Podcasts about ai strategy

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   How API's are the Key to Agentic AI, Q&A (Darian Chwialkowski, Third Stage Consulting) Surviving the Chaos of Digital Transformation (Darian Chwialkowski, Third Stage Consulting) How to Start an AI Tech Company   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss why enterprise generative AI projects often fail to reach production. You’ll learn why a high percentage of enterprise generative AI projects reportedly fail to make it out of pilot, uncovering the real reasons beyond just the technology. You’ll discover how crucial human factors like change management, user experience, and executive sponsorship are for successful AI implementation. You’ll explore the untapped potential of generative AI in back-office operations and process optimization, revealing how to bridge the critical implementation gap. You’ll also gain insights into the changing landscape for consultants and agencies, understanding how a strong AI strategy will secure your competitive advantage. Watch now to transform your approach to AI adoption and drive real business results! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-why-enterprise-generative-ai-projects-fail.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, the big headline everyone’s been talking about in the last week or two about generative AI is a study from MIT’s Nanda project that cited the big headline: 95% of enterprise generative AI projects never make it out of pilot. A lot of the commentary clearly shows that no one has actually read the study because the study is very good. It’s a very good study that walks through what the researchers are looking at and acknowledged the substantial limitations of the study, one of which was that it had a six-month observation period. Katie, you and I have both worked in enterprise organizations and we have had and do have enterprise clients. Some people can’t even buy a coffee machine in six months, much less route a generative AI project. Christopher S. Penn – 00:49 But what I wanted to talk about today was some of the study’s findings because they directly relate to AI strategy. So if you are not an AI ready strategist, we do have a course for that. Katie Robbert – 01:05 We do. As someone, I’ve been deep in the weeds of building this AI ready strategist course, which will be available on September 2. It’s actually up for pre-sale right now. You go to trust insights AI/AI strategy course. I just finished uploading everything this morning so hopefully I used all the correct edits and not the ones with the outtakes of me threatening to murder people if I couldn’t get the video done. Christopher S. Penn – 01:38 The bonus, actually, the director’s edition. Katie Robbert – 01:45 Oh yeah, not to get too off track, but there was a couple of times I was going through, I’m like, oops, don’t want to use that video. But back to the point, so obviously I saw the headline last week as well. I think the version that I saw was positioned as “95% of AI pilot projects fail.” Period. And so of course, as someone who’s working on trying to help people overcome that, I was curious. When I opened the article and started reading, I’m like, “Oh, well, this is misleading,” because, to be more specific, it’s not that people can’t figure out how to integrate AI into their organization, which is the problem that I help solve. Katie Robbert – 02:34 It’s that people building their own in-house tools are having a hard time getting them into production versus choosing a tool off the shelf and building process around it. That’s a very different headline. And to your point, Chris, the software development life cycle really varies and depends on the product that you’re building. So in an enterprise-sized company, the likelihood of them doing something start to finish in six months when it involves software is probably zero. Christopher S. Penn – 03:09 Exactly. When you dig into the study, particularly why pilots fail, I thought this was a super useful chart because it turns out—huge surprise—the technology is mostly not the problem. One of the concerns—model quality—is a concern. The rest of these have nothing to do with technology. The rest of these are challenging: Change management, lack of executive sponsorship, poor user experience, or unwillingness to adopt new tools. When we think about this chart, what first comes to mind is the 5 Ps, and 4 out of 5 are people. Katie Robbert – 03:48 It’s true. One of the things that we built into the new AI strategy course is a 5P readiness assessment. Because your pilot, your proof of concept, your integration—whatever it is you’re doing—is going to fail if your people are not ready for it. So you first need to assess whether or not people want to do this because that’s going to be the thing that keeps this from moving forward. One of the responses there was user experience. That’s still people. If people don’t feel they can use the thing, they’re not going to use it. If it’s not immediately intuitive, they’re not going to use it. We make those snap judgments within milliseconds. Katie Robbert – 04:39 We look at something and it’s either, “Okay, this is interesting,” or “Nope,” and then close it out. It is a technology problem, but that’s a symptom. The root is people. Christopher S. Penn – 04:52 Exactly. In the rest of the paper, in section 6, when it talks about where the wins were for companies that were successful, I thought this was interesting. Lead qualification, speed, customer retention. Sure, those are front office things, but the paper highlights that the back office is really where enterprises will win using generative AI. But no one’s investing it. People are putting all the investment up front in sales and marketing rather than in the back office. So the back office wins. Business process optimization. Elimination: $2 million to $10 million annually in customer service and document processing—especially document processing is an easy win. Agency spend reduction: 30% decrease in external, creative, and content costs. And then risk checks for financial services by doing internal risk management. Christopher S. Penn – 05:39 I thought this was super interesting, particularly for our many friends and colleagues who work at agencies, seeing that 30% decrease in agency spend is a big deal. Katie Robbert – 05:51 It’s a huge deal. And this is, if we dig into this specific line item, this is where you’re going to get a lot of those people challenges because we’re saying 30% decrease in external creative and content costs. We’re talking about our designers and our writers, and those are the two roles that have felt the most pressure of generative AI in terms of, “Will it take my job?” Because generative AI can create images and it can write content. Can it do it well? That’s pretty subjective. But can it do it? The answer is yes. Christopher S. Penn – 06:31 What I thought was interesting says these gains came without material workforce reduction. Tools accelerated work, but did not change team structures or budgets. Instead, ROI emerged from reduced external spend, limiting contracts, cutting agency fees, replacing expensive consultants with AI-powered internal capabilities. So that makes logical sense if you are spending X dollars on something, an agency that writes blog content for you. When we were back at our old PR agency, we had one firm that was spending $50,000 a month on having freelancers write content that when you and I reviewed, it was not that great. Machines would have done a better job properly prompted. Katie Robbert – 07:14 What I find interesting is it’s saying that these gains came without material workforce reduction, but that’s not totally true because you did have to cut your agency fees, which is people actually doing the work, and replacing expensive consultants with AI-powered internal capabilities. So no, you didn’t cut workforce reduction at your own company, but you cut it at someone else’s. Christopher S. Penn – 07:46 Exactly. So the red flag there for anyone who works in an agency environment or a consulting environment is how much risk are you at from AI taking your existing clients away from you? So you might not lose a client to another agency—you might lose a client to an internal AI project where if there isn’t a value add of human beings. If your agency is just cranking out templated press releases, yeah, you’re at risk. So I think one of the first things that I took away from this report is that every agency should be doing a very hard look at what value it provides and saying, “How easy is it for AI to replicate this?” Christopher S. Penn – 08:35 And if you’re an agency and you’re like, “Oh, well, we can just have AI write our blog posts and hand it off to the client.” There’s nothing stopping the client from doing that either and just getting rid of you entirely. Katie Robbert – 08:46 The other thing that sticks out to me is replacing expensive consultants with AI-powered internal capabilities. Technically, Chris, you and I are consultants, but we’re also the first ones to knock the consulting industry as a whole, because there’s a lot of smoke and mirrors in the consulting industry. There’s a lot of people who talk a big talk, have big ideas, but don’t actually do anything useful and productive. So I see this and I don’t immediately think, “Oh, we’re in trouble.” I think, “Oh, good, it’s going to clear out the rest of the noise in the industry and make way for the people who can actually do something.” Christopher S. Penn – 09:28 And that is the heart and soul, I think, for us. Obviously, we have our own vested interest in ensuring that we continue to add value to our clients. But I think you’re absolutely right that if you are good at the “why”—which is what a lot of consulting focuses on—that’s important. If you’re good at the “what”—which is more of the tactical stuff, “what are you going to do?”