Podcasts about key points data

Learn how to harness the power of data storytelling to make a real impact on your organization with the CMO of Singlestore, Madhukar Kumar Data leaders are increasingly adopting a product mindset to drive innovation and business value.Data products are becoming essential for providing specific domains of data to specific users while maintaining governance.SingleStore is a real-time data platform that combines SQL and columnar analytics for transactional and analytical use cases. Episode Summary: In this episode of the Data Team Success podcast, host Ross Webb interviews Madhukar Kumar, CMO of SingleStore, to discuss the importance of adopting a product mindset for data leaders and the rise of data products. Madhukar shares his insights on how data leaders can transform their strategies and use data as a key differentiator for their organizations. He also discusses the benefits of using a product mindset for data products and stories, and how this can help data teams move away from a focus on infrastructure and plumbing. Key Points: Data leaders need to be close to the product in order to understand the needs of their customers and develop effective marketing strategies.A product mindset is essential for creating data products that are valuable to users and meet their specific needs.SingleStore is a powerful tool that can help data leaders implement real-time data transformation and revolutionize their data strategies. Show Notes: Introduction:Madhukar is a pioneer in the field of real-time data solutions.He has a wealth of experience in helping organizations use data to drive innovation and business value.Importance of Being Close to the Product:Data leaders need to understand the product in order to develop effective marketing strategies.They need to be able to articulate the value of the product to potential customers.Adoption of a Product Mindset:A product mindset is essential for creating data products that are valuable to users.Data leaders need to think about the product from the user's perspective.Rise of Data Products:Data products are becoming increasingly important for organizations.They provide a way to deliver specific domains of data to specific users while maintaining governance.SingleStore & Real-time Capabilities:SingleStore is a real-time data platform that combines SQL and columnar analytics.It can be used to implement real-time data transformation and revolutionize data strategies. Conclusion: Data leaders are playing an increasingly important role in organizations. By adopting a product mindset and using data products, they can help their organizations achieve their goals and stay ahead of the competition. Additional Resources: Madhukar Kumar on LinkedIn: https://www.linkedin.com/in/madhukarkumar/SingleStore: https://singlestore.com/ Call to Action: Follow Madhukar Kumar on LinkedIn for more thought-provoking discussions on data leadership.Don't miss the next episode of the Data Team Success podcast, where we unravel the mysteries of data storytelling and its impact on the enterprise world. Stay tuned or miss out on the next big step in your career!

May 8, 2023: Dennis Joseph, Sr. Director - Product Management & Healthcare Practice Lead at Digital Scientists joins Bill for the news. What are the latest technologies that Digital Scientist is implementing in healthcare, especially as it relates to telehealth, AI, and getting devices connected? What are the current challenges in using AI models in healthcare due to the quality and availability of data, as well as potential biases in the models? What are the challenges in building a comprehensive patient profile, including genomic and ancestral history, and how can this be addressed in the future? What are the potential use cases of ChatGPT in medicine and wellness, and what are the challenges associated with them? Can ChatGPT be used to provide real-time evidence-based recommendations to healthcare providers to improve patient outcomes, and what are the potential risks and benefits of doing so? What are the limitations of ChatGPT in medical record keeping, and how can they be addressed to ensure patient safety?Key Points:Data quality and bias in AI modelsComprehensive patient profilesUse cases of ChatGPT in medicine and wellnessTelemedicine and virtual assistantsPatient safety and reliability of AI recommendationsNews articles:How Tech Leaders Compete In The Battle Of Healthcare AIJonathan Balaban on LinkedIn: Is the Chat GPT honeymoon over?ChatGPT is impressive, but it may slow the emergence of AGIONC proposes new rules for Cures Act implementation, certifications and more | Healthcare IT NewsThis Week Health SubscribeThis Week Health TwitterThis Week Health LinkedinAlex's Lemonade Stand: Foundation for Childhood Cancer Donate

