I was the new vice president of advertiser analytics at yahoo we were trying to solve a problem to help our advertisers optimize their spend across the yahoo ad network and because I didn’t know anything about that industry We went out and my team went out and interviewed all these advertisers and their agencies.[00:26:41] And I was given two UEX people and zero data. Well, I did have one data scientist. But I had mostly UX people on this project. My boss there said, you’re going to want UX people. I was like, no, no, I need analytics. He said, trust me in UX people and the process we went through and I could spend an hour talking about the grand failure of the start and the reclamation of how it was saved at a bar after too many drinks at the Waldorf there in New York.[00:27:07] But what we’ve realized is that. For us to be effective for our target audience was which was media planners and buyers and campaign managers. That was our stakeholders. It wasn’t the analysts, it was our stakeholders. Like Mark said, the last thing they wanted to see was a chart. And like John said, what they wanted the application to do was to tell them what to do.[00:27:27] So we designed this user interface that on one side, think of it as a newspaper, said, this is what’s going on with your campaign. This audience is responding. These sites are this, these keywords are doing this. And the right hand side gave recommendations. We think you should move spend from this to this.[00:27:42] We think you should do this. And it had three buttons on this thing. You could accept it and it would kick into our advertising network and kick in. And we’d measure how effective that was. They could reject it. They didn’t think I was confident and we’d measure effectiveness or they could change it. And we found through our research by putting that change button in there that they had control, that adoption went through the roof.[00:28:08] When it was either yes or no, adoption was really hard, they hardly ever used it. Give them a chance to actually change it. That adoption went through the roof of the technology. So what John was saying about, you have to be able to really deliver recommendations, but you can’t have the system feel like it’s your overlord.[00:28:27] You’ve got to be like it’s your Yoda on your shoulder whispering to your saying, Hey, I think you should do this. And you’re going, eh, I like that. No, I don’t like this. I want to do that instead. And when you give them control, then the adoption process happens much smoother. But for us to deliver those kinds of results, we had to know in detail, what decisions are they trying to make?[00:28:45] How are they going to measure success? We had to really understand their business. And then the data and the analytics stuff was really easy because we knew what we had to do, but we also knew what we didn’t have to do. We didn’t have to boil the ocean. We were trying to answer basically 21 questions.[00:29:01] The media planners and buyers and the campaign managers had 21 decisions to make and we built analytics and recommendations for each Of those 21[00:29:10] John Thompson: We did the same thing, you know, it blends the two stories from Mark and Bill, we were working at CSL and we were trying to give the people tools to find the best next location for plasma donation centers. And, like you said, there were 50, 60 different salient factors they had, and when we presented to them in charts and graphs, Information overload.[00:29:34] They melted down. You can just see their brains coming out of their ears. But once we put it on a map and hit it all and put little dials that they could fiddle with, they ran with it.[00:29:49] Bill Schmarzo: brilliant[00:29:50] Mark Stouse: totally, totally agree with that. 100% you have to know what to give people and you have to know how to give them, control over some of it, nobody wants to be an automaton. And yet also they will totally lock up if you just give them the keys to the kingdom. Yeah.[00:30:09] Dr Genevieve Hayes: on what you’ve been saying in the discussion so far, what I’m hearing is that the critical difference between what data scientists think their role is and what business leaders actually need is the data scientists is. Well, the ones who aren’t performing well think their role is to just sit there in a back room and do technical work like they would have done in their university assignments.[00:30:33] What the business leaders need is someone who can work with them, ask the right questions in order to understand the needs of the business. make recommendations that answer those questions. But in answering those questions, we’re taking a data informed approach rather than a data driven approach. So you need to deliver the answers to those questions in such a way that you’re informing the business leaders and you’re delivering it in a way that Delivers the right user experience for them, rather than the user experience that the data scientists might want, which would be your high school maths graphs.[00:31:17] Is that a good summary?[00:31:20] John Thompson: Yeah, I think that’s a really good summary. You know, one of the things that Bill and I, and I believe Mark understands is we’re all working to change, you know, Bill and I are teaching at universities in the United States. I’m on the advisory board of about five. Major universities. And whenever I go in and talk to these universities and they say, Oh, well, we teach them, these algorithms and these mathematical techniques and these data science and this statistics.[00:31:48] And I’m like, you are setting these people up for failure. You need to have them have presentation skills, communication skills, collaboration. You need to take about a third of these credits out and change them out for soft skills because you said it Genevieve, the way we train people, young people in undergraduate and graduate is that they have a belief that they’re going to go sit in a room and fiddle with numbers.[00:32:13] That’s not going to be successful.[00:32:16] Mark Stouse: I would give one more point of dimensionality to this, which is a little more human, in some respects, and that is that I think that a lot of data scientists love the fact that they are seen as Merlin’s as shamans. And the problem that I personally witnessed this about two years ago is when you let business leaders persist in seeing you in those terms.[00:32:46] And when all of a sudden there was a major meltdown of some kind, in this case, it was interest rates, and they turn around and they say, as this one CEO said in this meeting Hey, I know you’ve been doing all kinds of really cool stuff back there with AI and everything else. And now I need help.[00:33:08] Okay. And the clear expectation was. I need it now, I need some brilliant insight now. And the answer that he got was, we’re not ready yet. We’re still doing the data management piece. And this CEO dropped the loudest F bomb. That I think I have ever heard from anybody in almost any situation,[00:33:36] and that guy, that data science leader was gone the very next day. Now, was that fair? No. Was it stupid? For the data science leader to say what he said. Yeah, it was really dumb.[00:33:52] Bill Schmarzo: Don’t you call that the tyranny of perfection mark? Is that your term that you always use? is that There’s this idea that I gotta get the data all right first before I can start doing analysis And I think it’s you I hear you say the tyranny of perfection is what hurts You Progress over perfection, learning over absolutes, and that’s part of the challenge is it’s never going to be perfect.[00:34:13] Your data is never going to be perfect, you got to use good enough data[00:34:17] Mark Stouse: It’s like the ultimate negative version of the waterfall.[00:34:22] John Thompson: Yeah,[00:34:23] Mark Stouse: yet we’re all supposedly living in agile paradise. And yet very few people actually operate[00:34:30] John Thompson: that’s 1 thing. I want to make sure that we get in the recording is that I’ve been on record for years and I’ve gone in front of audiences and said this over and over again. Agile and analytics don’t mix that is. There’s no way that those 2 go together. Agile is a babysitting methodology. Data scientists don’t do well with it.[00:34:50] So, you know, I’ll get hate mail for that, but I will die on that hill. But, the 1 thing that, Mark, I agree with 100 percent of what you said, but the answer itself or the clue itself is in the title. We’ve been talking about. It’s data science. It’s not magic. I get people coming and asking me to do magical things all the time.[00:35:11] And I’m like. Well, have you chipped all the people? Do you have all their brain waves? If you have that data set, I can probably analyze it. But, given that you don’t understand what’s going on inside their cranium, that’s magic. I can’t do that. We had the same situation when COVID hit, people weren’t leaving their house.[00:35:29] So they’re not donating plasma. It’s kind of obvious, so, people came to us and said, Hey, the world’s gone to hell in a handbasket in the last two weeks. The models aren’t working and I’m like, yeah, the world’s changed, give us four weeks to get a little bit of data.[00:35:43] We’ll start to give you a glimmer of what this world’s going to look like two months later. We had the models working back in single digit error terms, but when the world goes haywire, you’re not going to have any data, and then when the executives are yelling at you, you just have to say, look, this is modeling.[00:36:01] This is analytics. We have no precedent here.[00:36:05] Bill Schmarzo: to build on what John was just saying that the challenge that I’ve always seen with data science organizations is if they’re led by somebody with a software development background, getting back to the agile analytics thing, the problem with software development. is that software development defines the requirements for success.[00:36:23] Data science discovers them. It’s hard to make that a linear process. And so, if you came to me and said, Hey, Schmarz, you got a big, giant data science team. I had a great data science team at Hitachi. Holy cow, they were great. You said, hey, we need to solve this problem. When can you have it done?[00:36:38] I would say, I need to look at the problem. I need to start exploring it. I can’t give you a hard date. And that drove software development folks nuts. I need a date for when I, I don’t know, cause I’ve got to explore. I’m going to try lots of things. I’m going to fail a lot.[00:36:51] I’m going to try things that I know are going to fail because I can learn when I fail. And so, when you have an organization that has a software development mindset, , like John was talking about, they don’t understand the discovery and learning process that the data science process has to go through to discover the criteria for success.[00:37:09] Mark Stouse: right. It’s the difference between science and engineering.[00:37:13] John Thompson: Yes, exactly. And 1 of the things, 1 of the things that I’ve created, it’s, you know, everybody does it, but I have a term for it. It’s a personal project portfolio for data scientists. And every time I’ve done this and every team. Every data scientist has come to me individually and said, this is too much work.[00:37:32] It’s too hard. I can’t[00:37:34] Bill Schmarzo: Ha, ha, ha,[00:37:35] John Thompson: three months later, they go, this is the only way I want to work. And what you do is you give them enough work so when they run into roadblocks, they can stop working on that project. They can go out and take a swim or work on something else or go walk their dog or whatever.[00:37:53] It’s not the end of the world because the only project they’re working on can’t go forward. if they’ve got a bunch of projects to time slice on. And this happens all the time. You’re in, team meetings and you’re talking and all of a sudden the data scientist isn’t talking about that forecasting problem.[00:38:09] It’s like they ran into a roadblock. They hit a wall. Then a week later, they come in and they’re like, Oh, my God, when I was in the shower, I figured it out. You have to make time for cogitation, introspection, and eureka moments. That has to happen in data science.[00:38:28] Bill Schmarzo: That is great, John. I love that. That is wonderful.[00:38:30] Mark Stouse: And of course the problem is. Yeah. Is that you can’t predict any of that, that’s the part of this. There’s so much we can predict. Can’t predict that.[00:38:42] Bill Schmarzo: you know what you could do though? You could do Mark, you could prescribe that your data science team takes multiple showers every day to have more of those shower moments. See, that’s the problem. I see a correlation. If showers drive eureka moments, dang it.[00:38:54] Let’s give him more showers.[00:38:56] John Thompson: Yep. Just like firemen cause fires[00:38:59] Mark Stouse: Yeah, that’s an interesting correlation there, man.[00:39:05] Dr Genevieve Hayes: So, if businesses need something different from what the data scientists are offering, why don’t they just articulate that in the data scientist’s role description?[00:39:16] John Thompson: because they don’t know they need it.[00:39:17] Mark Stouse: Yeah. And I think also you gotta really remember who you’re dealing with here. I mean, the background of the average C suite member is not highly intellectual. That’s not an insult, that’s just they’re not deep thinkers. They don’t think a lot. They don’t[00:39:37] John Thompson: that with tech phobia.[00:39:38] Mark Stouse: tech phobia and a short termism perspective.[00:39:43] That arguably is kind of the worst of all the pieces.[00:39:48] John Thompson: storm. It’s a[00:39:49] Mark Stouse: It is, it is a[00:39:50] John Thompson: know, I, I had, I’ve had CEOs come to me and say, we’re in a real crisis here and you guys aren’t helping. I was like, well, how do you know we’re not helping? You never talked to us. And, in this situation, we had to actually analyze the entire problem and we’re a week away from making recommendations.[00:40:08] And I said that I said, we have an answer in 7 days. He goes, I need an answer today. I said, well, then you should go talk to someone else because in 7 days, I’ll have it. But now I don’t. So, I met with him a week later. I showed them all the data, all the analytics, all the recommendations. And they said to me, we don’t really think you understand the business well enough.[00:40:27] We in the C suite have looked at it and we don’t think that this will solve it. And I’m like, okay, fine, cool. No problem. So I left, and 2 weeks later, they called me in and said, well, we don’t have a better idea. So, what was that you said? And I said, well, we’ve coded it all into the operational systems.[00:40:43] All you have to do is say yes. And we’ll turn it on and it was 1 of the 1st times and only times in my life when the chart was going like this, we made all the changes and it went like that. It was a perfect fit. It worked like a charm and then, a month later, I guess it was about 6 months later, the CEO came around and said, wow, you guys really knew your stuff.[00:41:07] You really were able to help us. Turn this around and make it a benefit and we turned it around faster than any of the competitors did. And then he said, well, what would you like to do next? And I said, well, I resigned last week. So, , I’m going to go do it somewhere else.[00:41:22] And he’s like, what? You just made a huge difference in the business. And I said, yeah, you didn’t pay me anymore. You didn’t recognize me. And I’ve been here for nearly 4 years, and I’ve had to fight you tooth and nail for everything. I’m tired of it.[00:41:34] Mark Stouse: Yeah. That’s what’s called knowing your value. One of the things that I think is so ironic about this entire conversation is that if any function has the skillsets necessary to forecast and demonstrate their value as multipliers. Of business decisions, decision quality, decision outcomes it’s data science.[00:42:05] And yet they just kind of. It’s like not there. And when you say that to them, they kind of look at you kind of like, did you really just say that, and so it is, one of the things that I’ve learned from analytics is that in the average corporation, you have linear functions that are by definition, linear value creators.[00:42:32] Sales would be a great example. And then you have others that are non linear multipliers. Marketing is one, data science is another, the list is long, it’s always the non linear multipliers that get into trouble because they don’t know how to show their value. In the same way that a linear creator can show it[00:42:55] John Thompson: And I think that’s absolutely true, Mark. And what I’ve been saying, and Bill’s heard this until he’s sick of it. Is that, , data science always has to be denominated in currency. Always, if you can’t tell them in 6 months, you’re going to double the sales or in 3 months, you’re going to cut cost or in, , 5 months, you’re going to have double the customers.[00:43:17] If you’re not denominating that in currency and whatever currency they care about, you’re wasting your time.[00:43:23] Dr Genevieve Hayes: The problem is, every single data science book tells you that the metrics to evaluate models by are, precision, recall, accuracy, et[00:43:31] John Thompson: Yeah, but that’s technology. That’s not business.[00:43:34] Dr Genevieve Hayes: exactly. I’ve only ever seen one textbook where they say, those are technical metrics, but the metrics that really count are the business metrics, which are basically dollars and cents.[00:43:44] John Thompson: well, here’s the second one that says it.[00:43:46] Dr Genevieve Hayes: I will read that. For the audience it’s Business Analytics Teams by John Thompson.[00:43:51] John Thompson: building analytics[00:43:52] Dr Genevieve Hayes: Oh, sorry, Building[00:43:54] Mark Stouse: But, but I got to tell you seriously, the book that John wrote that everybody needs to read in business. Okay. Not just data scientists, but pretty much everybody. Is about causal AI. And it’s because almost all of the questions. In business are about, why did that happen? How did it happen? How long did it take for that to happen?[00:44:20] It’s causal. And so, I mean, when you really look at it that way and you start to say, well, what effects am I causing? What effects is my function causing, all of a sudden the scales kind of have a way of falling away from your eyes and you see things. Differently.[00:44:43] John Thompson: of you to say that about that book. I appreciate that.[00:44:46] Mark Stouse: That kick ass book, kick[00:44:48] John Thompson: Well, thank you. But, most people don’t understand that we’ve had analytical or foundational AI for 70 years. We’ve had generative AI for two, and we’ve had causal for a while, but only people understand it are the people on this call and Judea Pearl and maybe 10 others in the world, but we’re moving in a direction where those 3 families of AI are going to be working together in what I’m calling composite AI, which is the path to artificial, or as Bill says, average general intelligence or AGI.[00:45:24] But there are lots of eight eyes people talk about it as if it’s one thing and it’s[00:45:29] Mark Stouse: Yeah, correct. That’s right.[00:45:31] Dr Genevieve Hayes: I think part of the problem with causal AI is it’s just not taught in data science courses.[00:45:37] John Thompson: it was not taught anywhere. The only place it’s taught is UCLA.[00:45:40] Mark Stouse: But the other problem, which I think is where you’re going with it Genevieve is even 10 years ago, they weren’t even teaching multivariable linear regression as a cornerstone element of a data science program. So , they basically over rotated and again, I’m not knocking it.[00:46:01] I’m not knocking machine learning or anything like that. Okay. But they over rotated it and they turned it into some sort of Omni tool, that could do it all. And it can’t do it all.[00:46:15] Dr Genevieve Hayes: think part of the problem is the technical side of data science is the amalgamation of statistics and computer science . But many data science university courses arose out of the computer science departments. So they focused on the machine learning courses whereas many of those things like.[00:46:34] multivariable linear analysis and hypothesis testing, which leads to things like causal AI. They’re taught in the statistics courses that just don’t pop up in the data science programs.[00:46:46] Mark Stouse: Well, that’s certainly my experience. I teach at USC in the grad school and that’s the problem in a nutshell right there. In fact, we’re getting ready to have kind of a little convocation in LA about this very thing in a couple of months because it’s not sustainable.[00:47:05] Bill Schmarzo: Well, if you don’t mind, I’m going to go back a second. We talked about, measuring success as currency. I’m going to challenge that a little bit. We certainly need to think about how we create value, and value isn’t just currency. John held up a book earlier, and I’m going to hold up one now, Wealth of Nations,[00:47:23] John Thompson: Oh yeah.[00:47:25] Bill Schmarzo: Page 28, Adam Smith talks about value he talks about value creation, and it isn’t just about ROI or net present value. Value is a broad category. You got customer value, employee value, a partner stakeholder. You have society value, community value of environmental value.[00:47:43] We have ethical value. And as we look at the models that we are building, that were guided or data science teams to build, we need to broaden the definition of value. It isn’t sufficient if we can drive ROI, if it’s destroying our environment and putting people out of work. We need to think more holistically.[00:48:04] Adam Smith talks about this. Yeah, 1776. Good year, by the way, it’s ultimate old school, but it’s important when we are As a data science team working with the business that we’re broadening their discussions, I’ve had conversations with hospitals and banks recently. We run these workshops and one of the things I always do, I end up pausing about halfway through the workshop and say, what are your desired outcomes from a community perspective?[00:48:27] You sit inside a community or hospital. You have a community around you, a bank, you have a community around you. What are your desired outcomes for that community? How are you going to measure success? What are those KPIs and metrics? And they look at me like I got lobsters crawling out of my ears.[00:48:40] The thing is is that it’s critical if we’re going to Be in champion data science, especially with these tools like these new ai tools causal predictive generative autonomous, these tools allow us to deliver a much broader range of what value is And so I really rail against when somebody says, you know, and not trying to really somebody here but You know, we gotta deliver a better ROI.[00:49:05] How do you codify environmental and community impact into an ROI? Because ROI and a lot of financial metrics tend to be lagging indicators. And if you’re going to build AI models, you want to build them on leading indicators.[00:49:22] Mark Stouse: It’s a lagging efficiency metric,[00:49:24] Bill Schmarzo: Yeah, exactly. And AI doesn’t do a very good job of optimizing what’s already happened.[00:49:29] That’s not what it does.[00:49:30] John Thompson: sure.[00:49:31] Bill Schmarzo: I think part of the challenge, you’re going to hear this from John and from Mark as well, is that we broaden this conversation. We open our eyes because AI doesn’t need to just deliver on what’s happened in the past, looks at the historical data and just replicates that going forward.[00:49:45] That leads to confirmation bias of other things. We have a chance in AI through the AI utility function to define what it is we want our AI models to do. from environmental, society, community, ethical perspective. That is the huge opportunity, and Adam Smith says that so.[00:50:03] John Thompson: There you go. Adam Smith. I love it. Socrates, Aristotle, Adam[00:50:08] Bill Schmarzo: By the way, Adam Smith motivated this book that I wrote called The Economics of Data Analytics and Digital Transformation I wrote this book because I got sick and tired of walking into a business conversation and saying, Data, that’s technology. No, data, that’s economics.[00:50:25] Mark Stouse: and I’ll tell you what, you know what, Genevieve, I’m so cognizant of the fact in this conversation that the summer can’t come fast enough when I too will have a book,[00:50:39] John Thompson: yay.[00:50:41] Mark Stouse: yeah, I will say this, One of the things that if you use proof, you’ll see this, is that there’s a place where you can monetize in and out of a model, but money itself is not causal. It’s what you spend it on. That’s either causal or in some cases, not[00:51:01] That’s a really, really important nuance. It’s not in conflict with what John was saying about monetizing it. And it’s also not in conflict with what. My friend Schmarrs was saying about, ROI is so misused as a term in business. It’s just kind of nuts.[00:51:25] It’s more like a shorthand way of conveying, did we get value[00:51:31] John Thompson: yeah. And the reason I say that we denominated everything in currency is that’s generally one of the only ways. to get executives interested. If you go in and say, Oh, we’re going to improve this. We’re going to improve that. They’re like, I don’t care. If I say this project is going to take 6 months and it’s going to give you 42 million and it’s going to cost you nothing, then they’re like, tell me more, and going back to what Bill had said earlier, we need to open our aperture on what we do with these projects when we were at Dell or Bill and I swapped our times at Dell, we actually did a project with a hospital system in the United States and over 2 years.[00:52:11] We knocked down the incidence of post surgical sepsis by 72%. We saved a number of lives. We saved a lot of money, too, but we saves people’s lives. So analytics can do a lot. Most of the people are focused on. Oh, how fast can we optimize the search engine algorithm? Or, how can we get the advertisers more yield or more money?[00:52:32] There’s a lot of things we can do to make this world better. We just have to do it.[00:52:36] Mark Stouse: The fastest way to be more efficient is to be more effective, right? I mean, and so when I hear. CEOs and CFOs, because those are the people who use this language a lot. Talk about efficiency. I say, whoa, whoa, hold on. You’re not really talking about efficiency. You’re talking about cost cutting.[00:52:58] Those two things are very different. And it’s not that you shouldn’t cut costs if you need to, but it’s not efficiency. And ultimately you’re not going to cut your way into better effectiveness. It’s just not the way things go.[00:53:14] John Thompson: Amen.[00:53:15] Mark Stouse: And so, this is kind of like the old statement about physicists,[00:53:18] if they’re physicists long enough, they turn into philosophers. I think all three of us, have that going on. Because we have seen reality through a analytical lens for so long that you do actually get a philosophy of things.[00:53:38] Dr Genevieve Hayes: So what I’m hearing from all of you is that for data scientists to create value for the businesses that they’re working for, they need to start shifting their approach to basically look at how can we make the businesses needs. And how can we do that in a way that can be expressed in the business’s language, which is dollars and cents, but also, as Bill pointed out value in terms of the community environment.[00:54:08] So less financially tangible points of view.[00:54:11] Bill Schmarzo: And if I could just slightly add to that, I would say first thing that they need to do is to understand how does our organization create value for our constituents and stakeholders.[00:54:22] Start there. Great conversation. What are our desired outcomes? What are the key decisions? How do we measure success? If we have that conversation, by the way, it isn’t unusual to have that conversation with the business stakeholders and they go I’m not exactly sure.[00:54:37] John Thompson: I don’t know how that works.[00:54:38] Bill Schmarzo: Yeah. So you need to find what are you trying to improve customer retention? You’re trying to increase market share. What are you trying to accomplish and why and how are you going to measure success? So the fact that the data science team is asking that question, because like John said, data science can solve a whole myriad of problems.[00:54:54] It isn’t that it can’t solve. It can solve all kinds. That’s kind of the challenge. So understanding what problems we want to solve starts by understanding how does your organization create value. If you’re a hospital, like John said, reducing hospital acquired infections, reducing long term stay, whatever it might be.[00:55:09] There are some clear goals. Processes initiatives around which organizations are trying to create value[00:55:18] Dr Genevieve Hayes: So on that note, what is the single most important change our listeners could make tomorrow to accelerate their data science impact and results?[00:55:28] John Thompson: I’ll go first. And it’s to take your data science teams and not merge them into operational teams, but to introduce the executives that are in charge of these areas and have them have an agreement that they’re going to work together. Start there.[00:55:46] Bill Schmarzo: Start with how do you how does the organization create value? I mean understand that fundamentally ask those questions and keep asking until you find somebody in the organization who can say we’re trying to do this[00:55:57] Mark Stouse: to which I would just only add, don’t forget the people are people and they all have egos and they all want to appear smarter and smarter and smarter. And so if you help them do that, you will be forever in there must have list, it’s a great truth that I have found if you want to kind of leverage bills construct, it’s the economies of ego.[00:56:24] Bill Schmarzo: I like[00:56:24] John Thompson: right, Mark, wrap this up. When’s your book coming out? What’s the title?[00:56:28] Mark Stouse: It’s in July and I’ll be shot at dawn. But if I tell you the title, but so I interviewed several hundred fortune, 2000 CEOs and CFOs about how they see go to market. The changes that need to be made in go to market. The accountability for it all that kind of stuff. And so the purpose of this book really in 150, 160 pages is to say, Hey, they’re not all correct, but this is why they’re talking to you the way that they’re talking to you, and this is why they’re firing.[00:57:05] People in go to market and particularly in B2B at an unprecedented rate. And you could, without too much deviation, do a search and replace on marketing and sales and replace it with data science and you’d get largely the same stuff. LinkedIn,[00:57:25] Dr Genevieve Hayes: for listeners who want to get in contact with each of you, what can they do?[00:57:29] John Thompson: LinkedIn. John Thompson. That’s where I’m at.[00:57:32] Mark Stouse: Mark Stouse,[00:57:34] Bill Schmarzo: And not only connect there, but we have conversations all the time. The three of us are part of an amazing community of people who have really bright by diverse perspectives. And we get into some really great conversations. So not only connect with us, but participate, jump in. Don’t be afraid.[00:57:51] Dr Genevieve Hayes: And there you have it, another value packed episode to help you turn your data skills into serious clout, cash, and career freedom. If you found today’s episode useful and think others could benefit, please leave us a rating and review on your podcast platform of choice. That way we’ll be able to reach more data scientists just like you.[00:58:11] Thanks for joining me today, Bill, Mark, and John.[00:58:16] Mark Stouse: Great being with[00:58:16] John Thompson: was fun.[00:58:18] Dr Genevieve Hayes: And for those in the audience, thanks for listening. I’m Dr. Genevieve Hayes, and this has been value driven data science. The post Episode 53: A Wake-Up Call from 3 Tech Leaders on Why You're Failing as a Data Scientist first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