—that’s important. But what we see throughout this paper is the “how” is where people are getting tangled up: “How do we implement generative AI?” If you are just a navel-gazing ChatGPT expert, that “how” is going to bite you really hard really soon. Christopher S. Penn – 10:13 Because if you go and read through the rest of the paper, one of the things it talks about is the gap—the implementation gap between “here’s ChatGPT” and then for the enterprise it was like, “Well, here’s all of our data and all of our systems and all of our everything else that we want AI to talk to in a safe and secure way.” And this gap is gigantic between these two worlds. So tools like ChatGPT are being relegated to, “Let’s write more blog posts and write some press releases and stuff” instead of “help me actually get some work done with the things that I have to do in a prescribed way,” because that’s the enterprise. That gap is where consulting should be making a difference. Christopher S. Penn – 10:57 But to your point, with a lot of navel-gazing theorists, no one’s bridging that gap. Katie Robbert – 11:05 What I find interesting about the shift that we’ve seen with generative AI is we’ve almost in some ways regressed in the way that work is getting done. We’re looking at things as independent, isolated tasks versus fully baked, well-documented workflows. And we need to get back to those holistic 360-degree workflows to figure out where we can then insert something generative AI versus picking apart individual tasks and then just having AI do that. Now I do think that starting with a proof of concept on an individual task is a good idea because you need to demonstrate some kind of success. You need to show that it can do the thing, but then you need to go beyond that. It can’t just forever, to your point, be relegated to writing blog posts. Katie Robbert – 12:05 What does that look like as you start to expand it from project to program within your entire organization? Which, I don’t know if you know this, there’s a whole lesson about that in the AI strategy course. Just figured I would plug that. But all kidding aside, that’s one of the biggest challenges that I’m seeing with organizations that “disrupt” with AI is they’re still looking at individual tasks versus workflows as a whole. Christopher S. Penn – 12:45 Yep. One of the things that the paper highlighted was that the reason why a lot of these pilots fail is because either the vendor or the software doesn’t understand the actual workflow. It can do the miniature task, but it doesn’t understand the overall workflow. And we’ve actually had input calls with clients and potential clients where they’ve walked us through their workflow. And you realize AI can’t do all of it. There’s just some parts that just can’t be done by AI because in many cases it’s sneaker-net. It’s literally a human being who has to move stuff from one system to another. And there’s not an easy way to do that with generative AI. The other thing that really stood out for me in terms of bridging this divide is from a technological perspective. Christopher S. Penn – 13:35 The biggest hurdle from the technology side was cited as no memory. A tool like ChatGPT and stuff has no institutional memory. It can’t easily connect to your internal knowledge bases. And at an enterprise, that’s a really big deal. Obviously, at Trust Insights’ size—with five or four employees and a bunch of AI—we don’t have to synchronize and coordinate massive stores of institutional knowledge across the team. We all pretty much know what’s going on. When you are an IBM with 300,000 employees, that becomes a really big issue. And today’s tools, absent those connectors, don’t have that institutional memory. So they can’t unlock that value. And the good news is the technology to bridge that gap exists today. It exists today. Christopher S. Penn – 14:27 You have tools that have memory across an entire codebase, across a SharePoint instance. Et cetera. But where this breaks down is no one knows where that information is or how to connect it to these tools, and so that huge divide remains. And if you are a company that wants to unlock the value of gen AI, you have to figure out that memory problem from a platform perspective quickly. And the good news is there’s existing tools that do that. There’s vector databases and there’s a whole long list of acronyms and tongue twisters that will solve that problem for you. But the other four pieces need to be in place to do that because it requires a huge lift to get people to be willing to share their data, to do it in a secure way, and to have a measurable outcome. Katie Robbert – 15:23 It’s never a one-and-done. So who owns it? Who’s going to maintain it? What is the process to get the information in? What is the process to get the information out? But even backing up further, the purpose is why are we doing this in the first place? Are we an enterprise-sized company with so many employees that nobody knows the same information? Or am I a small solopreneur who just wants to have some protection in case something happens and I lose my memory or I want to onboard someone new and I want to do a knowledge-share? And so those are very different reasons to do it, which means that your approach is going to be slightly different as well. Katie Robbert – 16:08 But it also sounds like what you’re saying, Chris, is yes, the technology exists, but not in an easily accessible way that you could just pick up a memory stick off the shelf, plug it in, and say, “Boom, now we have memory. Go ahead and tell it everything.” Christopher S. Penn – 16:25 The paper highlights in section 6.5 where things need to go right, which is Agentic AI. In this case, Agentic AI is just fancy for, “Hey, we need to connect it to the rest of our systems.” It’s an expensive consulting word and it sounds cool. Agentic AI and agentic workflows and stuff, it really just means, “Hey, you’ve got this AI engine, but it’s not—you’re missing the rest of the car, and you need the rest of the car.” Again, the good news is the technology exists today for these tools to have access to that. But you’re blocking obstacles, not the technology. Christopher S. Penn – 17:05 Your governance is knowing where your data lives and having people who have the skills and knowledge to bring knowledge management practices into a gen AI world because it is different. It is not the same as previous knowledge management initiatives. We remember all the “in” with knowledge management was all the rage in the 90s and early 2000s with knowledge management systems and wikis and internal things and SharePoint and all that stuff, and no one ever kept it up to date. Today, Agentic can solve some of those problems, but you need to have all the other human being stuff in place. The machines can’t do it by themselves. Katie Robbert – 17:51 So yes, on paper it can solve all those problems. But no, it’s not going to. Because if we couldn’t get people to do it in a more analog way where it was really simple and literally just upload the latest document to the server or add 2 lines of detail to your code in terms of what this thing is about, adding more technology isn’t suddenly going to change that. It’s just adding another layer of something people aren’t going to do. I’m very skeptical always, and I just feel this is what’s going to mislead people. They’re like, “Oh, now I don’t have to really think about anything because the machine is just going to know what I know.” But it’s that initial setup and maintenance that people are going to skip. Katie Robbert – 18:47 So the machine’s going to know what it came out of the box with. It’s never going to know what you know because you’ve never interacted with it, you’ve never configured with it, you’ve never updated