The saturation of data in various areas of life and functionality has led to an interest in exploring different types of data management. Government agencies, along with their goal to be more transparent, have further put a demand on the handling of all of this data. As a result, incorporating newer and improved technology is a highly desirable track that takes center stage in this conversation. In what ways can companies, agencies, or organizations better strategize to improve the overload of data while also providing easy-to-use services for access? In a new episode of Government Impact, host Todd Hoffman talks to Scott Stern, Head of Global Product Marketing and Strategy at OneStream, and Morgan Page, Partner-in-Charge of Digital Transformation and Automation at Weaver, about the evolution of data management in government organizations and the best practices for implementing functional technological updates. Key Points: Data transformation is underway in government and agencies are gradually transitioning from paper to digital sources. Digitalization needs are increasing at a faster speed compared to pre-existing systems currently supporting many governments. Government organizations, in particular, need to find reasonable solutions and strategies for their digital needs going forward. Stern discussed the changes he's observed and the importance of data ownership for trust-building. He said being able to drive numbers without being overly focused on data management will help improve this. “The speed of now has to put this in front of the users at scale and not put them at the end of the line … they need to be setting the table in terms of the data strategy. That's a dynamic shift that we see happening a lot in the market,” said Stern. Page added that making effective changes will vary depending on the need of the organization. ,He emphasized that organizations should carefully examine all of the obligations to be better prepared. “Every organization's needs are going to be slightly adjusted. If you take a blue chip digital transformation and compare it to a mid-market, they're not going to work together and it's not going to meet the needs and it's going stall out. You need solutions that are adaptive and responsive and really facilitate that change in the business but are also flexible enough to also meet the need of that business,” said Page. Scott Stern is the Head of Global Product Marketing and Strategy at OneStream. He's been with the company for over four years now and is a graduate of the University of Florida–Warrington College of Business. Morgan Page is the Partner-in-Charge of Digital Transformation and Automation at Weaver. He's been with Weaver for more than 11 years now and is a graduate of the University of Texas at Dallas.

Today's episode is brought to you by Tableau. As an industry leader, Tableau has committed to enabling 10 million people with data skills over the next five years.   As part of our Tableau series on the importance of data skills in education, your host Ralph Newell sits down with Dr. Melody S. Goodman, Associate Dean for Research and Associate Professor of Biostatistics at the School of Global Public Health at New York University.   Tune in as Dr. Melody S. Goodman speaks to data as the world's greatest commodity and why everyone should understand how it works. But you don't have to be a data scientist to have data literacy!   Learn how you can help close the data skills gap and hear Dr. Goodman's experiences incorporating data skills into her community's education and the impact it's having.   KEY POINTS: - Data is now the world's most valuable resource  - Why data literacy is important, especially for students  - The ethical issue behind data analysis  - Are we at a data skills deficit in the classroom? - How to help increase data literacy in BIPOC students  - Tapping into the genius of low-income communities    QUOTABLES: “Whoever does the analysis is essentially the narrator. They're telling the story, right? And they're telling the story from their perspective. And in many cases, data scientists and statisticians are not black and brown folks.” “It is highly unlikely that all of the genius in this country comes out of the suburbs. You don't believe that there's genius in our ghettos and barrios and our reservations, as much as there is in our suburbs?”   GUEST RESOURCES: Tableau: Business Intelligence and Analytics Software (tableau.com) Other Tableau sponsored episodes:  Part 1: Why are Data Skills Important? Air date: July 21   PRODUCTS / RESOURCES: Watch this video and others on our YouTube channel: youtube.com/user/Diversediversedivers Visit the Diverse: Issues In Higher Education website: diverseeducation.com Or follow us on social media: Twitter: twitter.com/diverseissues Instagram: instagram.com/diverseissuesinhighereducation Facebook: facebook.com/DiverseIssuesInHigherEducation/ Linkedin: linkedin.com/company/diverse-issues-in-higher-education Transcription services are available upon request. Please drop us a line here.         In The Margins is produced by Diverse: Issues In Higher Education and edited by Instapodcasts (visit at instapodcasts.com)