“Take micro steps and achieve uncommon success.” “Build supportive communities and extend grace.” “Define success on your own terms and embrace uniqueness.” Chapters: 00:00 Introduction: Edwige Robinson's Journey 02:45 Believe It's Possible: Conquering Mountains and Achieving Uncommon Success 05:15 The Power of Micro Steps and Momentum 10:03 Building Supportive Communities and Extending Grace 16:04 Defining Success on Your Own Terms 21:13 Assuming Positive Intent and Choosing Love in the Workplace 25:05 Creating Your Own Path and Making a Positive Impact Episode Summary: Edwige Robinson, author of 'Believe It's Possible,' shares her insights on achieving success and embracing your uniqueness. She emphasizes the importance of taking micro steps, building supportive communities, and defining success on your own terms. Edwige encourages listeners to extend grace, assume positive intent, and choose love in the workplace. She reminds us that we have the power to create our own path and make a positive impact on others. Her book serves as a guide to help readers conquer their mountains, blaze their trails, and achieve uncommon success. R.O.G. Takeaway Tips: Take micro steps and embrace the momentum of small wins to achieve success. Build supportive communities and surround yourself with a personal board of directors. Define success on your own terms and embrace what makes you different. Extend grace, assume positive intent, and choose love in the workplace. You have the power to create your own path and make a positive impact on others. Guest Bio: Edwige A. Robinson is a transformative force in the world of technology. Recognized as a subject matter expert, speaker, and visionary, Edwige seamlessly combines her engineering proficiency, technological acumen, and business expertise to bring the future to the present for both her team and customers. One of her superpowers is her ability to take complex ideas and simplify them to enable accelerated business growth.  Her collaborative approach across Fortune 100 enterprises has proven to be a winning strategy for transformation. With over 27 years in telecommunications and technology, she specializes in leading strategic initiatives that drive transformative change within Fortune 100 companies. In her previous role, at industry leaders like T-Mobile, Edwige directed multi-billion-dollar projects in engineering, operations, and risk management, focusing on operational excellence, cost efficiency, and rapid market deployment. Moreover, in telecom giants like CommScope, Verizon Wireless, Nortel, AT&T, and Comcast NBC Universal, Edwige has honed her ability to adapt quickly to market shifts and evolve legacy systems into agile, efficient operations. Her journey in technology began as a Field Technician, navigating the streets and scaling rooftops in Washington, D.C. It was in these humble beginnings that she realized the impact on customer experience and the power of strategic planning. Today, acknowledged as the third-ranked leader in Telco and Innovation by Mobile Magazine and a recipient of the 30 Black Stars Pinnacle Award, Edwige's impact extends globally. She's recognized in Crain's 2023 Chicago Business Notable Women in STEM, a member of Forbes Magazine Technology Council, and listed in Onalytica's Who's Who in 5G, and March 8's top 100 women in Technology. Edwige is also a member of the Executive Leadership Council, which enables Black executives to positively impact business and their communities. Beyond her professional achievements, Edwige is a beacon of hope and courage. Recognized by Aleria Tech as one of the “Awesome Black Women Everyone Should Know” and a mentor for the 1 million STEM women, she exemplifies the possibilities that arise with the right mentors, guidance, and courage. She is a sought-after speaker at global tech conferences as well as at AfroTech and Grace Hopper Conferences. Edwige recently released her book, Believe It's Possible. A narrative of hope, courage, leadership, and the unwavering belief in the potential within each individual. Resources: Be your own hero - Edwige A Robinson, Sr. Vice President at T-Mobile Wednesday Live! with Edwige Robinson  Edwige A. Robinson, As triple minority leader in Tech - Navigating the Technology Realm  Edwige Robinson - Global Motivational Speaker  How to Become a Leader in Technology  Edwige Robinson's Website  Edwige Robinson on Twitter/X (@Edwigerobinson) Edwige Robinson on Instagram (@edwigerobinson) Edwige Robinson on TikTok (@Believeitspossible8) Edwige Robinson on Linkedin (in/edwigearobinson) Linkedin newsletter for Edwige Robinson Where to find R.O.G. Podcast: R.O.G on YouTube R.O.G on Apple Podcasts R.O.G on Spotify How diverse is your network?  N.D.I. Network Diversity Index What is your Generosity Style?  Generosity Quiz Credits: Edwige Robinson, Sheep Jam Productions, Host Shannon Cassidy, Bridge Between, Inc. Coming Next: Please join us next week, Episode 200, Host, Shannon Cassidy.

In this episode of The Bankers' Bookshelf, Paolo Sironi hosts Richard Turrin, author of "Cashless," as part of the Bankers' Bookshelf series. They discuss the shift towards a cashless society driven by Central Bank Digital Currencies (CBDCs) and fintech innovations. Turrin explains how CBDCs could reduce reliance on credit cards, lower transaction fees, and streamline commercial payments, while also benefiting financial stability. They also explore the risks and opportunities for banks, and how countries like China are leading in this transformation. Turrin highlights the future of less cash, improved payment systems, and the societal impact of digital currencies. ‌ About the Author: Rich Turrin is an international best-selling author and a leading expert on China's digital yuan. He is a leading voice in the international central bank digital currency dialogue. His books “Cashless - China's Digital Currency Revolution” and “Innovation Lab Excellence” highlight the good financial innovation can do and established him as a leading voice in Asia's fast paced fintech community. He is rated number 4 globally on Onalytica's prestigious Fintech Influencer list and an award-winning executive previously heading fintech teams at IBM following a twenty year career in investment banking. Living in Shanghai for the last decade, Rich experienced China going cashless first-hand and has a unique combination of banking and technology skills that allow him to bring the exciting story of China going “Cashless” to life in his book and keynotes. Rich is an independent consultant whose views on China's astounding fintech developments are widely sought by international media and private clients. ‌ Connect here: https://www.linkedin.com/in/turrin/ Official Website: https://richturrin.com/videos-and-interviews/ -Learn more about the bestseller "Cashless" the first book about China's new digital currency now with over 200 5 star reviews: https://www.amazon.com/dp/B0925JY69H -Best seller "Innovation Lab Excellence" fixes "innovation theater.": https://www.amazon.com/Innovation-Lab-Excellence-Digital-Transformation/dp/1949642070/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr= -Subscribe to the Cashless newsletter!: https://richturrin.substack.com/ ‌ Paolo Sironi: https://www.linkedin.com/in/thepsironi/ IBM FinTech Strategy and Author

Dr Ben Hamer is an accredited futurist.Recently awarded the number one thought leader for the Future of Work in the Asia-Pacific by Onalytica, Ben has undertaken work and research around the world, including time spent leading critical projects at the World Economic Forum as well as being a Visiting Scholar at Yale University.In this incredibly interesting & eye opening yarn we discussed what the future of work, life & play could look like & how this effects all of us. Ben has chosen to exercise the more optimistic perspective towards all of the changes & events that determine our future, not because he is naive or ignorant but rather because it's a more refreshing way to step into the future.We discussed things like:Hybrid working modelsWhy AI will change 100% of jobs but only take 5% of themThe future of the homes we will live inAI sex robotsChanging relationship dynamicsSleep technology on long haul flights& much more.You can connect with us on socials @bradleyjdryburgh @thinkertank.labYou can also find Ben at his website https://benhamer.space/Be sure to subscribe to the poddy & share this episode with a mate that would love it, this really helps the show grow & reach new listeners.Big love,Brad xoxo. Hosted on Acast. See acast.com/privacy for more information.