it, you’ve never given it to other people to use. It’s actually just going to become a piece of shelfware. Christopher S. Penn – 19:02 I will disagree with you there. For existing enterprise systems, specifically Copilot and Gemini. And here’s why. Those tools, assuming they’re set up properly, will have automatic access to the back-end. So they’ll have access to your document store, they’ll have access to your mail server, they’ll have access to those things so that even if people don’t—because you’re right, people ain’t going to do it. People ain’t going to document their code, they’re not going to write up detailed notes. But if the systems are properly configured—and that is a big if—it will have access to all of your Microsoft Teams transcripts, it will have access to all of your Google Meet transcripts and all that stuff. And on the back-end, without participation from the humans, it will at least have a greater scope of knowledge across your company properly configured. Christopher S. Penn – 19:50 That’s the big asterisk that will give those tools that institutional memory. Greater institutional memory than you have now, which at the average large enterprise is really siloed. Marketing has no idea what sales is doing. Sales has no idea what customer service is doing. But if you have a decent gen AI tool and a properly configured back-end infrastructure where the machines are already logging all your documents and all your spreadsheets and all this stuff, without you, the human, needing to do any work, it will generate better results because it will have access to the institutional data source. Katie Robbert – 20:30 Someone still has to set it up and maintain it. Christopher S. Penn – 20:32 Correct. Which is the whole properly configured part. Katie Robbert – 20:36 It’s funny, as you’re going through listing all of the things that it can access, my first thought is most of those transcripts aren’t going to be useful because people are going to hop on a call and instead of getting things done, they’re just going to complain about whatever their boss is asking them to do. And so the institutional knowledge is really, it’s only as good as the data you give it. And I would bet you, what is it that you like to say? A small pastry with the value of less than $5 or whatever it is. Basically, I’ll bet you a cookie that the majority of data that gets into those systems with spreadsheets and transcripts and documents and we’re saying all these things is still junk, is still unuseful. Katie Robbert – 21:23 And so you’re going to have a lot of data in there that’s still garbage because if you’re just automatically uploading everything that’s available and not being picky and not cleaning it and not setting standards, you’re still going to have junk. Christopher S. Penn – 21:37 Yes, you’ll still have junk. Or the opposite is you’ll have issues. For example, maybe you are at a tech company and somebody asks the internal Copilot, “Hey, who’s going to the Coldplay concert this weekend?” So yes, data security and stuff is going to be an equally important part of that to know that these systems have access that is provisioned well and that has granular access control. So that, say, someone can’t ask the internal Copilot, “Hey, what does the CEO get paid anyway?” Katie Robbert – 22:13 So that is definitely the other side of this. And so that gets into the other topic, which is data privacy. I remember being at the agency and our team used Slack, and we could see as admins the stats and the amount of DMs that were happening versus people talking in public channels. The ratios were all wrong because you knew everybody was back-channeling everything. And we never took the time to extract that data. But what was well-known but not really thought of is that we could have read those messages at any given time. And I think that’s something that a lot of companies take for granted is that, “Oh, well, I’m DMing someone or I’m IMing someone or I’m chatting someone, so that must be private.” Christopher S. Penn – 23:14 It’s not. All of that data is going to get used and pulled. I think we talked about this on last week’s podcast. We need to do an updated conversation and episode about data privacy. Because I think we were talking last week about bias and where these models are getting their data and what you need to be aware of in terms of the consumer giving away your data for free. Christopher S. Penn – 23:42 Yep. But equally important is having the internal data governance because “garbage in, garbage out”—that rule never changes. That is eternal. But equally true is, do the tools and the people using them have access to the appropriate data? So you need the right data to do your job. You also want to guard against having just a free-for-all, where someone can ask your internal Copilot, “Hey, what is the CEO and the HR manager doing at that Coldplay concert anyway?” Because that will be in your enterprise email, your enterprise IMs, and stuff like that. And if people are not thoughtful about what they put into work systems, you will see a lot of things. Christopher S. Penn – 24:21 I used to work at a credit union data center, and as an admin of the mail system, I had administrative rights to see the entire system. And because one of the things we had to do was scan every message for protected financial information. And boy, did I see a bunch of things that I didn’t want to see because people were using work systems for things that were not work-related. That’s not AI; it doesn’t fix that. Katie Robbert – 24:46 No. I used to work at a data-entry center for those financial systems. We were basically the company that sat on top of all those financial systems. We did the background checks, and our admin of the mail server very much abused his admin powers and would walk down the hall and say to one of the women, referencing an email that she had sent thinking it was private. So again, we’re kind of coming back to the point: these are all human issues machines are not going to fix. Katie Robbert – 25:22 Shady admins who are reading your emails or team members who are half-assing the documentation that goes into the system, or IT staff that are overloaded and don’t have time to configure this shiny new tool that you bought that’s going to suddenly solve your knowledge expertise issues. Christopher S. Penn – 25:44 Exactly. So to wrap up, the MIT study was decent. It was a decent study, and pretty much everybody misinterpreted all the results. It is worth reading, and if you’d like to read it yourself, you can. We actually posted a copy of the actual study in our Analytics for Marketers Slack group, where you and over 4,000 of the marketers are asking and answering each other’s questions every single day. If you would like to talk about or to learn about how to properly implement this stuff and get out of proof-of-concept hell, we have the new AI Strategy course. Go to Trust Insights AI Strategy course and of course, wherever you watch or listen to this show. Christopher S. Penn – 26:26 If there’s a challenge you’d rather have, go to trustinsights.ai/TIpodcast, where you can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 26:41 Know More About Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 27:33 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the So What? Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 28:39 Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Struggling to balance bold ideas with strategy in the AI era? Gain actionable ways to align marketing with business goals, harness AI for growth, and reshape your team for success.And don't forget! You can crush your marketing strategy with just a few minutes a week by signing up for the StrategyCast Newsletter. You'll receive weekly bursts of marketing tips, clips, resources, and a whole lot more. Visit https://strategycast.com/ for more details.==Let's Break It Down==05:48 Strategy: Definitions and Resource Allocation08:29 Clarity in Business Objectives12:31 Adaptive Three-Year Strategy Planning16:17 AI Talent Strategy in Sports Partnerships18:23 AI's Impact on Operational Changes20:29 Future-Proofing Workforce Strategies24:09 Focus on Deliverables and Partnerships27:58 "Predictive Sports Analysis Evolution"31:49 Live Sports Tech Demo34:11 Record-Breaking AI-Driven Engagement Event38:43 "Adapting to AI's Market Impact"==Where You Can Find Us==Website: https://strategycast.com/Instagram: https://www.instagram.com/strategy_cast/Facebook: https://www.facebook.com/strategycast==Leave a Review==Hey there, StrategyCast fans!If you've found our tips and tricks on marketing strategies helpful in growing your business, we'd be thrilled if you could take a moment to leave us a review on Apple Podcasts. Your feedback not only supports us but also helps others discover how they can elevate their business game!