In today's show, Pancham interviews Stefan Tsvetkov - founder of RealtyQuant, multifamily investor, analytics speaker, and live webinar host. Achieving financial independence is a natural goal for real estate investors but for Stefan, making more equity was his stepping stone to start his own company and make his own investments! With his financial engineering background, he was able to provide value in the real estate industry through data analytics, technology, and quantitative techniques! In this episode, learn how data can be the key to successful investments as he shares the concept of data-driven investing. He'll also share his analytical skills as he breaks down the data-driven system for investing, how you can see and predict the valuation of the properties, and how analyzing the market is very useful. Listen and enjoy the show!   Quote: “I've been very happy to be able to do that and be able to transition to a new field and being a private investor and being an entrepreneur. I quite like the dynamic versus working for income.” Timestamped Shownotes: 0:41 - Pancham introduces Stefan to the show 1:49 - His natural transition from financial engineering to real estate investing 9:08 - Data-driven investing and being more than just figures 13:35 - The benefit of using Automated Valuation Model when investing 16:10 - How data analysis helps identify potentially good investments 20:14 - Market analysis and why its data is very significant 25:37 - The best-performing markets to look out for based on market analytics 31:44 - Taking the Leap Round 31:44 - His 1st alternative investment outside of Wall Street 32:57 - Overcoming his fear by studying each investment details 33:58 - How his property investment didn't go as expected 34:33 - Why investors should understand the investments and its market evaluation 36:26 - How you can enroll in his Data-driven Real Estate Investing Course 3 Key Points: Data-driven investing is a system that imports data into quantitative methods and is able to pull big amounts of data to process and that can be analyzed. By collecting these numbers and being able to do the algorithm for data-driven investing, you can now have an estimate and track whether it has good valuation and value-add. Analyzing the market is driven by real estate fundamentals such as income, housing supply, and operations. Thus, knowing and comparing the data from different states helps. Get in Touch: Enroll now in their Data-driven Real Estate Investing Course at https://www.realtyquant.com/academy RealtyQuant Market Analytics Reports and Data - https://www.realtyquant.com/analytics RealtyQuant Website - https://www.realtyquant.com/ Stefan Tsvetkov LinkedIn - https://www.linkedin.com/in/stefantsvetkov/ The Gold Collar Investor Club - https://thegoldcollarinvestor.com/club/ Pancham Gupta Email - p@thegoldcollarinvestor.com

January 20, 2021: What are the greatest challenges around securing healthcare information today? How effective can security programs really be? Sumit Sehgal, Former Chief Technical Strategist at McAfee shows us what a good threat modeling exercise looks like and how to get your CISO, CTO and CIO working together on a cohesive strategy. Behavior mapping might not be the holy grail but what kind of things does it protect against? What's McAfee doing around alert fatigue? And with so many mergers and acquisitions going on, how do you bring two systems together safely?Key Points:Data hygiene is a problem. We need good information to feed the security system architecture so that it can produce useful data on the other side. [00:05:55] How do you get your CISO, CTO and CIO all in sync when it comes to security? [00:08:06] XDR: Extended Detection and Response [00:08:20] Machine Learning and AI process huge amounts of information in order to create a level of automation so that we can actually be responsive [00:24:25] Messaging fabrics is a way for us to share information bi-directionally in our systems for threat detection [00:28:42] McAfee

August 7, 2020: Aneesh Chopra, First CTO for the US elaborates on 21st Century Cures. How should CIO’s prepare? How do we scale an interoperability strategy that is built on the patient's right of access? Our industry finally has a chance to self organize and standardize data elements for sharing. Why have the banking, education and energy industries beaten us to the punch? How do we approach intellectual property issues? We also look at payment reform and value based care.Key Points:Data sharing policies for COVID lab reporting [00:12:36] Interoperability in support of the patient equals better health outcomes, better health and a better community. [00:13:21]One doctor who’s had an electronic record for 30 years can’t even give a list of patients who smoke because it was not a structured field in the EHR! [00:19:19] How dangerous is a compliance mindset? [00:27:47] 21st Century Cures [00:28:05] Information blocking [00:32:16]Intellectual property issues [00:33:33]Why has healthcare, 10 years after the initial data set was published, not added a single data element beyond the minimum required in the open source domain? [00:21:33]Apple Health [00:41:17]