My guest is Andrew Dix! Andrew is the CEO and Co-Founder of the Crowded Media Group, publisher of Crowdfund Insider, the leading news and information site for the global Fintech industry.  Crowdfund Insider was recognized by Onalytica as a Digital Transformation Top 100 Influencer under the publication category for 2018 Crowdfund Insider was founded in 2012, soon after the signing of the JOBS Act by President Obama. The digital publication has been a leading voice, and independent advocate, for the disruptive innovation of Fintech and access to capital for small and emerging companies. Articles published in Crowdfund Insider have been referenced in speeches and documents by public officials around the world.  The site has generated a consistent audience on Capitol Hill and other federal agencies. In 2015 Crowdfund Insider partnered with the Centre for Alternative Finance of Cambridge Judge Business School as the exclusive media partner for the European Alternative Finance Benchmarking Report. Andrew is a regular participant in the bipartisan Securities Regulation Working Group organized by the Heritage Foundation. Andrew speaks regularly at alternative finance events around the world. Social and Website: Linkedin: https://www.linkedin.com/in/andrew-dix-a00a409/ Website: www.crowdfundinsider.com www.fintechinsider.co www.disclosurequest.com www.crowdedmediagroup.com www.digitalassetsinsider.com Follow Digital Niche Agency on Socials for Up To Date Marketing Expertise and Insights: Facebook: https://www.facebook.com/digitalniche... Linkedin: https://www.linkedin.com/company/digi... Instagram: DNA - Digital Niche Agency @digitalnicheagency • Instagram photos and videos. Twitter: https://twitter.com/DNAgency_CA YouTube: https://www.youtube.com/channel/UCDlz…

Struggling to get influencer marketing working for your business? Businesses today face the complex challenge of effectively aligning their brands with influencers to truly connect with their audiences. Despite rising investments in influencer marketing, many companies struggle to ensure their collaborations are strategically sound and resonate authentically with their target demographics. Misalignment can lead to inauthentic content, wasted resources, and failed campaigns. Imagine launching a campaign that falls flat because the influencer's message doesn't resonate, or worse, is perceived as disingenuous. This not only damages the campaign but can also tarnish the brand's reputation. How do we find and select influencers, and get them aligned with our marketing strategies? That's what Ashley Zeckman is here to help us with. Ashley is a dynamic marketing leader and Co-CEO at Onalytica, a company renowned for its expertise in influencer marketing and audience intelligence. With years of experience in guiding brands through the complexities of influencer collaborations, Ashley has played a crucial role in developing strategies that align brand goals with audience expectations. Her work focuses on creating authentic, engaging, and effective marketing campaigns. Ashley is also an influential voice in the marketing community, regularly sharing her insights through articles and presentations. The MarTech Show hosts Robin Dimond and Mike Allton will talk to Ashley Zeckman about:

Our guest today is Tim Hughes, Co-Founder, and CEO of DLA Ignite. Tim helps organizations of all sizes figure out ways to create relationships and conversations that lead to sales.  Tim is universally recognized as the world leading pioneer and innovator of Social Selling. He is currently ranked Number 1 by Onalytica as the most influential social selling person in the world. In 2021, Linkedin said he was one of the top 8 sales experts globally to follow and Brand 24 announced recently he was the 16th most influential person in marketing globally, based on measured social media influence. He is also the co-author of the bestselling books “Social Selling - Techniques to Influence Buyers and Changemakers” and “Smarketing - How To Achieve Competitive Advantage through blended Sales and Marketing”. He has recently launched a second edition of “Social Selling - Techniques to Influence Buyers and Change Makers” which has been fully updated.  After listening to today's episode, check out the second edition of Tim's book, “Social Selling - Techniques to Influence Buyers and Change Makers”.   

Key Moments:Leveraging data for good (2:00) Every leader is responsible for data management (13:00) New metrics to validate AI's sustainability (21:00) Mitigating AI's risks to society (23:00) The current shape of global AI regulation (28:00) The importance of diversity in mitigating data bias (37:00) Key Quotes:“Every leader must understand that they have a responsibility for data management. It's an underlying skill that we really have to harness in all of our college, university, and high school programs. It's fundamental. We seem to teach people how to problem solve, but this is table stakes. In order to ever get AI right, we've got to solve the data challenges.”“There's no question on whether business value and how to measure AI's return on investment (ROI) is always top of mind in my discussions with executives. But what they really want to know is if their existing ROI methods are sufficient or not. What are the new metrics that they need to put in place to validate AI and its sustainability?”“We're not at the high-growth stage of AI innovation. We're in the early experimentation stage. We don't have international guardrails. All of these systems are going to take around 20-years to put in place. It takes six years to put a new university curriculum in place. People have to take responsibility to learn. This is a fundamental shift and it's one that's happening at break lightning speed.”Mentions:Mood InsightsGallup Research: 1 in 5 Employees Feel Lonely Worldwide KFF Loneliness and Support Networks Survey United States Artificial Intelligence Institute Dr. Cindy Gordon's AI Insights NewsletterHispanic Alliance for Career Enhancement and SalesChoice Whitepaper: Why Diversity Equity and Inclusion Leaders Must Lead in AIBio: Dr. Cindy Gordon ICD.D. is the CEO of SalesChoice, a SaaS AI company focused on Ending Growth Uncertainty for Human Advantage, and has been recognized by Onalytica as one of the top AI global influencers. Prior, she has held senior executive and partner roles at Accenture, Xerox, and Citicorp. She has also been a venture capitalist and angel advancing B2B technology software companies. Internationally, she is recognized for her innovative thought leadership with over 14 books in the market. Cindy is also a board advisor, thought leader in SaaS, AI and AI education, market research companies at: The AI Forum, Corent Technology, Forbes, Kaji.AI, USAII. Her AI community track record is extensive, University of Arizona – Business and Technology AI Board Advisor, Adjunct Professor, George Brown College, Applied AI. She regularly speaks at international conferences to advance AI Ethics and AI Education to board directors and C-suite executives. Academically, Dr. Gordon has an honorary Applied AI Doctorate Certification from George Brown College, an MIT AI Strategy Certification, and a doctorate in Complexity Science and Social Networks. She is also a certified Board Director with an ICD.D. designation. Under Dr. Gordon's leadership, the company has won over twenty international awards, most recently she was recognized as the CEO of the Year Award for Women in Digital Transformation. She has also received the Governor General Award for her Innovation and Community Leadership. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Welcome to IoT Coffee Talk #210 where we have a chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Rob, Debbie, David, Eric, Steve, Pete, Tom, Leonard, and Marc jump on Web3 to talk about:* BAD KARAOKE: "Seventeen", Winger* What is wrong with 80s rockers?* The best teeth in 80s metal!* Beavis & Butthead's 2024 comeback* Her is the Bladerunner of our time* Debbie joins IoT Coffee Talk as an AI Chatbot!!* Excuse me, are you human?* Microsoft Windows Recall - do you trust it?* The privacy and security last mindset * Industrial-grade AI mayhem* The Dark Web - The dirty laundry of digital marketing* Toxic search and the enablement of the surveillance economy* How to survive AGI disruption and demise* A dystopian view on the future of the web* Everyone needs an AI agent* Monetizing AI in the era of GenAIIt's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Tune in! Like! Share! Comment and share your thoughts on IoT Coffee Talk, the greatest weekly assembly of Onalytica and CBT tech and IoT influencers on the planet!!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. Your hosts include Leonard Lee, Stephanie Atkinson, Marc Pous, David Vasquez, Rob Tiffany, Bill Pugh, Rick Bullotta and special guests. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

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www.CPOPLAYBOOK.comEpisode TranscriptAboutTim Hughes, a pioneer in social selling, emphasizes the importance of leveraging social media for sales teams. He stresses the need for a buyer-centric approach on platforms like LinkedIn, where engaging content and genuine interactions are key.Hughes advises salespeople to invest time in building their online presence and network, offering practical strategies for creating compelling content and initiating meaningful conversations. By focusing on personal branding and providing valuable insights, sales professionals can effectively connect with potential clients and drive business growth.*Tim HughesTim Hughes is universally recognised as the world leading pioneer and innovator of Social Selling. He is currently ranked Number 1 by Onalytica as the most influential social selling person in the world. In 2021, Linkedin said he was one of the top 8 sales experts globally to follow and Brand 24 announced recently he was the 16th most influential person in marketing globally, based on measured social media influence.He is also Co-Founder and CEO of DLA Ignite and co-author of the bestselling books “Social Selling - Techniques to Influence Buyers and Changemakers - 2nd edition” and “Smarketing - How To Achieve Competitive Advantage through Blended Sales and Marketing”. He has recently launched a second edition of “social selling - techniques to influence buyers and change makers” which has been fully updated. All three books were published by Kogan Page.*All media inquiries: media@cpoplaybook.com

In this episode of the IoT For All Podcast, Robert Hamblet, CEO of Teal, and Rob Tiffany, Chief Product Officer at Red Bison, join Ryan Chacon to discuss cellular IoT adoption best practices from a buyer's perspective. Robert talks about eSIM technology and emphasizes that flexibility and preserving options are crucial for utilizing eSIM technology effectively. They also refer to the possibilities with iSIM and touch upon the importance of making informed decisions about choosing the right IoT components. The podcast provides an insightful conversation about eSIM, iSIM, and the future direction of cellular IoT solutions. Robert Hamblet is the Founder, CEO, & President of TEAL, a global networking company headquartered in Seattle, WA. Teal is the first US-based eSIM platform to be certified by the GSMA providing a cloud-native, Credentialing-as-a-Service platform that provides intelligent connectivity and networking solutions for IoT device and network operators. Prior to founding Teal, Robert developed some of the industry's earliest eSIM platforms for several multinational connected car manufacturers. A Top Voice in IoT, 5G, and Digital Twin AI, Rob Tiffany is the Founder and CEO at Digital Insights, an organization providing strategic advisory services on emerging technologies to leaders in industry and the military. Rob has held global leadership roles at Ericsson, Hitachi, and Microsoft. As Vice President and Head of IoT Strategy at Ericsson, he drove 5G connection management with the IoT Accelerator and participated in global M&A activities. As Chief Technology Officer at Hitachi, he received the Presidential “Product of the Year” award for designing the Lumada Industrial IoT platform which landed in Gartner's “Leaders” Magic Quadrant. Spending most of his career at Microsoft, Rob was Director and Global Technology Lead for the Azure IoT cloud platform. Prior to Microsoft, he co-founded NetPerceptor developing one of the industry's earliest Enterprise Mobility Management (EMM) platforms for smartphones. As an author and speaker, Rob is a frequently sought-after source globally. He's been featured in Wired, Forbes, Fierce Wireless, Inc. Magazine, Dataconomy, Thinkers360, Onalytica, Mobile World Live, Techonomy, and SXSW. TEAL's patented, GSMA-certified eSIM technology connects any compatible device to any data network worldwide. With more network operator agreements than any other connectivity provider, TEAL gives businesses everywhere the flexibility and control to remotely switch between networks, ensuring the highest level of reliability and performance for any internet of things (IoT) deployment. TEAL supports applications across many industries including mobility, robotics, drones, industrial IoT, railways, and healthcare. Discover more about cellular IoT at https://www.iotforall.com More about TEAL: https://tealcom.io More about Red Bison: https://www.redbison.com Connect with Robert: https://www.linkedin.com/in/robert-hamblet-970582a1/ Connect with Rob: https://www.linkedin.com/in/robtiffany/ (00:00) Intro (00:18) Guest introduction (00:50) Understanding cellular IoT solutions (02:07) Choosing the right connectivity (04:27) The role of developers in IoT solutions (05:05) The impact of network congestion (09:38) The evolution of cellular connectivity (15:20) The promise of eSIM and iSIM (20:00) Scaling cellular IoT solutions (36:34) The future of cellular IoT (42:31) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/2NlcEwm​ Join Our Newsletter: https://www.iotforall.com/iot-newsletter Follow Us on Social: https://linktr.ee/iot4all Check out the IoT For All Media Network: https://www.iotforall.com/podcast-overview

An exciting fireside chat with serial crypto entrepreneur Anton Golub, discussing the implications of the recent approval of Bitcoin Spot ETFs. We touch upon topics like the institutionalizing of Bitcoin, the role of Coinbase as the primary custodian, decentralization, liquidity concerns, and potential impact on the cryptomarket's infrastructure growth. We also share our 'outrageous predictions' for 2024. Anton Golub https://www.linkedin.com/in/antongolub/ is currently the founder & Chairman, SwissAssetDAO.Anton founded & served as CEO of Flovtec, a Swiss market-maker providing liquidity solutions to digital asset exchanges, token issuers & protocols and offering investment products for professional & institutional investors. He also co-founded Trust Square AG, a pre-eminent blockchain technology hub in Zurich's financial district. Anton Golub co-founded Lykke Corp, a blockchain-powered exchange to trade all assets with zero fees, where he served as a Chief Science Officer.Prior to Lykke, he worked as a quantitative researcher at Olsen Ltd (successor to Olsen & Associates, founded in 1985), a hedge fund that pioneered the field of high-frequency trading. As a Marie Curie Research Fellow at the Alliance Manchester Business School, Anton worked on high-frequency trading, market microstructure and flash crashes. In 2011, he was invited to participate in the Foresight Project - The Future of Computer Trading in Financial Markets, an international project on algorithmic trading funded by HM Treasury in the UK.Anton has also been involved in several research projects backed by the European Union (EU) and was on the Supervisory Board for the Big Data Finance project funded through Horizon 2020. He has co-authored 13 academic papers and two books. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica.A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

While the question of whether SuperApp models will make it in the US or not remains unanswered, South East Asia, South Asia, India, Africa are embracing Super App models. Some countries have more than one SuperApp. The discussion with Neha Mehta is on SuperApps. Super App models with Neha Mehta She has authored the newly released book 'ONE STOP', by Penguin Random House. Pre-order US https://buff.ly/3v1Jckf ; UK https://buff.ly/482JyWeNeha Mehta is a Lawyer and Sustainability expert focused on 'People', 'Planet' and 'Prosperity'. As a former international civil servant, Neha has been involved in international affairs, multilateral diplomacy, policymaking, and development efforts towards SDGs on a global scale. As the Founder of FemTech Partners, Neha's work is at the helm of technology and innovation to amplify women's voices and perspectives. Neha has worked with financial regulators to develop policies that address gender equality, financial inclusion, and climate change to build a more equitable and sustainable financial landscape. These policies contribute to positive social and environmental outcomes and create a more responsible and inclusive financial sector. Neha's portfolio of work includes FinTech, climateTech, inclusive finance, and sustainability. Neha is passionate about diversity, inclusion, and equity (DEI), and women in tech. She holds a Double degree in Law and Commerce and attended King's College, London on Chevening Fellowship. Neha has over 18 years' experience across Asia, Oceania and Europe. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica.A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter. Join her on the social platforms ?https://linktr.ee/Efiglobal See more podcasts here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

While the question of whether SuperApp models will make it in the US or not remains unanswered, South East Asia, South Asia, India, Africa are embracing Super App models. Some countries have more than one SuperApp. The discussion with Neha Mehta is on SuperApps. She has authored the newly released book `ONE STOP`, by Penguin Random House. Pre-order US https://buff.ly/3v1Jckf ; UK https://buff.ly/482JyWeNeha Mehta is a Lawyer and Sustainability expert focused on ‘People', ‘Planet' and ‘Prosperity'. As a former international civil servant, Neha has been involved in international affairs, multilateral diplomacy, policymaking, and development efforts towards SDGs on a global scale. As the Founder of FemTech Partners, Neha's work is at the helm of technology and innovation to amplify women's voices and perspectives. Neha has worked with financial regulators to develop policies that address gender equality, financial inclusion, and climate change to build a more equitable and sustainable financial landscape. These policies contribute to positive social and environmental outcomes and create a more responsible and inclusive financial sector. Neha's portfolio of work includes FinTech, climateTech, inclusive finance, and sustainability. Neha is passionate about diversity, inclusion, and equity (DEI), and women in tech. She holds a Double degree in Law and Commerce and attended King's College, London on Chevening Fellowship. Neha has over 18 years' experience across Asia, Oceania and Europe. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica.A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

In this interview we discuss the profound shifts in cybersecurity that go beyond financial consequences. Microsoft's Chief Security Advisor Saira Mohammed unpacks new cyber threats. She outlines cybersecurity best practices for the C-suite in this interconnected landscape. Mohammed also details Microsoft's new AI-powered Security Copilot solution for both improving cybersecurity and securing AI systems themselves. Additionally, she shares her passion for empowering diverse talent in cybersecurity through programs like Microsoft's Ready4Cybersecurity. Insights with Saira Mohammed Saira Mohammed sairamohammed22 is a Chief Security Advisory at Microsoft Modern Work and Security team. In this role, she serves as a trusted advisor to Business, IT, security, privacy, compliance, legal and risk management executives to help enable their digital transformation journey by aligning security strategies with Business operations. She regularly interacts with customers to help them integrate security with the business and IT processes to mitigate risk and protect customer and employee data. Prior to joining Microsoft, Saira served as an Information Security Executive (Deputy CISO) at State Farm Insurance and Financial Services. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica.A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter. Join her on the social platforms https://linktr.ee/Efiglobal Check out more podcasts by Irish Tech News here.