1005: "Great innovations are painkillers, not vitamins." In this episode, Peter High speaks with Shez Partovi, Chief Innovation & Strategy Officer and Chief Business Leader of Enterprise Informatics at Royal Philips, a €18B global health technology leader. Shez shares how Philips is building people- and patient-centric innovation by partnering with healthcare providers, co-creating solutions, and scaling software and AI-driven insights to meet the growing demands of modern care delivery. A former AWS health exec and practicing neuroradiologist, Shez offers a unique lens on the convergence of tech and clinical practice. He outlines how Philips' software-first strategy is accelerating productivity, reducing clinician burnout, and expanding access to care while also navigating AI trust gaps and reshaping internal engineering practices. Key themes include: The strategy behind Philips' health tech transformation AI's role in automation, augmentation, and agility in care delivery Co-creation with health systems to drive scalable impact Philips' dual-speed innovation model (80% business-led, 20% moonshots)

Have you been wondering how AI fits into the world of therapy and private practice?  In this episode, I sit down with Dr. Stephanie Thrower—a psychologist, career coach, and AI educator—who's using tech to help therapists expand their impact, streamline their work, and step into new possibilities beyond one-on-one sessions. We're talking practical tools, smart marketing strategies, and how to use AI without losing your voice (or your sanity). Whether you're just getting curious or already experimenting with AI, you're going to walk away inspired and equipped. In this episode, you'll learn: How AI can save you time and energy in private practice What makes good marketing copy (and how AI can help you write it) How to use AI for content creation—without sounding robotic Why therapists should be involved in building the future of AI Resources Mentioned In This Episode  Watch on YouTube  Use the promo code “GORDON” to get 2 months of Therapy Notes free Consulting with Gordon The PsychCraft Network Meet Dr. Stephanie Thrower Stephanie Thrower is a psychologist and coach helping values-driven practitioners use AI tools to simplify marketing, scale income, and build meaningful, sustainable businesses. With a background in vocational psychology, mental health, performance psychology, and social justice, she guides clients through mindset, messaging, and system-building. Stephanie is also the creator of custom GPT tools that help therapists and coaches reclaim time, express their voice, and show up more consistently online—all while designing innovative, client-centered ways to teach and support growth in the online learning space. Website Growth Program Freebie Instagram Facebook Group