Bruce Pon. He’s the CEO and founder of BigchainDB and he’s been playing in the crypto world. Famous Five: Favorite Book? – Mungerisms by Charlie Munger What CEO do you follow? – Vitalik Buterin Favorite online tool? — Streak CRM How many hours of sleep do you get?— At least 8 If you could let your 20-year old self, know one thing, what would it be? – “Buy bitcoin earlier”   Time Stamped Show Notes: 02:03 – Nathan introduces Bruce to the show 02:44 – Bruce built BigchainDB to manage data 02:55 – Bitcoin is a payments cryptocurrency in a global network while Ethereum is a business logic in a global network 03:11 – People pass trusted data over the blockchain network for enterprise use cases and consumer applications 03:32 – From the business logic, you can exchange bitcoin and other types of value 03:42 – The problem with the use case on top of the bitcoin blockchain 3 years ago was it didn’t scale 04:04 – Bruce was building io which is putting intellectual property into the blockchain 04:25 – You can sell your intellectual property over the network 04:48 – It was built over the bitcoin blockchain and got difficult to develop over time 04:54 – Ascribe.io needed meta data about the creative work, author and licensing model 05:04 - Ascribe.io isn’t just built for bitcoin—it’s like trying to using a Lamborghini to move your house 05:49 - Ascribe.io had AI, scientists and other PhDs who told them that building Ascribe.io wasn’t worth it 06:09 – Team size is around 20 and is based in Berlin 06:24 – BigchainDB has raised $6M in price round series A 06:41 – Open source software is traditionally a dual license model 06:53 – BigchainDB is looking at an enterprise model 07:00 – They’re looking into the ICO craze too 07:21 – BigchainDB is like a SaaS model 07:27 – They’re looking at per transaction charges but it may not work for the long-run 07:54 – BigchainDB just released their 1.0 08:08 – They give premium support 08:27 – Bruce is looking into 5-6 figures per month for their starting price point 08:58 – One-third of the work in businesses happen in the back office 09:13 – Blockchain allows you to have a single source of truth 09:29 – BigchainDB unlocks the opportunity for different organizations to have a single source of truth 09:48 – When you can make IoT, AI and blockchain tools, you can track the product from the inception until it gets to the customer’s hand 10:01 – The customer will now understand how the product is made 10:03 – The regulators will know that the product followed the guideline 10:07 – The company will know if there’s a recall or quality issue and they will know where exactly the product is 10:40 – BigchainDB can work with different kinds of products 11:20 – Blockchain is definitely auditable 11:30 – Before the product comes to you, it will be signed by entities with a cryptographic key in every process 12:00 – With AI, you can also see who is in the very process of making your product 12:34 – The key metric Bruce is measuring is the number of people that are building upon them 12:56 – Target MRR is $100K by end of 2017 13:03 – BigchainDB is currently at $50-60K MRR 13:19 – Number of customers 13:44 – There are 300 developers in BigchainDB’s channels and there are 5K clones of their software 13:54 – BigchainDB has 1K monthly downloads of their whitepaper 14:45 – The ratio of developer to clone is the 300 developers to 5K clone requests 16:05 – The Famous Five   3 Key Points: Data that is passed over the blockchain network can be used for enterprise use case and consumer applications. The beauty of blockchain is that it is auditable and has accountability capabilities. Some tools that are built over the bitcoin network won’t always work; even if you have the best people in the industry.   Resources Mentioned: Simplero – The easiest way to launch your own membership course like the big influencers do but at 1/10th the cost. The Top Inbox – The site Nathan uses to schedule emails to be sent later, set reminders in inbox, track opens, and follow-up with email sequences GetLatka - Database of all B2B SaaS companies who have been on my show including their revenue, CAC, churn, ARPU and more Klipfolio – Track your business performance across all departments for FREE Hotjar – Nathan uses Hotjar to track what you’re doing on this site. He gets a video of each user visit like where they clicked and scrolled to make the site a better experience Acuity Scheduling – Nathan uses Acuity to schedule his podcast interviews and appointments Host Gator– The site Nathan uses to buy his domain names and hosting for the cheapest price possible Audible– Nathan uses Audible when he’s driving from Austin to San Antonio (1.5-hour drive) to listen to audio books Show Notes provided by Mallard Creatives