In this interview we discuss the profound shifts in cybersecurity that go beyond financial consequences. Microsoft's Chief Security Advisor Saira Mohammed unpacks new cyber threats. She outlines cybersecurity best practices for the C-suite in this interconnected landscape. Mohammed also details Microsoft's new AI-powered Security Copilot solution for both improving cybersecurity and securing AI systems themselves. Additionally, she shares her passion for empowering diverse talent in cybersecurity through programs like Microsoft's Ready4Cybersecurity. Saira Mohammed   / sairamohammed22   is a Chief Security Advisory at Microsoft Modern Work and Security team. In this role, she serves as a trusted advisor to Business, IT, security, privacy, compliance, legal and risk management executives to help enable their digital transformation journey by aligning security strategies with Business operations. She regularly interacts with customers to help them integrate security with the business and IT processes to mitigate risk and protect customer and employee data. Prior to joining Microsoft, Saira served as an Information Security Executive (Deputy CISO) at State Farm Insurance and Financial Services. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica.A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal Check out more podcasts by Irish Tech News here.

This episode is brought to you by Rupa University, AG1, and Pendulum. Dietary cholesterol from saturated fat is often thought to be the cause of high LDL cholesterol and blocked arteries. But we now know from updated research that it's much more complicated than that. Standard cholesterol testing is outdated because it doesn't check for particle size and particle number, information that is needed to tell what's really going on with your cholesterol. Statins are often prescribed to lower LDL cholesterol, but often do not address the root of the problem and can cause very uncomfortable side effects.In today's episode, I talk with Drs. Elizabeth Boham, Ronald Krauss, and Aseem Malhotra about the true role of cholesterol and what is really behind heart disease.Dr. Elizabeth Boham is a physician and nutritionist who practices Functional Medicine at The UltraWellness Center in Lenox, MA. Through her practice and lecturing she has helped thousands of people achieve their goals of optimum health and wellness. She witnesses the power of nutrition every day in her practice and is committed to training other physicians to utilize nutrition in healing.Dr. Ronald Krauss is a Senior Scientist at Children's Hospital Oakland Research Institute, a Professor of Medicine at UCSF, and an Adjunct Professor of Nutritional Sciences at UC Berkeley. Dr. Krauss's research aims to understand how to best prevent cardiovascular disease through early detection and management of its major risk factors: most notably, elevated levels of blood cholesterol and lipoproteins. He has published more than 450 research articles and reviews on metabolic, genetic, dietary, and drug effects on plasma lipoproteins and the risk of coronary artery disease, with more than 100,000 citations of this work.Dr. Aseem Malhotra is an NHS-trained consultant cardiologist and visiting Professor of Evidence-Based Medicine at the Bahiana School of Medicine and Public Health in Salvador, Brazil. He is a founding member of Action on Sugar. In 2015, he became the youngest member to be appointed to the board of trustees of UK health charity The King's Fund. He is a pioneer of the lifestyle medicine movement in the UK and in 2018 was ranked by software company Onalytica as the number one doctor in the world influencing obesity thinking.This episode is brought to you by Rupa University, AG1, and Pendulum.Rupa University is hosting FREE classes and bootcamps for healthcare providers who want to learn more about Functional Medicine testing. Sign up at RupaUniversity.com.Get your daily serving of vitamins, minerals, adaptogens, and more with AG1. Head to DrinkAG1.com/Hyman and get 10 FREE travel packs with your first order.Pendulum is offering listeners 20% off their first month's subscription of Akkermansia for gut health. Visit PendulumLife.com and use code HYMAN.Full-length episodes of these interviews can be found here:Dr. Elizabeth BohamDr. Ronald KraussDr. Aseem Malhotra Hosted on Acast. See acast.com/privacy for more information.

Welcome to IoT Coffee Talk #178 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.In this week's episode, Rob, Bill, Steve, Marc, and David jump on Web3 to talk about:* About the Las Vegas Sphere thing. It's really awesome but getting back to the strip is a nightmare.* F1 Las Vegas - a good thing or a raw deal?* Should you follow your passion or do you really suck at painting?* What happens when you mix football with Ex-Lax?* At some point there is a tie back to IoT, LOL!!!* IoT Coffee Talk literally devolves into Sports Center!* XaaS in IoT. Will it work? Who is it for? (Finally 22:20)* Let's talk business model and cost structures for XaaS for IoT!It's a great episode. Check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Great ready to get real!Tune in! Like! Share! Comment and share your thoughts on IoT Coffee Talk, the greatest weekly assembly of Onalytica and CBT tech and IoT influencers on the planet!!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. Your hosts include Leonard Lee, Stephanie Atkinson, Marc Pous, David Vasquez, Rob Tiffany, Bill Pugh, Rick Bullotta and special guests. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

An unconventional discussion on Digital Transformation, exchanging insights from various industries (from manufacturing to financial services), discussing KPIs (from business ones to personal ones), sustainability, and the mastery of challenges.  Mike Flache is an advisor and mentor, former entrepreneur and angel investor. Together with talented teams, he builds digital businesses worldwide. Onalytica's analysts named him one of the top-10 global thought leaders in digital transformation. Mike helps high-tech innovators in Silicon Valley, Europe, and Asia grow and scale. Together with the Fundment team, he is currently building one of the next billion-dollar companies in financial technology. Mike is also a partner of Fortune 500 companies and technology vendors. He has worked with executives from companies such as the Silicon Valley Innovation Center, Google, Amazon, Huawei, and Mercedes-Benz. LinkedIn: https://www.linkedin.com/in/mikeflache/ Twitter: https://twitter.com/mikeflache Personal website: https://www.mikeflache.com/ Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms ?https://linktr.ee/Efiglobal

What is the Elephant in the Room in Banking that comes to mind following the collapse of Silicon Valley Bank (SVB), Signature Bank, First Republic Bank, and recently the Citizens Bank (a small state-chartered Iowa bank)? The problem that bankers and regulators wish someone would solve is the topic of the discussion with serial entrepreneur Michal Cieplinski (founder and CEO of Capstack). Michal Cieplinski discusses Fintech Michal Cieplinski is a Silicon Valley veteran with over 24 years of operating and legal experience in financial technology and services. Before founding CapStack, first integrated operating system for banks, he co-founded Pipe, a unicorn and one of the fastest-growing fintech startups. Prior to Pipe, Michal was Senior Vice President at Lending Club, the largest publicly traded fintech lender responsible for operational and legal matters. Prior to that, he co-founded Fundbox, a unicorn B2B fintech lender. He was also Managing Director and SeniorCounsel at The Bank of New York Mellon responsible for wealth management and investment management units. Michal has been recognized by GC Magazine/Legal500 on the GC Powerlist 2019 as one of the top general counsels in the United States in both the finance and technology sectors. He combines left-brain and right-brain thinking with an MFA in Photography, deep expertise in banking and capital markets, and as a graduate of the George Washington University Law School. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter. Join her on the social platforms ?https://linktr.ee/Efiglobal See more podcasts here.

Stablecoins are enabling stability & financial inclusion#stablecoins #fintech #payments #tokenization #financialincusionDescription: A great panel discussion on the current use cases for stablecoins, from the recent CV Summit in Zug. You will hear from Maike Hornung, Head of Crypto VISA in Europe,  Patrick Hansen, Director EU Strategy & Policy at Circle, Jan-Oliver Sell MD at Coinbase Germany, and Dr. Mattia L. Rattaggi, Senior Advisor at Edelcoin.  Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

Kai Hackbarth, currently the Senior Technology Evangelist at Bosch Global Software Technologies, brings over 21 years of experience in IoT middleware and device management across various sectors, including Smart Home, Industrial IoT, and Automotive. He has also held leadership roles at OSGi Alliance and the Industrial Internet Consortium. In recognition of his influence and expertise, Kai was named among the "Top 100 IIoT Influencers" by Onalytica in 2020. The discussion delved into key themes, such as the evolution of IoT, the growing role of cloud and edge computing, and the importance of open environments. Real-time analytics emerged as a pivotal topic, along with challenges in SaaS and PaaS integration. Moreover, Kai shed light on the fascinating potential of IoT in enhancing the quality of life for the elderly. This episode is a must-listen for anyone interested in the future of IoT. On The Menu: 1. Evolution of the IoT landscape 2. IoT middleware for embedded devices 3. Growing importance of cloud and edge computing 4. Collaboration and open environments in IoT 5. The significance of real-time analytics 6. Challenges in SaaS and PaaS integration 7. Enhancing elderly quality of life with IoT

Tim Hughes is universally recognized as the world's leading pioneer and innovator of Social Selling.  He is currently ranked Number 1 by Onalytica as the world's most influential social selling person. In 2021, LinkedIn said he was one of the top 8 sales experts globally to follow. Brand 24 recently announced he was the 16th most influential person in marketing globally, based on measured social media influence. He is also Co-Founder and CEO of DLA Ignite and co-author of the bestselling books “Social Selling - Techniques to Influence Buyers and Changemakers - 2nd Edition” and “Smarketing - How To Achieve Competitive Advantage through Blended Sales and Marketing”.  He has recently launched a second edition of “social selling - techniques to Influence Buyers and Change Makers” which has been fully updated—all three books published by Kogan Page. Company Website: DLAIgnite.com Linkedin: https://www.linkedin.com/in/timothyhughessocialselling/ Twitter: https://twitter.com/Timothy_Hughes YouTube: http://www.youtube.com/c/TimothyHughes1  Facebook: https://www.facebook.com/TimHughesSocialSelling/ Instagram: https://www.instagram.com/tim_hughes1/ Clubhouse: @timothy_hughes  Tik Tok https://www.tiktok.com/@timothy_hughes Don't forget to register for my final FREE LinkedIn Workshop of the year here: https://networkacademy.kartra.com/page/linkedincontentthatsells

In a world of interruption-based sales techniques, one man dared to defy the norm and discover the true power of social selling. Timothy Hughes, a seasoned sales professional, embarked on a journey that would forever change the way direct sales professionals approach their craft. His story is one of determination, passion, and an unexpected twist that nobody saw coming. Brace yourself for a tale of transformation and revelation that will leave you eager to uncover the secrets behind Timothy's groundbreaking social selling strategies.About Timothy Hughes:Tim Hughes is universally recognized as the world's leading pioneer and innovator of Social Selling. He is currently ranked Number 1 by Onalytica as the most influential social selling person in the world. In 2021, LinkedIn said he was one of the top 8 sales experts globally to follow, and Brand 24 announced recently he was the 16th most influential person in marketing globally, based on measured social media influence.He is also Co-Founder and CEO of DLA Ignite and co-author of the bestselling books “Social Selling - Techniques to Influence Buyers and Changemakers” and “Smarketing - How To Achieve Competitive Advantage through Blended Sales and Marketing”. He has recently launched a second edition of “Social Selling - Techniques to Influence Buyers and Change Makers” which has been fully updated. All three books were published by Kogan Page.In this episode, Jennie and Timothy discuss:Personalized Connection Requests in Social SellingBeing intentional with your connection requests, highlighting mutual interests or the value you offer, is key to creating genuine relationships and significantly increases the likelihood of obtaining a positive response. Leveraging Social Media for SalesSocial media yields a powerful platform, allowing sales professionals to enhance visibility and credibility, without interrupting or hard-selling. Discovering Social Selling StrategiesTimothy Hughes employs a unique approach that involves treating social media as a platform to inspire conversations and offer valuable content, rather than just a vessel for promoting products or services. In this episode, you will be able to:Build strong relationships and establish trust with your prospects through strategic social selling strategies.Leverage the power of social media to enhance your direct sales, network marketing, and MLM business and drive more sales.Personalized connection requests are crucial for successful social selling - discover why and how to master this art.Create valuable and insightful content that will captivate your audience and help you achieve effective social selling.Learn how to leverage the information obtained through social selling to make meaningful connections and close more deals."In a digital world where everyone is online, being invisible is not an option. Posting on social media daily allows you to be seen, heard, and invited in by potential clients.” – Timothy HughesCONNECT WITH TIMOTHY:Company Website: https://dlaignite.com/Linkedin: https://www.linkedin.com/in/timothyhughessocialselling/Twitter: https://twitter.com/Timothy_HughesYouTube: http://www.youtube.com/c/TimothyHughes1Facebook: https://www.facebook.com/TimHughesSocialSelling/Instagram: https://www.instagram.com/tim_hughes1/Clubhouse: @timothy_hughesTik Tok https://www.tiktok.com/@timothy_hughesFacebook Business Page: https://www.facebook.com/dlaignite/Instagram Business Handle: https://www.instagram.com/dlaignite/CONNECT WITH JENNIE:Website: https://badassdirectsalesmastery.com/Email:  jennie@badassdirectsalesmastery.comFacebook personal page: https://facebook.com/jbellingerPLFacebook podcast page: http://facebook.com/BadassDirectSalesMasteryFacebook group for Badass Crew: https://facebook.com/groups/BadassDirectSalesMomsInstagram: https://instagram.com/BadassDirectSalesMasteryPersonal Instagram: https://instagram.com/jenniebellingerLinkedIn: https://linkedin.com/in/BadassDirectSalesMastery Show Notes by Podcastologist: Hanz Jimuel AlvarezAudio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

A discussion with the founder of the Brazil Crypto Report newsletter on the use cases of cryptocurrencies in Brazil and other Latin American countries; The unique aspects of the rich Brazilian crypto ecosystem; The significant role of Stablecoin adoption, from USDT (pegged to the USD) to Brazilian Real pegged Stablecoins. His excitement about DREX, the wholesale pilot of the Brazilian Central Bank and the interest in the tokenization of real-world assets (RWAs) supported by a CBsandbox. Aaron Stanley https://www.linkedin.com/in/aaronstan... oversees partnerships and events initiatives for the Filecoin Foundation, with an emphasis on growing the Filecoin ecosystem https://filecoin.io/ and advancing decentralized web narratives. He is also the founder and CEO of Brazil Crypto Report, https://brazilcrypto.substack.com/p/i... focused on the Brazil and Latam ecosystems (in English). He previously oversaw content and programming for CoinDesk's Consensus conference, the "big tent" global gathering of the cryptocurrency and blockchain ecosystem each year. His focus is driving industry-advancing narratives through events and editorial content, as well as incorporating Web 3.0 technology into the media and event experience. He previously covered the blockchain and cryptocurrency industry as a reporter for CoinDesk and Forbes.com, and before that spent four years in the Financial Times' Washington Bureau covering U.S. business and politics and building out interactive and multimedia products. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