Dr. Shauna Overgaard is the Senior Director of AI Strategy & Frameworks at Mayo Clinic, where she focuses on applying AI and data science to healthcare. She also founded Clarity - Applied Intelligence and served as an Assistant Professor of Health Informatics and Information Management. She is active in several organizations like the Coalition for Health AI (CHAI) and the American Medical Informatics Association (AMIA), and is helping shape the future of AI in healthcare. With over 50 citations to her name, Dr. Overgaard has significantly contributed to AI model documentation, clinical decision support systems, and the ethical implementation of AI in healthcare. Our conversation took place in Fall 2024, and we're starting to see how a lot of these predictions played out!00:00 - Intro04:05 - From rural Canada to a Senior Director at Mayo Clinic06:30 - Innovation culture at Mayo09:22 - It takes 17 years for AI to get to the clinic?! 15:58 - Giving patients ownership over their data21:24 - Can paying patients for their data make ML models more equitable?28:55 - Is bias inescapable with AI?32:19 - Can we make AI more transparent without giving away intellectual property?35:15 - Worries about AI replacing healthcare workers36:52 - Silent Trials: beta-testing AI39:25 - So uh, how's Rochester?42:00 - What gives your life meaning?44:52 - Advice for navigating uncertain times and the AI revolutionDr. Overgaard: linkedin.com/in/shaunaovergaard/Host: Nathan KellerTwitter: @NathanKellerX Linkedin: linkedin.com/in/nathankeller1Producer: Saurin Kantesaria & Garima PuriLinkedIn: Saurin KantesariaLinkedin: linkedin.com/in/garimapuri/

AI is changing how we work. What does that mean for arts and culture? Jen Taylor, Capacity Interactive's Director of AI Strategy and Integration, shares what her research with over 100 arts leaders and administrators reveals about where the field really stands with AI: a mix of curiosity, caution, and untapped opportunity. In this episode, Jen and Monica unpack how AI can save time for under-resourced teams, how organizations can build policies that align with their missions, and why the technology should amplify—not replace—human creativity. This episode is your guide to embracing AI without losing sight of what makes the arts human. LINKS: Capacity Interactive | AI Services and The State of the Arts in 2025 Report Nonprofit Quarterly | How Nonprofits Can Create Ethical AI Policies Reuters | ChatGPT sets record for fastest-growing user base The Marketing AI Institute | 2024 State of Marketing AI Report Anthropic | AI Fluency Course Punchdrunk

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Intro to SI's, Q&A (Darian Chwialkowski, Third Stage Consulting) Everything You Need to Know about Selecting the Best Integrator (Bonnie Tinder, CEO & Founder of Raven Intel) How to Select and Implement the Right Systems Integrator   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

AI projects often fail not due to technology, but because organisations struggle with change. In this episode, we explore practical strategies for enterprise leaders to drive successful AI adoption through structured change management. Using the SHIFT framework, we cover aligning strategy with purpose, managing human emotions, integrating robust frameworks, fostering psychological safety, and turning resistance into momentum. Designed for managers, consultants, and transformation leaders, this episode provides actionable insights to accelerate adoption, build trust, and deliver measurable business impact. 

Professional services firms often face a growth ceiling — struggling to scale without losing client relationships or service quality. In this episode of the Measure Success Podcast, Carl J Cox sits down with Mohan Rao of KnownWell to discuss how AI can help break through that barrier. Mohan explains how their platform turns everyday communication data into actionable insights, helping firms identify client risks, spot expansion opportunities, and strengthen account management. We also explore the “Playing to Win” strategy framework and how it applies to service-based businesses. Tune in to learn how you can use AI to scale without sacrificing client experience.  

The United States and China are locked in a race for dominance in artificial intelligence, including its applications and diffusion. American and Chinese AI firms like OpenAI and DeepSeek respectively have captured global attention and major companies like Google and Microsoft have been actively investing in AI development. While the US currently boasts world-leading AI models, China is ahead in some areas of AI research and application. With the release of US and Chinese AI action plans in July, we may be on the cusp of a new phase in US-China AI competition.Why is AI so important for a country's global influence? What are the strengths of China's AI strategy? And what does China's new AI action plan tell us about its AI ambitions? To discuss these questions, we are joined by Owen Daniels. Owen is the Associate Director of Analysis at Georgetown's Center for Security and Emerging Technology and a Non-Resident Fellow at the Atlantic Council. His recently published article in Foreign Affairs co-authored with Hanna Dohmen -- titled China's Overlooked AI Strategy -- provides insights into how Beijing is utilizing AI to gain global dominance and what the US can and should do to sustain and bolster its lead.Timestamps[00:00] Start [02:05] US Policy Risks to Chinese AI Leadership [05:28] Deepseek and Kimi's Newest Models  [07:54] US vs. China's Approach to AI [10:42] Limitations to China's AI Strategy  [13:08] Using AI as a Soft Power Tool  [16:10] AI Action Plans  [19:34] Trump's Approach to AI Competition [22:30] Can China Lead Global AI Governance?  [25:10] Evolving US Policy for Open Models