Garth Moulton. He’s invested and has advised a number of technology startups and was responsible for revenue growth for the channel for Pipl Inc.  After 11 years of sales experience in the Bay area, Mr. Moulton had the perfect startup journey with Jigsaw, which was drawn up from 2 guys with a whiteboard to a $175M exit, in 2010, to Salesforce. Famous Five: Favorite Book? – The Speed of Trust What CEO do you follow? – Tim Ferris Favorite online tool? — LinkedIn How many hours of sleep do you get?— 6 If you could let your 20-year old self, know one thing, what would it be? – “That time is not boundless”   Time Stamped Show Notes: 01:18 – Nathan introduces Garth to the show 01:58 – Garth didn’t get depressed after Jigsaw’s exit 02:23 – Garth and Jim stayed at Salesforce for a year and a half, after the acquisition 02:43 – Pipl was running together with Jigsaw 02:48 – Garth met Pipl’s CEO during the early days of Jigsaw and they partnered together 03:03 – Pipl would drive traffic to Jigsaw 03:51 – Pipl was a typical search engine, driving traffic to partners 04:31 – In the last 3 years, Pipl was more of a data company that sold API access and basic search tools to access data and profiles to 3 channels 04:46 – First channel is a search app like Spokeo and Instant Checkmate where Pipl supplies them the data 05:19 – Second channel is fraud alert and ID validation 05:44 – Pipl checks if the email is real 05:56 – Garth overlooked the companies that were going to use the data for sales and marketing 06:18 – Pipl is partners with Full Contact 06:39 – Nathan has been trying to find the mother of data sources 06:52 – “Jigsaw was the source of the data” 07:12 – LinkedIn is still the biggest source of data for B2B 07:50 – There’s a LinkedIn private channel 08:26 – LinkedIn has gotten more and more aggressive in making the data available 08:58 – There have been CEOs who received a cease and desist order from LinkedIn 09:24 – Some of the companies are wholly dependent on LinkedIn 09:56 – Garth shares the same sentiment as Nathan that there’s no mother data source 10:31 – The Data Dinosaurs’ data accuracy is horrendous 12:30 – An average of a hundred corporations have bought the API access of Pipl 13:14 – Pipl’s business solution average price point 13:21 – $1200 a year for unlimited searches, per person 13:37 – Team size is 40 13:47 – Team location 14:15 – Pipl is bootstrapped 14:27 – Garth became interested in Pipl, because it was completely bootstrapped 15:15 – Garth had an agreement that he would come on for a couple of years and expand the channel for Pipl 15:37 – Garth is on the cap table 17:00 – The Famous Five   3 Key Points: Data sources are sharing each other’s data to grow and verify their own data—there is no mother of data sources. A company that is bootstrapped definitely has more freedom and control of their company. If you can start your business as early as you can, do it.   Resources Mentioned: The Top Inbox – The site Nathan uses to schedule emails to be sent later, set reminders in inbox, track opens, and follow-up with email sequences Organifi – The juice was Nathan’s life saver during his trip in Southeast Asia Klipfolio – Track your business performance across all departments for FREE Acuity Scheduling – Nathan uses Acuity to schedule his podcast interviews and appointments Host Gator– The site Nathan uses to buy his domain names and hosting for the cheapest price possible Audible– Nathan uses Audible when he’s driving from Austin to San Antonio (1.5-hour drive) to listen to audio books Freshbooks – Nathan doesn’t waste time so he uses Freshbooks to send out invoices and collect his money. Get your free month NOW Show Notes provided by Mallard Creatives

Guillermo Ortiz, the founder of Geek Powered Studios. Guillermo’s an ex-competitive gamer and the force behind a marketing and consulting company that focuses on data to take its clients from good to great. Listen as Nathan and Guillermo talk holistic marketing, investing in data, and why it’s good to be young and dumb. Famous Five: Favorite Book? – Scaling Up What CEO do you follow? — Will Reynolds Favourite online tool? — SEMrush Do you get 8 hours of sleep?— Yes If you could let your 20 year old self know one thing, what would it be?—I don’t know if I’d change anything. I was young and dumb and full of heart. Time Stamped Show Notes: 01:30 – Nathan’s introduction 01:49 – Welcoming Guillermo to the show 02:30 – Used to be 6th in the world at Counterstrike 03:05 – Set up strategic partnerships with small businesses 03:30 – “We try to do everything correctly rather than one thing really well” 03:40 – Monthly retainer package from $2k - $5k per month 03:55 – Handle landing pages, graphic design, facebook ads, SEO... 04:50 – Would only say no if they lacked time or resources to make the request happen 05:30 – Have 15-20 team members 05:45 – Based in Austin, Texas 06:08 – Total revenue in 2015 was $800k 06:30 – Biggest expense is subscription services 06:55 – Spent 30-40% of revenue on SaaS 07:15 – Profits last year around $100-200k 08:10 – Founded the company in 2009 while working full-time 08:30 – Left in 2012 to focus on Geek Powered Studios 09:14 – Currently around 55 clients 09:23 – MRR in 2015 about $110k 09:35 – Very high customer retention rates - focus on establishing relationships 10:15 – Optimised the keyword ‘deer antler spray’ for one client 12:20 – Now focusing on holistic awareness instead of only rankings 13:15 – Goal for 2016 is to clear $250k in profit 13:50 – Connect with Guillermo on twitter 16:20 – The Famous Five 3 Key Points: Data is the new oil. Invest in data about your company; invest in analytics. Master exactly what’s going on. Work yourself out of a job. Build a successful scalable business that can operate without you. Establish fantastic relationships with your customers. Retention and referrals come from real relationships. Resources Mentioned: Freshbooks - The site Nathan uses to manage his invoices and accounts. Host Gator – The site Nathan uses to buy his domain names and hosting for cheapest price possible. Leadpages – The drag and drop tool Nathan uses to quickly create his webinar landing pages which convert at 35%+ Audible – Nathan uses Audible when he's driving from Austin to San Antonio (1.5 hour drive) to listen to audio books. Show Notes provided by Mallard Creatives