Matthew Sekol is the Global ESG and Sustainability Advisor at Microsoft. Matthew has over 20 years of experience in storytelling, pioneering disruptive strategies, and influencing transformation by unpacking and clarifying organizational risks and opportunities to senior stakeholders. In addition to serving as an advisor at Microsoft, Matthew is an ESG speaker and writer who has co-authored whitepapers on ESG data rating agencies and data aggregation as well as financial services and biodiversity. He is also the creator of The ESG Advocate newsletter. In recognition of Matthew's work, Onalytica has included him among their Who's Who in ESG in 2023. Matthew holds a Bachelor's degree in English from Penn State University. Matthew joins us today to discuss Microsoft's deep commitment to Environmental, Social, and Governance principles and sustainability. He details the company's strategies for reducing carbon emissions and achieving a net-zero water footprint and highlights how Microsoft's technology—such as real-time transcription and translation—makes digital content accessible to diverse communities. Matthew also explains how Microsoft ensures Diversity, Equity, and Inclusion within its workforce and supplier ecosystem and offers advice on how small companies can build durable ESG programs in their operations and collaborations “I hope that, like Microsoft, more bigger companies will do engagement over divestment; that means putting together things like training programs and transparency to enable our suppliers to meet goals.” – Matthew Sekol This week on Breaking Barriers: Matthew's background and his journey toward ESG Microsoft's long-term and short-term sustainability goals The vital role technology plays in addressing environmental challenges The role of leadership and culture in driving ESG efforts in organizations like Microsoft The three buckets of sustainability and how ESG efforts benefit Microsoft's business How Microsoft added accessibility features to Office How Microsoft embeds Diversity, Equity, and Inclusion into performance reviews and how the company supports diverse entrepreneurs What it means to be water positive and how Microsoft invests in water replenishment projects Microsoft's initiatives to engage and help small and diverse businesses How start-ups and smaller organizations can integrate ESG into their operations or collaborations with other companies Resources Mentioned: Water.org Connect with Matthew Sekol: The ESG Advocate Microsoft Microsoft on LinkedIn Matthew Sekol on LinkedIn   This podcast is brought to you by Hire Ground Hire Ground is a technology company whose mission is to bridge the wealth gap through access to procurement opportunities. Hire Ground is making the enterprise ecosystem more viable, profitable, and competitive by clearing the path for minority-led, women-led, LGBT-led, and veteran-led small businesses to contribute to the global economy as suppliers to enterprise organizations. For more information on getting started please visit us @ hireground.io today! If you enjoyed this episode, please subscribe and leave a review wherever you get your podcasts. Apple Podcasts | TuneIn | GooglePlay | Stitcher | Spotify Be sure to share your favorite episodes on social media and join us on Facebook, Twitter, and LinkedIn.

Today Kevin and Laura talk to William McKnight about big data in healthcare, the pros and cons of companies knowing this much about us, being a corporate influencer and much more! William McKnight is an information management thought-leader who has been recognized as the #1 global influencer in big data, cloud, and data center by Thinkers 360, and the #1 global influencer in master data management by Onalytica in 2022.He is the Founder and President of McKnight Consulting Group, which advises many of the Global 2000 companies, including Pfizer, Verizon, UnitedHealth Group, Dell, Oracle, and Scotiabank, on ways to faster grow their businesses with big data.With over 30 years of experience, William is also a highly sought-after speaker who has spoken on four continents for a diverse collection of organizations, including IBM, Microsoft, Oracle, Bank of America, Orange South Africa, and SAP.  He also is a former award-winning IT Vice President of a Fortune 50 company, a former engineer of DB2 at IBM, and an author of the books, "Integrating Hadoop", "Information Management: Strategies for Gaining a Competitive Advantage with Data", and "90 Days to Success in Consulting".

ChatGPT and other generative AI tools have caused a sensation in the marketplace. Some are heralding AI as the best innovation to come along since the internet, while others are fearful of its unforeseen, large-scale impact. For the E&C practitioner, what are the major risks and mitigation strategies that need to be in place? On this episode of LRN's Principled Podcast, host Susan Divers explores the current and evolving risk landscape surrounding ChatGPT and generative AI with Jonathan Armstrong, a partner at the legal compliance firm Cordery.  For a full transcript of this podcast, visit the episode page at LRN.com.   Guest: Jonathan Armstrong Jonathan Armstrong is an experienced lawyer based in London with a concentration on compliance and technology. His practice includes advising multinational companies and their counsel on risk and compliance across Europe. Cordery gives legal and compliance advice to household name corporations on prevention, training, and cure—including internal investigations and dealing with regulatory authorities. Jonathan has handled legal matters in more than 60 countries involving cybersecurity and ransomware, investigations of various shapes and sizes, bribery and corruption, corporate governance, ethics code implementation, reputation, supply chain, ESG, and global privacy policies. Jonathan has been particularly active in advising multi-national corporations on their response to the UK Bribery Act 2010 and its inter-relationship with the US Foreign Corrupt Practices Act (FCPA).   Jonathan qualified as a lawyer in the UK in 1991 and has focused on technology and risk and governance matters for more than 20 years. He is regarded as a leading expert in compliance matters. Jonathan has been selected as one of the Thomson Reuters stand-out lawyers for 2023 —an honor bestowed on him every year since the survey began. In April 2017, Thomson Reuters listed Jonathan as the 6th most influential figure in risk, compliance and fintech in the UK. In 2016 Jonathan was ranked as the 14th most influential figure in data security worldwide by Onalytica.  In 2019 Jonathan was the recipient of a Security Serious Unsung Heroes Award for his work in Information Security. Jonathan is listed as a Super Lawyer and has been listed in Legal Experts from 2002 to date.    In July 2023 Jonathan was appointed to the New York State Bar Association Presidential Task Force on Artificial Intelligence. Jonathan sits on the Task Force with leading practitioners, regulators, judges and academics to develop frameworks for the use and control of AI in the legal system.  Guest: Susan Divers Susan Divers is a senior advisor with LRN Corporation. In that capacity, Ms. Divers brings her 30+ years' accomplishments and experience in the ethics and compliance area to LRN partners and colleagues. This expertise includes building state-of-the-art compliance programs infused with values, designing user-friendly means of engaging and informing employees, fostering an embedded culture of compliance and substantial subject matter expertise in anti-corruption, export controls, sanctions, and other key areas of compliance. Prior to joining LRN, Mrs. Divers served as AECOM's Assistant General for Global Ethics & Compliance and Chief Ethics & Compliance Officer. Under her leadership, AECOM's ethics and compliance program garnered six external awards in recognition of its effectiveness and Mrs. Divers' thought leadership in the ethics field. In 2011, Mrs. Divers received the AECOM CEO Award of Excellence, which recognized her work in advancing the company's ethics and compliance program. Mrs. Divers' background includes more than thirty years' experience practicing law in these areas. Before joining AECOM, she worked at SAIC and Lockheed Martin in the international compliance area. Prior to that, she was a partner with the DC office of Sonnenschein, Nath & Rosenthal. She also spent four years in London and is qualified as a Solicitor to the High Court of England and Wales, practicing in the international arena with the law firms of Theodore Goddard & Co. and Herbert Smith & Co. She also served as an attorney in the Office of the Legal Advisor at the Department of State and was a member of the U.S. delegation to the UN working on the first anti-corruption multilateral treaty initiative. Mrs. Divers is a member of the DC Bar and a graduate of Trinity College, Washington D.C. and of the National Law Center of George Washington University. In 2011, 2012, 2013 and 2014 Ethisphere Magazine listed her as one the “Attorneys Who Matter” in the ethics & compliance area. She is a member of the Advisory Boards of the Rutgers University Center for Ethical Behavior and served as a member of the Board of Directors for the Institute for Practical Training from 2005-2008.