The panel discusses Dropbox ending its password service, Sengled smart bulb Alexa support being pulled, and Apple joining other tech giants to digitize healthcare records. Chuck Joiner, David Ginsburg, Eric Bolden, Marty Jencius, Web Bixby, Brian Flanigan-Arthurs, Jim Rea, and Mark Fuccio debate interoperability challenges, Apple's evolving AI strategy and privacy trade-offs, celebrate 3 billion iPhones sold, and examine Apple's lawsuit against Apple Cinemas for trademark concerns after its San Francisco expansion.  Take Control Books brings you this edition of MacVoices. Get the answers you need now from leading experts. Show Notes: Chapters: [0:00] Introductions and Panel Banter[3:55] Public Service Announcements: Dropbox Passwords, Sengled Alexa Support[9:12] Apple Joins Push to Digitize Healthcare Records[22:15] Apple's AI Strategy and “Answers” Team Discussion[33:27] 3 Billion iPhones Sold: Milestone Reflections[38:49] Apple Lawsuit Against Apple Cinemas Expansion Links: Users left scrambling for a plan B as Dropbox drops Dropbox Passwordshttps://www.theregister.com/2025/07/30/dropbox_drops_dropbox_passwords/ Amazon yanks Sengled's Alexa skill after a series of service outageshttps://www.pcworld.com/article/2864586/amazon-yanks-sengleds-alexa-skill-after-a-series-of-service-outages.html Apple and others back government plan to digitize healthcare https://appleinsider.com/articles/25/07/30/apple-and-others-back-government-plan-to-digitize-healthcare XKCDhttps://xkcd.com/927/ Apple now looking to rival ChatGPT with a new in-house 'Answers' team: report https://9to5mac.com/2025/08/03/apple-rivaling-chatgpt-with-new-internal-team-report/ Tim Cook holds company-wide meeting to address Apple's AI woeshttps://9to5mac.com/2025/08/01/tim-cook-holds-company-wide-meeting-to-address-apples-ai-woes/ Tim Cook: Apple just sold its three-billionth iPhonehttps://9to5mac.com/2025/07/31/tim-cook-apple-just-sold-its-three-billionth-iphone/ Apple Files Lawsuit Against Owners of Apple Cinemas for Attempting to Capitalize on Its Name https://www.mactrast.com/2025/08/apple-files-lawsuit-against-owners-of-apple-cinemas-for-attempting-to-capitalize-on-its-name/ Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

The panel discusses Dropbox ending its password service, Sengled smart bulb Alexa support being pulled, and Apple joining other tech giants to digitize healthcare records. Chuck Joiner, David Ginsburg, Eric Bolden, Marty Jencius, Web Bixby, Brian Flanigan-Arthurs, Jim Rea, and Mark Fuccio debate interoperability challenges, Apple's evolving AI strategy and privacy trade-offs, celebrate 3 billion iPhones sold, and examine Apple's lawsuit against Apple Cinemas for trademark concerns after its San Francisco expansion.  Take Control Books brings you this edition of MacVoices. Get the answers you need now from leading experts. Show Notes: Chapters: [0:00] Introductions and Panel Banter [3:55] Public Service Announcements: Dropbox Passwords, Sengled Alexa Support [9:12] Apple Joins Push to Digitize Healthcare Records [22:15] Apple's AI Strategy and “Answers” Team Discussion [33:27] 3 Billion iPhones Sold: Milestone Reflections [38:49] Apple Lawsuit Against Apple Cinemas Expansion Links: Users left scrambling for a plan B as Dropbox drops Dropbox Passwords https://www.theregister.com/2025/07/30/dropbox_drops_dropbox_passwords/ Amazon yanks Sengled's Alexa skill after a series of service outages https://www.pcworld.com/article/2864586/amazon-yanks-sengleds-alexa-skill-after-a-series-of-service-outages.html Apple and others back government plan to digitize healthcare https://appleinsider.com/articles/25/07/30/apple-and-others-back-government-plan-to-digitize-healthcare XKCD https://xkcd.com/927/ Apple now looking to rival ChatGPT with a new in-house 'Answers' team: report https://9to5mac.com/2025/08/03/apple-rivaling-chatgpt-with-new-internal-team-report/ Tim Cook holds company-wide meeting to address Apple's AI woes https://9to5mac.com/2025/08/01/tim-cook-holds-company-wide-meeting-to-address-apples-ai-woes/ Tim Cook: Apple just sold its three-billionth iPhone https://9to5mac.com/2025/07/31/tim-cook-apple-just-sold-its-three-billionth-iphone/ Apple Files Lawsuit Against Owners of Apple Cinemas for Attempting to Capitalize on Its Name  https://www.mactrast.com/2025/08/apple-files-lawsuit-against-owners-of-apple-cinemas-for-attempting-to-capitalize-on-its-name/ Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Episode 254: What if the future of AI in customer experience is built not by giant platforms but by small, reusable, open source AI agents? Gurdeep Pall, President of AI Strategy at Qualtrics, believes open, modular AI agents will outmaneuver big tech's locked-down systems. In this conversation from the X4 Summit, Gurdeep argues that “experience agents”—task-specific bots that can plug into any stack—will give companies more control, better performance, and real freedom. Closed AI platforms promise convenience, but they trap businesses in rigid walled gardens. Gurdeep argues that modular architectures unlock something better: flexibility, reuse, and evolution. “Break down the agents to very specific functionality,” he says. “And those agents can be invoked by many different agents for different types of tasks.” This isn't just a tech choice. It's a business and philosophical stance. Qualtrics is partnering with LangChain and releasing open connectors to build an ecosystem of interoperable agents. The goal? Let companies mix, match, and scale customer-facing systems without depending on any one vendor. “This is one semantic level up,” he says, comparing today's agentic architectures to the launch of the web and mobile eras. “What agents are going to do for user experience—taking our digital game to the next level—is very exciting.” Guest: Gurdeep Pall, President of AI Strategy, Qualtrics Host: Rob Markey, Partner, Bain & Company Give Us Feedback: https://bit.ly/CCPodcastFeedback Time-Stamped Topics: (00:01) Why Qualtrics is going all-in on open agentic AI (00:04) An overview of the Qualtrics and LangChain partnership (00:06) The modular architecture of “experience agents” (00:08) Why one task might require seven agents (00:09) How specialization allows reuse and scale (00:10) Rejecting the walled garden model (00:11) Making open systems friction-free (00:12) A real-time use case from the X4 stage (00:14) Plug and play simplicity for complex integrations (00:15) Why this is a new digital paradigm Time-Stamped Quotes: [7:00]  “It's about how you break up the task. Like, when you call the human, the human didn't sit there and not do anything and the password got reset. The human went to a piece of software and they went and worked on it. So, what we are talking about here is the combination of software and the human, now organized most efficiently.” [8:00] “ If you're able to break down the agents to very specific functionality, then those agents can be invoked by many different agents for different types of tasks.”  [10:00] “ There is one example of a very small, open system called the Internet, which somehow, through open standards, became one of the most incredible innovations of human beings ever. So what we are trying to do is to take a stand and say, 'We believe in open systems and we want to let our customers know that this is a choice.'”