Tony Baer, Principal at dbInsight, joins Corey on Screaming in the Cloud to discuss his definition of what is and isn't a database, and the trends he's seeing in the industry. Tony explains why it's important to try and have an outsider's perspective when evaluating new ideas, and the growing awareness of the impact data has on our daily lives. Corey and Tony discuss the importance of working towards true operational simplicity in the cloud, and Tony also shares why explainability in generative AI is so crucial as the technology advances. About TonyTony Baer, the founder and CEO of dbInsight, is a recognized industry expert in extending data management practices, governance, and advanced analytics to address the desire of enterprises to generate meaningful value from data-driven transformation. His combined expertise in both legacy database technologies and emerging cloud and analytics technologies shapes how clients go to market in an industry undergoing significant transformation. During his 10 years as a principal analyst at Ovum, he established successful research practices in the firm's fastest growing categories, including big data, cloud data management, and product lifecycle management. He advised Ovum clients regarding product roadmap, positioning, and messaging and helped them understand how to evolve data management and analytic strategies as the cloud, big data, and AI moved the goal posts. Baer was one of Ovum's most heavily-billed analysts and provided strategic counsel to enterprises spanning the Fortune 100 to fast-growing privately held companies.With the cloud transforming the competitive landscape for database and analytics providers, Baer led deep dive research on the data platform portfolios of AWS, Microsoft Azure, and Google Cloud, and on how cloud transformation changed the roadmaps for incumbents such as Oracle, IBM, SAP, and Teradata. While at Ovum, he originated the term “Fast Data” which has since become synonymous with real-time streaming analytics.Baer's thought leadership and broad market influence in big data and analytics has been formally recognized on numerous occasions. Analytics Insight named him one of the 2019 Top 100 Artificial Intelligence and Big Data Influencers. Previous citations include Onalytica, which named Baer as one of the world's Top 20 thought leaders and influencers on Data Science; Analytics Week, which named him as one of 200 top thought leaders in Big Data and Analytics; and by KDnuggets, which listed Baer as one of the Top 12 top data analytics thought leaders on Twitter. While at Ovum, Baer was Ovum's IT's most visible and publicly quoted analyst, and was cited by Ovum's parent company Informa as Brand Ambassador in 2017. In raw numbers, Baer has 14,000 followers on Twitter, and his ZDnet “Big on Data” posts are read 20,000 – 30,000 times monthly. He is also a frequent speaker at industry conferences such as Strata Data and Spark Summit.Links Referenced:dbInsight: https://dbinsight.io/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is brought to us in part by our friends at RedHat.As your organization grows, so does the complexity of your IT resources. You need a flexible solution that lets you deploy, manage, and scale workloads throughout your entire ecosystem. The Red Hat Ansible Automation Platform simplifies the management of applications and services across your hybrid infrastructure with one platform. Look for it on the AWS Marketplace.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Back in my early formative years, I was an SRE sysadmin type, and one of the areas I always avoided was databases, or frankly, anything stateful because I am clumsy and unlucky and that's a bad combination to bring within spitting distance of anything that, you know, can't be spun back up intact, like databases. So, as a result, I tend not to spend a lot of time historically living in that world. It's time to expand horizons and think about this a little bit differently. My guest today is Tony Baer, principal at dbInsight. Tony, thank you for joining me.Tony: Oh, Corey, thanks for having me. And by the way, we'll try and basically knock down your primal fear of databases today. That's my mission.Corey: We're going to instill new fears in you. Because I was looking through a lot of your work over the years, and the criticism I have—and always the best place to deliver criticism is massively in public—is that you take a very conservative, stodgy approach to defining a database, whereas I'm on the opposite side of the world. I contain information. You can ask me about it, which we'll call querying. That's right. I'm a database.But I've never yet found myself listed in any of your analyses around various database options. So, what is your definition of databases these days? Where do they start and stop? Tony: Oh, gosh.Corey: Because anything can be a database if you hold it wrong.Tony: [laugh]. I think one of the last things I've ever been called as conservative and stodgy, so this is certainly a way to basically put the thumbtack on my share.Corey: Exactly. I'm trying to normalize my own brand of lunacy, so we'll see how it goes.Tony: Exactly because that's the role I normally play with my clients. So, now the shoe is on the other foot. What I view a database is, is basically a managed collection of data, and it's managed to the point where essentially, a database should be transactional—in other words, when I basically put some data in, I should have some positive information, I should hopefully, depending on the type of database, have some sort of guidelines or schema or model for how I structure the data. So, I mean, database, you know, even though you keep hearing about unstructured data, the fact is—Corey: Schemaless databases and data stores. Yeah, it was all the rage for a few years.Tony: Yeah, except that they all have schemas, just that those schemaless databases just have very variable schema. They're still schema.Corey: A question that I have is you obviously think deeply about these things, which should not come as a surprise to anyone. It's like, “Well, this is where I spend my entire career. Imagine that. I might think about the problem space a little bit.” But you have, to my understanding, never worked with databases in anger yourself. You don't have a history as a DBA or as an engineer—Tony: No.Corey: —but what I find very odd is that unlike a whole bunch of other analysts that I'm not going to name, but people know who I'm talking about regardless, you bring actual insights into this that I find useful and compelling, instead of reverting to the mean of well, I don't actually understand how any of these things work in reality, so I'm just going to believe whoever sounds the most confident when I ask a bunch of people about these things. Are you just asking the right people who also happen to sound confident? But how do you get away from that very common analyst trap?Tony: Well, a couple of things. One is I purposely play the role of outside observer. In other words, like, the idea is that if basically an idea is supposed to stand on its own legs, it has to make sense. If I've been working inside the industry, I might take too many things for granted. And a good example of this goes back, actually, to my early days—actually this goes back to my freshman year in college where I was taking an organic chem course for non-majors, and it was taught as a logic course not as a memorization course.And we were given the option at the end of the term to either, basically, take a final or  do a paper. So, of course, me being a writer I thought, I can BS my way through this. But what I found—and this is what fascinated me—is that as long as certain technical terms were defined for me, I found a logic to the way things work. And so, that really informs how I approach databases, how I approach technology today is I look at the logic  on how things work. That being said, in order for me to understand that, I need to know twice as much as the next guy in order to be able to speak that because I just don't do this in my sleep.Corey: That goes a big step toward, I guess, addressing a lot of these things, but it also feels like—and maybe this is just me paying closer attention—that the world of databases and data and analytics have really coalesced or emerged in a very different way over the past decade-ish. It used to be, at least from my perspective, that oh, that the actual, all the data we store, that's a storage admin problem. And that was about managing NetApps and SANs and the rest. And then you had the database side of it, which functionally from the storage side of the world was just a big file or series of files that are the backing store for the database. And okay, there's not a lot of cross-communication going on there.Then with the rise of object store, it started being a little bit different. And even the way that everyone is talking about getting meaning from data has really seem to be evolving at an incredibly intense clip lately. Is that an accurate perception, or have I just been asleep at the wheel for a while and finally woke up?Tony: No, I think you're onto something there. And the reason is that, one, data is touching us all around ourselves, and the fact is, I mean, I'm you can see it in the same way that all of a sudden that people know how to spell AI. They may not know what it means, but the thing is, there is an awareness the data that we work with, the data that is about us, it follows us, and with the cloud, this data has—well, I should say not just with the cloud but with smart mobile devices—we'll blame that—we are all each founts of data, and rich founts of data. And people in all walks of life, not just in the industry, are now becoming aware of it and there's a lot of concern about can we have any control, any ownership over the data that should be ours? So, I think that phenomenon has also happened in the enterprise, where essentially where we used to think that the data was the DBAs' issue, it's become the app developers' issue, it's become the business analysts' issue. Because the answers that we get, we're ultimately accountable for. It all comes from the data.Corey: It also feels like there's this idea of databases themselves becoming more contextually aware of the data contained within them. Originally, this used to be in the realm of, “Oh, we know what's been accessed recently and we can tier out where it lives for storage optimization purposes.” Okay, great, but what I'm seeing now almost seems to be a sense of, people like to talk about pouring ML into their database offerings. And I'm not able to tell whether that is something that adds actual value, or if it's marketing-ware.Tony: Okay. First off, let me kind of spill a couple of things. First of all, it's not a question of the database becoming aware. A database is not sentient.Corey: Niether are some engineers, but that's neither here nor there.Tony: That would be true, but then again, I don't want anyone with shotguns lining up at my door after this—Corey: [laugh].Tony: —after this interview is published. But [laugh] more of the point, though, is that I can see a couple roles for machine learning in databases. One is a database itself, the logs, are an incredible font of data, of operational data. And you can look at trends in terms of when this—when the pattern of these logs goes this way, that is likely to happen. So, the thing is that I could very easily say we're already seeing it: machine learning being used to help optimize the operation of databases, if you're Oracle, and say, “Hey, we can have a database that runs itself.”The other side of the coin is being able to run your own machine-learning models in database as opposed to having to go out into a separate cluster and move the data, and that's becoming more and more of a checkbox feature. However, that's going to be for essentially, probably, like, the low-hanging fruit, like the 80/20 rule. It'll be like the 20% of an ana—of relatively rudimentary, you know, let's say, predictive analyses that we can do inside the database. If you're going to be doing something more ambitious, such as a, you know, a large language model, you probably do not want to run that in database itself. So, there's a difference there.Corey: One would hope. I mean, one of the inappropriate uses of technology that I go for all the time is finding ways to—as directed or otherwise—in off-label uses find ways of tricking different services into running containers for me. It's kind of a problem; this is probably why everyone is very grateful I no longer write production code for anyone.But it does seem that there's been an awful lot of noise lately. I'm lazy. I take shortcuts very often, and one of those is that whenever AWS talks about something extensively through multiple marketing cycles, it becomes usually a pretty good indicator that they're on their back foot on that area. And for a long time, they were doing that about data and how it's very important to gather data, it unlocks the key to your business, but it always felt a little hollow-slash-hypocritical to me because you're going to some of the same events that I have that AWS throws on. You notice how you have to fill out the exact same form with a whole bunch of mandatory fields every single time, but there never seems to be anything that gets spat back out to you that demonstrates that any human or system has ever read—Tony: Right.Corey: Any of that? It's basically a, “Do what we say, not what we do,” style of story. And I always found that to be a little bit disingenuous.Tony: I don't want to just harp on AWS here. Of course, we can always talk about the two-pizza box rule and the fact that you have lots of small teams there, but I'd rather generalize this. And I think you really—what you're just describing is been my trip through the healthcare system. I had some sports-related injuries this summer, so I've been through a couple of surgeries to repair sports injuries. And it's amazing that every time you go to the doctor's office, you're filling the same HIPAA information over and over again, even with healthcare systems that use the same electronic health records software. So, it's more a function of that it's not just that the technologies are siloed, it's that the organizations are siloed. That's what you're saying.Corey: That is fair. And I think at some level—I don't know if this is a weird extension of Conway's Law or whatnot—but these things all have different backing stores as far as data goes. And there's a—the hard part, it seems, in a lot of companies once they hit a certain point of maturity is not just getting the data in—because they've already done that to some extent—but it's also then making it actionable and helping various data stores internal to the company reconcile with one another and start surfacing things that are useful. It increasingly feels like it's less of a technology problem and more of a people problem.Tony: It is. I mean, put it this way, I spent a lot of time last year, I burned a lot of brain cells working on data fabrics, which is an idea that's in the idea of the beholder. But the ideal of a data fabric is that it's not the tool that necessarily governs your data or secures your data or moves your data or transforms your data, but it's supposed to be the master orchestrator that brings all that stuff together. And maybe sometime 50 years in the future, we might see that.I think the problem here is both technical and organizational. [unintelligible 00:11:58] a promise, you have all these what we used call island silos. We still call them silos or islands of information. And actually, ironically, even though in the cloud we have technologies where we can integrate this, the cloud has actually exacerbated this issue because there's so many islands of information, you know, coming up, and there's so many different little parts of the organization that have their hands on that. That's also a large part of why there's such a big discussion about, for instance, data mesh last year: everybody is concerned about owning their own little piece of the pie, and there's a lot of question in terms of how do we get some consistency there? How do we all read from the same sheet of music? That's going to be an ongoing problem. You and I are going to get very old before that ever gets solved.Corey: Yeah, there are certain things that I am content to die knowing that they will not get solved. If they ever get solved, I will not live to see it, and there's a certain comfort in that, on some level.Tony: Yeah.Corey: But it feels like this stuff is also getting more and more complicated than it used to be, and terms aren't being used in quite the same way as they once were. Something that a number of companies have been saying for a while now has been that customers overwhelmingly are preferring open-source. Open source is important to them when it comes to their database selection. And I feel like that's a conflation of a couple of things. I've never yet found an ideological, purity-driven customer decision around that sort of thing.What they care about is, are there multiple vendors who can provide this thing so I'm not going to be using a commercially licensed database that can arbitrarily start playing games with seat licenses and wind up distorting my cost structure massively with very little notice. Does that align with your—Tony: Yeah.Corey: Understanding of what people are talking about when they say that, or am I missing something fundamental? Which is again, always possible?Tony: No, I think you're onto something there. Open-source is a whole other can of worms, and I've burned many, many brain cells over this one as well. And today, you're seeing a lot of pieces about the, you know, the—that are basically giving eulogies for open-source. It's—you know, like HashiCorp just finally changed its license and a bunch of others have in the database world. What open-source has meant is been—and I think for practitioners, for DBAs and developers—here's a platform that's been implemented by many different vendors, which means my skills are portable.And so, I think that's really been the key to why, for instance, like, you know, MySQL and especially PostgreSQL have really exploded, you know, in popularity. Especially Postgres, you know, of late. And it's like, you look at Postgres, it's a very unglamorous database. If you're talking about stodgy, it was born to be stodgy because they wanted to be an adult database from the start. They weren't the LAMP stack like MySQL.And the secret of success with Postgres was that it had a very permissive open-source license, which meant that as long as you don't hold University of California at Berkeley, liable, have at it, kids. And so, you see, like, a lot of different flavors of Postgres out there, which means that a lot of customers are attracted to that because if I get up to speed on this Postgres—on one Postgres database, my skills should be transferable, should be portable to another. So, I think that's a lot of what's happening there.Corey: Well, I do want to call that out in particular because when I was coming up in the naughts, the mid-2000s decade, the lingua franca on everything I used was MySQL, or as I insist on mispronouncing it, my-squeal. And lately, on same vein, Postgres-squeal seems to have taken over the entire universe, when it comes to the de facto database of choice. And I'm old and grumpy and learning new things as always challenging, so I don't understand a lot of the ways that thing gets managed from the context coming from where I did before, but what has driven the massive growth of mindshare among the Postgres-squeal set?Tony: Well, I think it's a matter of it's 30 years old and it's—number one, Postgres always positioned itself as an Oracle alternative. And the early years, you know, this is a new database, how are you going to be able to match, at that point, Oracle had about a 15-year headstart on it. And so, it was a gradual climb to respectability. And I have huge respect for Oracle, don't get me wrong on that, but you take a look at Postgres today and they have basically filled in a lot of the blanks.And so, it now is a very cre—in many cases, it's a credible alternative to Oracle. Can it do all the things Oracle can do? No. But for a lot of organizations, it's the 80/20 rule. And so, I think it's more just a matter of, like, Postgres coming of age. And the fact is, as a result of it coming of age, there's a huge marketplace out there and so much choice, and so much opportunity for skills portability. So, it's really one of those things where its time has come.Corey: I think that a lot of my own biases are simply a product of the era in which I learned how a lot of these things work on. I am terrible at Node, for example, but I would be hard-pressed not to suggest JavaScript as the default language that people should pick up if they're just entering tech today. It does front-end, it does back-end—Tony: Sure.Corey: —it even makes fries, apparently. There's a—that is the lingua franca of the modern internet in a bunch of different ways. That doesn't mean I'm any good at it, and it doesn't mean at this stage, I'm likely to improve massively at it, but it is the right move, even if it is inconvenient for me personally.Tony: Right. Right. Put it this way, we've seen—and as I said, I'm not an expert in programming languages, but we've seen a huge profusion of programming languages and frameworks. But the fact is that there's always been a draw towards critical mass. At the turn of the millennium, we thought is between Java and .NET. Little did we know that basically JavaScript—which at that point was just a web scripting language—[laugh] we didn't know that it could work on the server; we thought it was just a client. Who knew?Corey: That's like using something inappropriately as a database. I mean, good heavens.Tony: [laugh]. That would be true. I mean, when I could have, you know, easily just use a spreadsheet or something like that. But so, I mean, who knew? I mean, just like for instance, Java itself was originally conceived for a set-top box. You never know how this stuff is going to turn out. It's the same thing happen with Python. Python was also a web scripting language. Oh, by the way, it happens to be really powerful and flexible for data science. And whoa, you know, now Python is—in terms of data science languages—has become the new SaaS.Corey: It really took over in a bunch of different ways. Before that, Perl was great, and I go, “Why would I use—why write in Python when Perl is available?” It's like, “Okay, you know, how to write Perl, right?” “Yeah.” “Have you ever read anything a month later?” “Oh…” it's very much a write-only language. It is inscrutable after the fact. And Python at least makes that a lot more approachable, which is never a bad thing.Tony: Yeah.Corey: Speaking of what you touched on toward the beginning of this episode, the idea of databases not being sentient, which I equate to being self-aware, you just came out very recently with a report on generative AI and a trip that you wound up taking on this. Which I've read; I love it. In fact, we've both been independently using the phrase [unintelligible 00:19:09] to, “English is the new most common programming language once a lot of this stuff takes off.” But what have you seen? What have you witnessed as far as both the ground truth reality as well as the grandiose statements that companies are making as they trip over themselves trying to position as the forefront leader and all of this thing that didn't really exist five months ago?Tony: Well, what's funny is—and that's a perfect question because if on January 1st you asked “what's going to happen this year?” I don't think any of us would have thought about generative AI or large language models. And I will not identify the vendors, but I did some that had— was on some advanced briefing calls back around the January, February timeframe. They were talking about things like server lists, they were talking about in database machine learning and so on and so forth. They weren't saying anything about generative.And all of a sudden, April, it changed. And it's essentially just another case of the tail wagging the dog. Consumers were flocking to ChatGPT and enterprises had to take notice. And so, what I saw, in the spring was—and I was at a conference from SaaS, I'm [unintelligible 00:20:21] SAP, Oracle, IBM, Mongo, Snowflake, Databricks and others—that they all very quickly changed their tune to talk about generative AI. What we were seeing was for the most part, position statements, but we also saw, I think, the early emphasis was, as you say, it's basically English as the new default programming language or API, so basically, coding assistance, what I'll call conversational query.I don't want to call it natural language query because we had stuff like Tableau Ask Data, which was very robotic. So, we're seeing a lot of that. And we're also seeing a lot of attention towards foundation models because I mean, what organization is going to have the resources of a Google or an open AI to develop their own foundation model? Yes, some of the Wall Street houses might, but I think most of them are just going to say, “Look, let's just use this as a starting point.”I also saw a very big theme for your models with your data. And where I got a hint of that—it was a throwaway LinkedIn post. It was back in, I think like, February, Databricks had announced Dolly, which was kind of an experimental foundation model, just to use with your own data. And I just wrote three lines in a LinkedIn post, it was on Friday afternoon. By Monday, it had 65,000 hits.I've never seen anything—I mean, yes, I had a lot—I used to say ‘data mesh' last year, and it would—but didn't get anywhere near that. So, I mean, that really hit a nerve. And other things that I saw, was the, you know, the starting to look with vector storage and how that was going to be supported was it was going be a new type of database, and hey, let's have AWS come up with, like, an, you know, an [ADF 00:21:41] database here or is this going to be a feature? I think for the most part, it's going to be a feature. And of course, under all this, everybody's just falling in love, falling all over themselves to get in the good graces of Nvidia. In capsule, that's kind of like what I saw.Corey: That feels directionally accurate. And I think databases are a great area to point out one thing that's always been more a little disconcerting for me. The way that I've always viewed databases has been, unless I'm calling a RAND function or something like it and I don't change the underlying data structure, I should be able to run a query twice in a row and receive the same result deterministically both times.Tony: Mm-hm.Corey: Generative AI is effectively non-deterministic for all realistic measures of that term. Yes, I'm sure there's a deterministic reason things are under the hood. I am not smart enough or learned enough to get there. But it just feels like sometimes we're going to give you the answer you think you're going to get, sometimes we're going to give you a different answer. And sometimes, in generative AI space, we're going to be supremely confident and also completely wrong. That feels dangerous to me.Tony: [laugh]. Oh gosh, yes. I mean, I take a look at ChatGPT and to me, the responses are essentially, it's a high school senior coming out with an essay response without any footnotes. It's the exact opposite of an ACID database. The reason why we're very—in the database world, we're very strongly drawn towards ACID is because we want our data to be consistent and to get—if we ask the same query, we're going to get the same answer.And the problem is, is that with generative, you know, based on large language models, computers sounds sentient, but they're not. Large language models are basically just a series of probabilities, and so hopefully those probabilities will line up and you'll get something similar. That to me, kind of scares me quite a bit. And I think as we start to look at implementing this in an enterprise setting, we need to take a look at what kind of guardrails can we put on there. And the thing is, that what this led me to was that missing piece that I saw this spring with generative AI, at least in the data and analytics world, is nobody had a clue in terms of how to extend AI governance to this, how to make these models explainable. And I think that's still—that's a large problem. That's a huge nut that it's going to take the industry a while to crack.Corey: Yeah, but it's incredibly important that it does get cracked.Tony: Oh, gosh, yes.Corey: One last topic that I want to get into. I know you said you don't want to over-index on AWS, which, fair enough. It is where I spend the bulk of my professional time and energy—Tony: [laugh].Corey: Focusing on, but I think this one's fair because it is a microcosm of a broader industry question. And that is, I don't know what the DBA job of the future is going to look like, but increasingly, it feels like it's going to primarily be picking which purpose-built AWS database—or larger [story 00:24:56] purpose database is appropriate for a given workload. Even without my inappropriate misuse of things that are not databases as databases, they are legitimately 15 or 16 different AWS services that they position as database offerings. And it really feels like you're spiraling down a well of analysis paralysis, trying to pick between all these things. Do you think the future looks more like general-purpose databases, or very purpose-built and each one is this beautiful, bespoke unicorn?Tony: [laugh]. Well, this is basically a hit on a theme that I've been—you know, we've been all been thinking about for years. And the thing is, there are arguments to be made for multi-model databases, you know, versus a for-purpose database. That being said, okay, two things. One is that what I've been saying, in general, is that—and I wrote about this way, way back; I actually did a talk at the [unintelligible 00:25:50]; it was a throwaway talk, or [unintelligible 00:25:52] one of those conferences—I threw it together and it's basically looking at the emergence of all these specialized databases.But how I saw, also, there's going to be kind of an overlapping. Not that we're going to come back to Pangea per se, but that, for instance, like, a relational database will be able to support JSON. And Oracle, for instance, does has some fairly brilliant ideas up the sleeve, what they call a JSON duality, which sounds kind of scary, which basically says, “We can store data relationally, but superimpose GraphQL on top of all of this and this is going to look really JSON-y.” So, I think on one hand, you are going to be seeing databases that do overlap. Would I use Oracle for a MongoDB use case? No, but would I use Oracle for a case where I might have some document data? I could certainly see that.The other point, though, and this is really one I want to hammer on here—it's kind of a major concern I've had—is I think the cloud vendors, for all their talk that we give you operational simplicity and agility are making things very complex with its expanding cornucopia of services. And what they need to do—I'm not saying, you know, let's close down the patent office—what I think we do is we need to provide some guided experiences that says, “Tell us the use case. We will now blend these particular services together and this is the package that we would suggest.” I think cloud vendors really need to go back to the drawing board from that standpoint and look at, how do we bring this all together? How would he really simplify the life of the customer?Corey: That is, honestly, I think the biggest challenge that the cloud providers have across the board. There are hundreds of services available at this point from every hyperscaler out there. And some of them are brand new and effectively feel like they're there for three or four different customers and that's about it and others are universal services that most people are probably going to use. And most things fall in between those two extremes, but it becomes such an analysis paralysis moment of trying to figure out what do I do here? What is the golden path?And what that means is that when you start talking to other people and asking their opinion and getting their guidance on how to do something when you get stuck, it's, “Oh, you're using that service? Don't do it. Use this other thing instead.” And if you listen to that, you get midway through every problem for them to start over again because, “Oh, I'm going to pick a different selection of underlying components.” It becomes confusing and complicated, and I think it does customers largely a disservice. What I think we really need, on some level, is a simplified golden path with easy on-ramps and easy off-ramps where, in the absence of a compelling reason, this is what you should be using.Tony: Believe it or not, I think this would be a golden case for machine learning.Corey: [laugh].Tony: No, but submit to us the characteristics of your workload, and here's a recipe that we would propose. Obviously, we can't trust AI to make our decisions for us, but it can provide some guardrails.Corey: “Yeah. Use a graph database. Trust me, it'll be fine.” That's your general purpose—Tony: [laugh].Corey: —approach. Yeah, that'll end well.Tony: [laugh]. I would hope that the AI would basically be trained on a better set of training data to not come out with that conclusion.Corey: One could sure hope.Tony: Yeah, exactly.Corey: I really want to thank you for taking the time to catch up with me around what you're doing. If people want to learn more, where's the best place for them to find you?Tony: My website is dbinsight.io. And on my homepage, I list my latest research. So, you just have to go to the homepage where you can basically click on the links to the latest and greatest. And I will, as I said, after Labor Day, I'll be publishing my take on my generative AI journey from the spring.Corey: And we will, of course, put links to this in the [show notes 00:29:39]. Thank you so much for your time. I appreciate it.Tony: Hey, it's been a pleasure, Corey. Good seeing you again.Corey: Tony Baer, principal at dbInsight. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an angry, insulting comment that we will eventually stitch together with all those different platforms to create—that's right—a large-scale distributed database.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