As AI becomes deeply embedded in every industry, building AI systems that are secure, responsible, and privacy-centric is more crucial than ever. But where do you begin? At the strategy level? Design? Or implementation? How do organizations tackle the challenges of AI risks, data governance, and compliance while keeping pace with innovation?Join us for an insightful conversation with Punit Bhatia and Santosh Kaveti, CEO of Pro Arch, as we explore the evolving landscape of responsible AI, key foundational steps, and the practical approaches to secure AI deployment.If you're looking to understand how to build AI systems that are not only innovative but also secure and trustworthy, this episode is for you!KEY CONVERSION 00:01:58 Responsible AI 00:04:30 AI Strategy 00:11:43 Role of standards and Approach 00:15:35 Good practices of Data Governance 00:19:55 AI Talent 00:23:10 Pro Arch Role in costumers 00:25:00 Contact Information of Santosh  ABOUT GUEST Santosh Kaveti is CEO & Founder at Proarch. With over 18 years of experience as a technologist, entrepreneur, investor, and advisor, Santosh Kaveti is the CEO and Founder of ProArch, a purpose-driven enterprise that accelerates value and increases resilience for its clients with consulting and technology services, enabled by cloud, guided by data, fueled by apps, and secured by design. Santosh's vision and leadership have propelled ProArch to become a dominant force in key industry verticals, such as Energy, Healthcare & Lifesciences, and Manufacturing, where he leverages his expertise in manufacturing process improvement, mentoring, and consulting. Operationalizing AI: From Strategy to Execution Navigating AI Risks: Ensuring Security and Compliance Prioritizing AI Initiatives: Aligning with Business Goals Attracting and Retaining Top AI Talent Integrating AI into Core Business Functions The Data Foundation: Governance, Quality, and Culture in AI  Santosh's journey is marked by resilience, ambition, and self-awareness, as he has learned from his successes and failures, and continuously evolved his skills and perspective. He has traveled across 23 countries, gaining insights into the global diversity and interconnectedness of human experiences. He is passionate about blending technology with a human-centric approach and making a meaningful societal impact through his support for initiatives that uplift underprivileged children, assist disadvantaged families, and promote social awareness.Santosh's ethos extends to his investments in and mentorship of promising startups, as well as his role as the Chairman of the Board at Enhops and iV4, two ProArch companies.  ABOUT HOST Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach professionals.  Punit is the author of books “Be Ready for GDPR' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.  RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/santoshkaveti/ , https://www.proarch.com/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy   

As brands grow more digital, the threats grow more personal. Attackers impersonate executives, spin up fake websites, and leak sensitive data — hurting business reputations and breaking customer trust. How do you defend your organization's reputation and customers' trust? Santosh Nair, Co-Founder and CTO at Styx Intelligence, joins Business Security Weekly to discuss how to defend trust and reputation in the age of AI. Santosh will cover both the company and executive challenges of defending against the latest AI attacks, including: Impersonations and Deepfakes Employee Scams Financial Fraud Segment Resources: - https://styxintel.com/blog/what-is-brand-protection/ - https://styxintel.com/blog/brand-impersonation-hurts-business/ - https://styxintel.com/blog/social-engineering-tactics/ In the leadership and communications section, Mind the overconfidence gap: CISOs and staff don't see eye to eye on security posture, Your AI Strategy Needs More Than a Single Leader, Avoid These Communication Breakdowns When Launching Strategic Initiatives, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-408

In this episode, Laura Dyrda, Vice President and Editor-in-Chief at Becker's Healthcare, shares insights on the financial trends shaping hospitals, the growing role of AI in health systems, and strategies for advancing value-based care amid ongoing industry challenges.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   SAP's $1.5 Billion Bet on AI, Q&A (Darian Chwialkowski, Third Stage Consulting) Inside a Real World SAP Implementation (Justin Rauner, CTO at Kiewit) Shocking Whistleblower Claims about S/4HANA   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

As brands grow more digital, the threats grow more personal. Attackers impersonate executives, spin up fake websites, and leak sensitive data — hurting business reputations and breaking customer trust. How do you defend your organization's reputation and customers' trust? Santosh Nair, Co-Founder and CTO at Styx Intelligence, joins Business Security Weekly to discuss how to defend trust and reputation in the age of AI. Santosh will cover both the company and executive challenges of defending against the latest AI attacks, including: Impersonations and Deepfakes Employee Scams Financial Fraud Segment Resources: - https://styxintel.com/blog/what-is-brand-protection/ - https://styxintel.com/blog/brand-impersonation-hurts-business/ - https://styxintel.com/blog/social-engineering-tactics/ In the leadership and communications section, Mind the overconfidence gap: CISOs and staff don't see eye to eye on security posture, Your AI Strategy Needs More Than a Single Leader, Avoid These Communication Breakdowns When Launching Strategic Initiatives, and more! Show Notes: https://securityweekly.com/bsw-408