Galen Hair and Cheryl Cran, discussed the future of work, recruitment challenges, and leadership strategies. The conversation emphasized the need for businesses to align with technological advances such as AI and face recruitment challenges head-on by fostering a culture of growth, teamwork, and reward. They highlighted the importance of communication and explored the idea of adopting a 'start-up' approach, such as considering freelancers or contract work. They also discussed ways to augment employee productivity during remote work, combat "quiet quitting," and navigate the ethical implications of AI replacing human jobs. Who's the Guest? Cheryl Cran is the founder of NextMapping™/NextMapping.com, creator of the NextNow podcast and the CEO of parent company Synthesis at Work Inc. Named #1 Future of Work influencer by Onalytica, and in the top ten future of work experts by GoCatalant. She is on the Fast Company Magazine Executive Board and a faculty member of ExecOnline. Cheryl is the author of 10 books including her newest, Super.Crucial.Human and her bestsellers, “NextMapping – Anticipate, Navigate and Create The Future of Work” and “The Art of Change Leadership – Driving Transformation In a Fast Paced-World”.   Highlights Cheryl discusses the issues of attracting and retaining key staff. The need for a reevaluation of work processes, such as how work is distributed and how automation and AI can be leveraged better. The explosion of freelance and contract work post-COVID. Cheryl urges business leaders to think like a start-up and question if they would have the current jobs in their business if they were starting it from scratch.   The concept of paying employees well and treating them like entrepreneurs is discussed. Younger generations are diversifying their income, taking on multiple jobs simultaneously to secure their revenue. The way to stop quiet quitting is through consistent one-on-one meetings and coaching, helping to identify early signs of disengagement. The ethics behind AI usage are brought up, especially when it comes to content creation and the question of replacing human effort with AI applications. Episode Resources Connect with Galen M. Hair https://insuranceclaimhq.com hair@hairshunnarah.com Connect with Cheryl Cran https://nextmapping.com/ https://twitter.com/cherylcran  

#Latam #fintech #innovation #AI #invoicing #data #supplychain in this episode Dr. Efi Pylarinou talks toDescription: Dr. Alejandro Betancourt, an AI academic who has collaborated extensively with AI luminary Andrew Ng and has hands-on Fintech experience, discusses one of Latin America`s leading innovation in data and fintech. A captivating discussion on electronic invoicing and supply chain finance which is years ahead in Latam. Closing with an insightful discussion around the mind-shift required to unlock value in financial services and leverage the advancements in training AI models. Dr. Alejandro Betancourt https://www.linkedin.com/in/alejandrobt/ is a distinguished leader in Artificial Intelligence and Data, with a particularly impactful contribution to the Fintech sector. He earned a Ph.D. in Cognitive Environments and holds degrees in Applied Mathematics, giving him a unique blend of technical expertise and theoretical acumen. As the Chief Data Officer of KLYM, he has been instrumental in shaping the company's data strategy, driving its expansion across Latin America, and paving the way for innovative financial solutions. His work encompasses the full data lifecycle, from acquisition and engineering to insightful application via data science and business intelligence tools.Beyond his executive role, Dr. Betancourt is deeply involved in the AI community, with collaborations with AI luminary Andrew Ng and over 20 published articles in top-tier journals. Yet, his approach remains grounded and community-oriented. He believes in the power of collaborative effort to advance technology and is keen to explore potential collaborations, creating a synergy that fuels AI innovation and its practical implementation. His vision is to continue unlocking the potential of AI and data systems, paving the way for their transformative impact in the Fintech industry and beyond. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

An Asian Perspective on CBDCs & Cross-border Payments In this episode Dr. Efi Pylarinou talks to Dr Oriol Caudevilla, an honorary fellow at the Asian Institute of International Financial Law at the University of Hong Kong and a board director at the Global Impact FinTech Forum, about his research on the Digital Yuan and Cross-border payments, and CBDCs in the East.Description: A conversation with Dr Oriol Caudevilla, an important Fintech voice and a CBDC researcher.  Dr Oriol Caudevilla is an influential voice in the fintech area. He is an honorary fellow at the Asian Institute of International Financial Law at the University of Hong Kong and a board director at the Global Impact FinTech Forum. He is also a well-known international speaker on central bank digital currencies and blockchain.More information about Oriol and his works are available at his website: www.oriolcaudevilla.com and LinkedIn profile: https://www.linkedin.com/in/oriolcaudevilla/  Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

In this episode Dr. Efi Pylarinou talks to Rainy Gill, VP of Marketing at efinancialcareers about the inaugural 2023 report on Diversity, Equity, and Inclusion (DEI)A discussion on the essential strategies and key best practices outlined in the inaugural Diversity, Equity, and Inclusion (DEI) Report 2023, published incollaboration between eFinancialCareers and The Cee-Suite, a leadingdiversity equity and inclusion (DEI) consultancy.https://www.efinancialcareers.comRainy Gill https://www.linkedin.com/in/rainygill/ is the VP of Marketing at eFinancialCareers and is atraditionally trained marketer having graduated with both BA and Master'sdegree in Marketing. Rainy also holds over 20 years of marketing experiencewithin various industries including 14 years in the Financial Servicespublishing industry, where she was Head of Product Marketing for the FinancialRisk Management and Trading Technology division at Incisive Media. Rainy'srecent role saw her leading the European marketing function for the Consultingdivision of Kantar. Rainy is passionate about supporting diversity, equality and inclusionprograms. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

This episode is brought to you by Paleovalley, AG1, and Mitopure. Many people still believe that eating cholesterol and fat, especially saturated fat, causes heart attacks and that taking statin drugs is the only way to reduce your risk of heart attacks, but now we know the science says otherwise. The good news is this: we have a lot more control than we originally thought when it comes to preventing and reversing heart disease.In today's episode, I talk with Dr. Cindy Geyer, Dr. Aseem Malhotra, and Dr. Todd LePine about why we need to look beyond cholesterol levels to protect our hearts.Dr. Cindy Geyer received her bachelor of science and doctor of medicine degrees, with honors, from the Ohio State University. She completed her residency in internal medicine at Strong Memorial Hospital in Rochester, NY, and is triple board certified in internal medicine, integrative medicine, and lifestyle medicine. She joined The UltraWellness Center in 2021 after practicing and serving as the medical director at Canyon Ranch for 23 years.Dr. Aseem Malhotra is an NHS-trained consultant cardiologist and visiting professor of evidence-based medicine at the Bahiana School of Medicine and Public Health in Salvador, Brazil. He is a founding member of Action on Sugar. He is a pioneer of the lifestyle medicine movement in the UK and in 2018 was ranked by software company Onalytica as the number one doctor in the world influencing obesity thinking. Dr. Malhotra's first book, The Pioppi Diet, coauthored with Donal O'Neill, was an international bestseller, and his next book, The 21-Day Immunity Plan, was also a Sunday Times top 10 bestseller. His new book is A Statin-Free Life.Dr. Todd LePine graduated from Dartmouth Medical School and is board certified in internal medicine, specializing in Integrative Functional Medicine. He is an Institute for Functional Medicine Certified Practitioner. Prior to joining The UltraWellness Center, he worked as a physician at Canyon Ranch in Lenox, MA, for 10 years. His areas of interest include optimal aging, bio-detoxification, functional gastrointestinal health, systemic inflammation, autoimmune disorders, and the neurobiology of mood and cognitive disorders.This episode is brought to you by Paleovalley, AG1, and Mitopure. Paleovalley is offering my listeners 15% off their entire first order. Just go to paleovalley.com/hyman to check out all their clean Paleo products and take advantage of this deal.Right now, AG1 is offering 10 FREE travel packs with your first purchase by visiting drinkAG1.com/HYMAN.Get 10% off Mitopure at timelinenutrition.com/drhyman and use code DRHYMAN10 at checkout.Full-length episodes of these interviews (and links to all the references mentioned) can be found here:Dr. Cindy GeyerDr. Aseem MalhotraDr. Todd LePine Hosted on Acast. See acast.com/privacy for more information.

Expanding the concept of Wealth based on the principles developed by a successful ex- Wealth advisor, Jennifer Wines.  Jennifer Wines https://www.linkedin.com/in/jenniferwines/ worked at some of the top private wealth management institutions in the world, namely Goldman Sachs, JPMorgan, and Fidelity. She earned her Juris Doctor from Suffolk University Law School in Boston and her Certified Private Wealth Advisor designation from Booth Business School in Chicago. While at Fidelity, she developed a proof of concept and prototype for an enterprise solution, which was advanced into incubation. Her strong background with words and numbers, paired with her entrepreneurial spirit make her a trusted voice on the topic of redefining wealth. Recently named one of the Top 100 Women of the Future, Jennifer is a certified private wealth advisor who founded Invisible Wealth, which provides future-forward, consultancy services. Invisible Wealth, the book, is now available through all major retailers. Publisher: Wiley. Book by Wiley: Invisible Wealth Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

Exploring the Possibilities of Wearables for Payments In this captivating conversation, I am joined by David Birch as we delve into the emerging world of wearables for payments. From discussing the technological evolution of the chips to the possibilities in everyday life, in entertainment, and the fashion industry. David Birch - website - https://dgwbirch.com/David G. W. Birch https://www.linkedin.com/in/dgwbirch/ is an author, advisor and commentator on digital financial services. He is an international keynote speaker and recognised thought leader in digital identity and digital money. Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

Over the last century, the world of work has changed extensively. We've experienced growth in the service sector, increased participation of women and minorities, and the rise of automation and technology – yet, oddly enough, many HR practices haven't evolved much or at all. Melissa Swift, the Transformation Leader for North America at the Mercer consulting firm, believes that it's time to update HR to finally meet the demands of today's workplace.Melissa Swift is a recognized authority on humanistic workplace transformation and the author of Work Here Now: Think Like a Human and Build a Powerhouse Workplace. As the Transformation Leader for North America Mercer, she helps C-suite executives and organizations reinvent the employee experience, drive performance, and create a sustainable competitive advantage. In this episode, Dart and Melissa discuss:- Uncovering the dark history and roots of HR practices- The evolution of traditional and agile HR models- Work Here Now, by Melissa Swift- The danger of excessive customer centricity- Mapping customer journeys alongside employee journeys- Research findings on what makes work pleasant or unpleasant - The competing demands and complexities of the CPO role- The impact of unrealistic expectations in the age of technology- Pitfalls of a cost-centered approach to work- And other topics…Melissa Swift is a recognized authority on humanistic workplace transformation and the author of Work Here Now: Think Like a Human and Build a Powerhouse Workplace. She is the Transformation Leader for North America Mercer, an HR and wealth management consultancy that helps C-suite executives and organizations reinvent the employee experience, drive performance, and create a sustainable competitive advantage. Across her diverse career, Melissa has founded a research institute on leadership of the future for Russell Reynolds Associates, launched two ESG practices at Deloitte, and conducted landmark carbon credit trades for Deutsche Bank. Her research has been published in Harvard Business Review and The Wall Street Journal, and her insights have been quoted in Newsweek, The Washington Post, The Economist, and more. She has also been featured as one of Twitter's “20 Digital Transformation Leaders to Follow” and named a “Top Influencer on the Future of Work” by Onalytica.Resources Mentioned:Work Here Now, by Melissa Swift: https://www.amazon.com/Work-Here-Now-Powerhouse-Workplace/dp/B0BVX6J4V1 The No Asshole Rule, by Robert Sutton: https://www.amazon.com/The-No-Asshole-Rule-audiobook/dp/B000NOKBYS Mapping Experiences, by James Kalbach: https://www.amazon.com/Mapping-Experiences-Complete-Alignment-Blueprints/dp/1492076635 The Anatomy of Genres, by John Truby: https://www.amazon.com/Anatomy-Genres-Story-Forms-Explain/dp/0374539227 Humanocracy, by Gary Hamel: https://www.amazon.com/Humanocracy-Creating-Organizations-Amazing-People/dp/B08F2RZ6VH Connect with Melissa:LinkedIn: https://www.linkedin.com/in/swiftmelissa/ Twitter: https://twitter.com/meswift 

Embracing the Future: Apple Vision Pro & the New World of Augmented Reality #apple #VR #AR #VisionPro #metaverse Description: An open discussion, following the introduction of Apple Vision Pro, on the advancements in these technologies. Dr. Martha Boeckenfeld's energy and passion for innovation and customer-centricity are contagious. From being the CEO of Kleinwort Benson and spending 20 yrs in insurance and banking, she is now the founder of Marthaverse and the Dean & Partner of the Metaverse Academy in Switzerland.  Dr. Martha Boeckenfeld - https://www.linkedin.com/in/dr-martha... MarthaVerse: https://www.spatial.io/s/MarthaVerse-64025c5a7776f525558f58cd?share=1173226691664552099-Metaverse Academy - https://www.metaverse-academy.ch/ Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

Dr. Efi Pylarinou is the No.1 Global Woman Influencer in Finance & the Data conversation by Refinitiv, a Top Thought Leader by Onalytica, and a Top Digital Futurist, Linkedin and Twitter Voice, by Engatica. A seasoned Wall Street professional & a recognized technology thought leader on innovation topics. Founder of Efi Pylarinou Advisory servicing Big Tech, Financial Services and Fintech clients. She strongly believes in building bridges between the old and the new economy. She shares her passion of content creation with her 190,000+ followers on Linkedin and 18,000+ on Twitter.  Join her on the social platforms https://linktr.ee/Efiglobal

One might argue that influencer marketing should be an even more important marketing channel for B2B brands, but most simply misunderstand what is potentially the most powerful marketing channel for them.From leveraging employees as internal influencers to properly collaborating with external influencers, influencer marketing can have a profound impact on B2B businesses when done right.So how do you best DO B2B influencer marketing?I can't think of anyone in the world to more knowledgable about B2B influencer marketing than Tim Williams, CEO of Onalytica.Together we will discuss the following:- ROI of B2B Influencer Marketing- Best ways to activate B2B Creators- What B2B Creators are looking for when partnering with brands- How to connect your Employee Advocacy & Influencer Marketing programs- How to measure influencer marketing successI hope you can join us for what should be a profoundly educational and invaluable use of your time!Learn More: Join My Digital First Mastermind: https://nealschaffer.com/membership/ Learn about My Fractional CMO Consulting Services: https://nealschaffer.com/cmo Download My Free Ebooks Here: https://nealschaffer.com/freebies/ Subscribe to my YouTube Channel: https://youtube.com/nealschaffer All My Podcast Show Notes: https://podcast.nealschaffer.com

DETAILS | In the age of AI Everywhere, there's a growing conversation about Crucial Human Skills at work. But how do you actually harness them? We dove deep with Cheryl Cran, a top authority on this topic, and The Future of Work. Cheryl has spent decades teaching her clients how to become better leaders by becoming better humans. This conversation is a masterclass in understanding how human-centered leaders and organizations elevate from baseline communication to conscious communication, the dangers of polarity thinking, the importance of shifting from a “Me to We” Mindset, and using tech for good! We also unpack Cheryl's fantastic new book “Super.Crucial.Human,” discussing leading with love and learning more about Cheryl's journey from a self-identified control freak to elevating humanity in the workforce and herself. If you want to understand how to bring your human superpowers to work, do not miss this beautiful conversation.   GUEST | Cheryl Cran founded NextMapping, a future of work consultancy. She was named #1 in The Future of Work by Onalytica and Top Ten Future of Work by GoCatalant. Her clients include Amazon, Salesforce, Kaiser, and many more. She's an executive board member for Fast Company and on the faculty for ExecOnline. She's the author of 10 books, including her most recent book Super.Crucial.Human.   OVERVIEW | Are you ready to ADAPT and REINVENT YOURSELF for the most disrupted and digital workforce in history? What would it feel like to belong and not get stuck? It is estimated over 1 billion people will need reskilling by 2030, and more than 300 million jobs will be impacted by AI  — work, identity, and what it means to be human are rapidly changing. Join hosts Nate Thompson and Alex Schwartz and the TOP VOICES in the Future of Work to uncover how to meet this dynamic new reality driven by AI, hybrid work, societal shifts, and our increasingly digital world. Discover why a Future of Work Mindset is your key to prepare, navigate and thrive! We are grateful you are here, and welcome to the TDW Tribe! www.thedisruptedworkforce.com

This episode is brought to you by Rupa Health, Athletic Greens, and BiOptimizers.For many of us, growing up we were told that eating foods high in fat is bad for you. Many people still believe that eating cholesterol and fat, especially saturated fat, causes heart attacks. Yet recent studies show there is no association between saturated fat consumption and adverse health outcomes like coronary disease or heart attacks. We also don't hear enough about insulin resistance as a main driver of cardiovascular disease. In today's episode, I talk with Nina Teicholz and Dr. Aseem Malhotra about the origins of the hypothesis that dietary fat raises cholesterol, subsequently increasing heart disease, and how it caught hold.Nina Teicholz is a science journalist and author of the New York Times bestseller The Big Fat Surprise, which upended the conventional wisdom on dietary fat—especially saturated fat—and spurred a new conversation about whether these fats in fact cause heart disease. Nina is also the founder of the Nutrition Coalition, a nonprofit working to ensure that government nutrition policy is transparent and evidence based—work for which she's been asked to testify before the US Department of Agriculture and the Canadian Senate. Dr. Aseem Malhotra is an NHS-trained consultant, cardiologist, and visiting professor of evidence-based medicine at the Bahiana School of Medicine and Public Health in Salvador, Brazil. He is a founding member of Action on Sugar. In 2015, he became the youngest member to be appointed to the board of trustees of the UK health charity The King's Fund. He is a pioneer of the lifestyle medicine movement in the UK and in 2018 was ranked by software company Onalytica as the number one doctor in the world influencing obesity thinking.This episode is brought to you by Rupa Health, Athletic Greens, and BiOptimizers.Rupa Health is a place where Functional Medicine practitioners can access more than 2,000 specialty lab tests from over 35 labs like DUTCH, Vibrant America, Genova, and Great Plains. You can check out a free, live demo with a Q&A or create an account at RupaHealth.com.AG1 contains 75 high-quality vitamins, minerals, whole-food sourced superfoods, probiotics, and adaptogens to support your entire body. Right now when you purchase AG1 from Athletic Greens, you will receive 10 FREE travel packs with your first purchase by visiting athleticgreens.com/hyman.Magnesium Breakthrough really stands out from the other magnesium supplements out there. BiOptimizers is offering my community 10% off plus special gift with purchase, so just head over to magbreakthrough.com/hyman with code hyman10.Full-length episodes of these interviews can be found here:Nina TeicholzDr. Aseem Malhotra Hosted on Acast. See acast.com/privacy for more information.

Social Selling: Techniques to Influence Buyers and Changemakers by Tim Hughes About the Book: Understand how to reach and engage with the modern buyer using this bestseller. Social Selling outlines how to implement a social selling strategy and drive revenue, competitive advantage, and market share through social networks. Social Selling is a practical, step-by-step blueprint on how to create digital communities and build and turn relationships into sales online.  Featuring checklists, tips, and examples providing practical guidance, it covers important subjects such as how to network purposely and build social media trust in a mistrustful time and how to develop real influence and authority in your subject area. Now newly revised, the second edition of Social Selling captures the latest changes and developments in the industry.  It will be accompanied by a new introductory chapter, and two new chapters on defining digital businesses and the future of sales and marketing, alongside new case studies by leading industry experts.  Written by a thought leader and renowned practitioner in social selling, Timothy Hughes, this book is essential reading for sales professionals, digital sales directors, and social media executives who want to embrace the power of social selling in their organizations. About the Author: Timothy Hughes is co-founder and CEO of the global social selling company DLA Ignite. He was listed as one of the top eight sales experts to follow globally by LinkedIn and has been ranked as one of the most influential people in social selling by Onalytica. He is also the co-author of Smarketing: How to Achieve Competitive Advantage through Blended Sales and Marketing which was featured on episode 218 of The Marketing Book Podcast in 2019. And, interesting fact – his undergraduate degree was in electrical engineering! Click here for this episode's website page with the links mentioned during the interview... https://www.salesartillery.com/marketing-book-podcast/social-selling-tim-hughes

William McKnight has been recognized as the #1 global influencer in big data, cloud, and data center by Thinkers 360 and the #1 global influencer in master data management by Onalytica in 2022. He is the Founder and President of McKnight Consulting Group, which advises many of the Global 2000 companies, including Pfizer, Verizon, UnitedHealth Group, Dell, Oracle, and Scotiabank, on ways to grow their businesses with big data faster. They've been recognized as one of the Inc. 5000 fastest-growing private companies in the US two times and their clients in 14+ countries have reaped tremendous ROI and turned data into a real corporate asset. With over 30 years of experience, William is a highly sought-after speaker who has spoken on four continents for various organizations, including IBM, Microsoft, Oracle, Bank of America, Orange South Africa, and SAP. Listen in as we discuss personal data, who's watching you, and how they can use the data collected from you. We also discuss new analytic uses of master data management in the enterprise, how AI will significantly impact users and how organizations think about their data resources.

On this episode of Scouting For Growth, Sabine VdL talks to two renowned FinTech Influencers and respected voices in finance and insurance, Danielle Guzman – head of social media at Mercer who is an expert at activating employees and creating business impact on social media, and Theodora Lau - Founder at Unconventional Ventures, author, podcast host and public speaker who advises many startup ventures. KEY TAKEAWAYS Danielle - The future of work is something I'm passionate about, both personally and professionally and the journey over the past years has been about reinventing myself and how to stay relevant in a world that is changing so radically. The pandemic has only accelerated that journey, not just for me but for everyone to be thinking about this a lot more, using social media channels to connect and make a difference. Theo – I spent the bulk of my career in telecom, not finance and banking, don't hold that against me! What's interesting is, when you look at high-tech, telecom, financial service industry, and FinTech and InsurTech startups, a lot of what we do inherently at the end of the day is about people. Technology is a means to an end and allows us to communicate and exchange ideas. As a broader society, we're starting to realize that self-care is actually not self-indulgence. The conversations around mental health and well-being are now becoming what they should be. Health is embedded in every aspect of our lives, but mental health and taking time to invest in our own well-being have always been secondary things. It's critical that now through organizations and leaders that it's becoming a very real and daily conversation at the table. I grew up in a generation where you had a career, and now we're part of a generation where you're having career experiences. There's so much that needs to be done for that to become accessible to everyone, there doesn't seem to be an answer to that right now but organizations are trying to figure that out. That's going to be a watershed moment for the future of work and one of the biggest changes that we will probably see in our lifetime and we're at the beginning of that journey. At the crux of that is the concept of trust.   BEST MOMENTS ‘I like to look at everything as not making big changes all at once, but how we can make small, incremental changes that have a compound return over time.' ‘The past 18 months have shown, we might be in the same storm, but we're not in the same boat. We have been very aware of a lot of the challenges and inequalities that exist in our society, but I hope we take away the learning from recent months that there's a lot we still need to do.' ‘Longevity is a challenge, but it's actually an opportunity. Since the early 1900s we've all gained an extra, healthy 30 living years. Living longer affords us to try different things in our careers.' ‘Are new solutions being created to mimic what we've always had in the past, or are they being created to support these new opportunities? Are there enough solutions out there to support small business owners and gig workers? I would say we need more.' ABOUT THE GUEST As the VP of Social and Distributed Content at Mercer, Danielle uses data to assess the viability of risky campaigns and predict the future of digital content consumption. Since diving head first into the world of insights-driven marketing and leadership, Danielle has seen data transform the careers of dozens of marketers—including her own. Website: https://www.mercer.com/ Theodora (Theo) Lau is a public speaker, writer, and startup advisor, whose work seeks to spark innovation to improve consumer financial well-being. As founder of Unconventional Ventures, she focuses on developing and growing an ecosystem of financial institutions, corporates, entrepreneurs, and venture capitalists to better address the unmet needs of consumers (e.g. older adults and gig economy workers), with keen interests in women and minority founders. As part of her work, she regularly mentors and advises FinTech startups. She is recognized as a LinkedIn Top Voice for Economy and Finance, No. 1 Women in Finance by Onalytica, and Top FinTech influencer by various publications including Onalytica, Retail Banker International, and FinTech Finance. She co-hosts Rhetoriq, a podcast on longevity and fintech innovations, and runs a weekly blog on Irish Tech News. She is also a regular contributor for various top industry events, publications, and podcasts, including Harvard Business Review, MIT Tech Review, Money20/20, Finovate, RISE, American Banker, Breaking Banks, Financial Brand, Financial Revolutionist, Irish Tech News, Mercer, and INV Filter. She provides strategic advisory services to a broad set of corporates; she advises startups and mentors entrepreneurs from different accelerators and incubators around the country. She is an advocate for diversity and inclusion – and frequently writes and speaks on the need for diversity on gender, ethnicity, age, education, and more. Her end goal is to help more financial institutions (incumbents and startups) focus on the needs of the forgotten demographics and build sustainable and inclusive business models. Website: https://www.unconventional.vc/  ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew, a venture lab that accelerates the curation, validation, and commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers and accelerating over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner.  Twitter: SabineVdL LinkedIn: Sabine VanderLinden Instagram: sabinevdLofficial Facebook: SabineVdLOfficial TikTok: sabinevdlofficial Email: podcast@sabinevdl.com Website: www.sabinevdl.comThis show was brought to you by Progressive Media

This episode is brought to you by Gut Food, ButcherBox, and Paleovalley.Heart disease is the number-one killer in the world, and it is often thought of as a cholesterol problem. When you take a closer look, however, there are other factors that drive this chronic disease that can't be fixed by the most commonly prescribed medication: statin drugs. The way you eat, how much you exercise, how you manage stress, and more all contribute to heart disease. In this episode, I talk with Dr. Aseem Malhotra, Dr. Stanley Hazen, and Dr. Cindy Geyer about why heart disease is easier to prevent than to reverse, why statins are not the answer in most cases, and how the gut microbiome is connected to heart health. Dr. Aseem Malhotra is an NHS-trained consultant, cardiologist, and visiting professor of Evidence-Based Medicine at the Bahiana School of Medicine and Public Health in Salvador, Brazil. He is a pioneer of the lifestyle medicine movement in the UK and in 2018 was ranked by software company Onalytica as the number-one doctor in the world influencing obesity thinking. He is the author of, The Pioppi Diet, coauthored with Donal O'Neill, The 21-Day Immunity Plan, and, A Statin-Free Life.Dr. Stanley Hazen is both the chair of the Department of Cellular & Molecular Medicine at the Lerner Research Institute and section head of Preventive Cardiology & Rehabilitation at the Heart and Vascular Institute of the Cleveland Clinic. He's published more than 400 peer-reviewed articles and has over 50 patents from his pioneering discoveries in atherosclerosis and inflammatory disease. Dr. Hazen made the seminal discovery linking microbial pathways to the pathogenesis of cardiovascular disease.Dr. Cindy Geyer received her Bachelor of Science and her Doctor of Medicine degrees, with honors, from the Ohio State University. She completed her residency in internal medicine at Strong Memorial Hospital in Rochester, NY, and is triple board certified in internal medicine, integrative medicine, and lifestyle medicine. She joined The Ultrawellness Center in 2021 after practicing and serving as the medical director at Canyon Ranch for 23 years. This episode is brought to you by Gut Food, ButcherBox, and Paleovalley.Gut Food uses the power of three critical gut-supporting components—prebiotics, probiotics, and polyphenols—and five ingredients at clinically validated dosages to help reduce inflammation, support the growth of beneficial gut bacteria, improve digestion and bloating, and support mood & energy. Check it out at gutfood.com.If you sign up today, ButcherBox will give you two ribeye steaks for free in your first box—just go to butcherbox.com/farmacy.Paleovalley is offering my listeners 15% off their entire first order. Just go to paleovalley.com/hyman.Full-length episodes of these interviews can be found here:Dr. Aseem MalhotraDr. Stanley HazenDr. Cindy Geyer See acast.com/privacy for privacy and opt-out information.

This episode is brought to you by Rupa Health, ButcherBox, and Mitopure.Heart disease is still the number one killer in the world, yet most people don't actually understand what markers put them most at risk. It's so much more than just LDL cholesterol. Statins have become the panacea for anyone with LDL that's just a little off, yet most people (and even many doctors) aren't fully informed of the risks versus the benefits of this drug, let alone aware of other treatment options for heart disease. Today, I talk to Dr. Aseem Malhotra about the real data on statins, heart disease, metabolic syndrome, and so much more. Dr. Aseem Malhotra is an NHS-trained consultant cardiologist and visiting Professor of Evidence-Based Medicine at the Bahiana School of Medicine and Public Health in Salvador, Brazil. He is a founding member of Action on Sugar. In 2015, he became the youngest member to be appointed to the board of trustees of UK health charity, The King's Fund. He is a pioneer of the lifestyle medicine movement in the UK and in 2018 was ranked by software company Onalytica as the number one doctor in the world influencing obesity thinking. Dr. Malhotra's first book The Pioppi Diet, co-authored with Donal O'Neill, was an international bestseller and his next book, The 21-Day Immunity Plan, was also a Sunday Times top 10 bestseller. His new book is A Statin-Free Life.This episode is brought to you by Rupa Health, ButcherBox, and Mitopure.Rupa Health is a place where Functional Medicine practitioners can access more than 2,000 specialty lab tests from over 20 labs. Check out a free, live demo with a Q&A or create an account here. For a limited time, new subscribers to ButcherBox will receive 2lbs of 100% grass-fed, grass-finished beef free in every box for the life of your subscription here. Mitopure is the first and only clinically tested, pure form of a natural gut metabolite called urolithin A that clears damaged mitochondria away from our cells and supports the growth of new, healthy mitochondria. Get 10% off by using code DRHYMAN10 at checkout here.Here are more details from our interview (audio version / Apple Subscriber version): Statin drugs and our overexaggerated fear of cholesterol's role in heart disease (9:14 / 6:00)Are heart-attack and heart-disease death rates decreasing? (11:06 / 8:15)Statin benefits for people who have already had a heart attack (16:21 / 13:00) Statin effectiveness for heart-attack and stroke prevention (20:29 / 17:04) Why we're typically looking at the wrong thing when we measure cholesterol (21:45 / 21:05)Targeting insulin resistance as a root cause of heart disease (32:39 / 27:33)Positive and negative effects of statins (36:15 / 33:04)Prediabetes, diabetes, metabolic syndrome, and heart health (45:37 / 40:08)Foods to avoid and eat for heart health (51:41 / 46:33)Exercise and stress reduction for heart health (56:35 / 51:32) Get a copy of Dr. Malhotra's book, A Statin-Free Life: A Revolutionary Life Plan for Tackling Heart Disease—Without The Use of Statins, here. See acast.com/privacy for privacy and opt-out information.