The panel discusses Apple's AI talent losses amid a rumored shift to third-party models, Meta's aggressive recruitment, and speculation on Apple's long-term AI strategy. Chuck Joiner, David Ginsburg, Marty Jencius, Brian Flanigan-Arthurs, Web Bixby, Guy Serle, Jim Rea, and Jeff Gamet cover Sonos appointing Tom Conrad as CEO, Google's new AI search experiment, a significant SharePoint security breach, and controversy over the women-only Tea app following a massive data exposure and class action lawsuit.  http://traffic.libsyn.com/maclevelten/MV25213.mp3 Today's MacVoices is supported by CleanMyMac and the new Cloud Cleanup feature. Get Tidy Today! Try 7 days free and use the code MACVOICES20 for 20% off at clnmy.com/MACVOICES. Show Notes: Chapters: [0:00] Introduction and Apple AI researcher departure to Meta [2:28] Apple's AI strategy shift and market perception [5:08] Practical vs. flashy AI implementations at Apple [7:51] Perspectives on Meta's aggressive AI hiring [9:40] Interpreting Apple's AI direction and talent movement [12:15] Sonos appoints Tom Conrad as CEO [15:47] Google's new AI search product discussion [18:18] SharePoint hack impacts U.S. nuclear agency [19:23] The Tea app controversy and data exposure [27:50] Social shaming and safe spaces online [29:59] Closing remarks and support information Links: Apple just lost another AI researcher as it weighs shift to third-party models https://9to5mac.com/2025/07/29/apple-just-lost-another-ai-researcher-as-it-weighs-shift-to-third-party-models/ Sonos gets to keeps its CEO, as a treat https://www.engadget.com/big-tech/sonos-gets-to-keeps-its-ceo-as-a-treat-164559137.html Google Might Have Made an AI Search Product I Actually Like https://lifehacker.com/tech/google-ai-search-web-guide US nuclear weapons agency breached using Microsoft SharePoint hack https://www.engadget.com/cybersecurity/us-nuclear-weapons-agency-breached-using-microsoft-sharepoint-hack-120027770.html The Microsoft SharePoint breach was massive. The response has been minimal https://www.fastcompany.com/91373183/microsoft-sharepoint-breach-response-minimal Microsoft trials Copilot Mode in Edge https://www.engadget.com/ai/microsoft-trials-copilot-mode-in-edge-201851903.html The Viral 'Tea' App Just Had a Second Data Breach, and It's Even Worse https://lifehacker.com/tech/the-viral-tea-app-just-had-another-data-breach Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Guy Serle, best known for being one of the co-hosts of the MyMac Podcast, sincerely apologizes for anything he has done or caused to have happened while in possession of dangerous podcasting equipment. He should know better but being a blonde from Florida means he's probably incapable of understanding the damage he has wrought. Guy is also the author of the novel, The Maltese Cube. You can follow his exploits on Twitter, catch him on Mac to the Future on Facebook, at @Macparrot@mastodon.social, and find everything at VertShark.com. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

As brands grow more digital, the threats grow more personal. Attackers impersonate executives, spin up fake websites, and leak sensitive data — hurting business reputations and breaking customer trust. How do you defend your organization's reputation and customers' trust? Santosh Nair, Co-Founder and CTO at Styx Intelligence, joins Business Security Weekly to discuss how to defend trust and reputation in the age of AI. Santosh will cover both the company and executive challenges of defending against the latest AI attacks, including: Impersonations and Deepfakes Employee Scams Financial Fraud Segment Resources: - https://styxintel.com/blog/what-is-brand-protection/ - https://styxintel.com/blog/brand-impersonation-hurts-business/ - https://styxintel.com/blog/social-engineering-tactics/ In the leadership and communications section, Mind the overconfidence gap: CISOs and staff don't see eye to eye on security posture, Your AI Strategy Needs More Than a Single Leader, Avoid These Communication Breakdowns When Launching Strategic Initiatives, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-408

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. How does a 150,000-employee global leader make AI work at scale? In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications. From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products. Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview and Intro (01:58) Meet Julia Peyre & Her Role(03:19) Inside Schneider's AI Hub(05:51) AI in Industrial Automation & Robotics(08:43) Internal vs External AI Applications(13:54) Why Schneider Is Ahead in AI Adoption(15:57) Centralized AI Hub Model(19:38) Hybrid AI: Combining Physics & Data(25:44) Early Steps in Multi-Agent Systems(29:54) Breaking Data Silos for AI at Scale(32:02) Predictive Maintenance with Hybrid AI(37:03) Long-Term View on AI Automation(42:37) Advice for Young Professionals in AI(44:21) Framework for Evaluating AI Solutions(50:19) Involving End Users in AI Testing

 AI in Schools: Strategy Over Shiny Tools with Kyler CheathamWhen it comes to AI in school districts, rushing in without a clear why can cost millions, crush teacher buy-in, and derail your entire tech strategy.In this episode of My EdTech Life, I sit down with Kyler Cheatham, a system architecture expert in AI and predictive analytics, to break down what districts are getting wrong and how to get it right.Kyler shares hard truths about AI adoption in K-12 and higher ed:Why CTOs must own their “I don't knows”How to avoid the “move fast and break things” trapThe real cost of chasing buzzwords without solving actual problemsWhy 50% of your implementation team should be end usersHow to keep vendors honest and ensure they meet your district's needsWhether you're a district leader, tech director, or educator navigating AI, this conversation will give you the questions, strategies, and fail-safes you need before signing that next contract. 00:00 – Welcome and introduction 02:17 – Kyler's background in AI and education technology 04:26 – The toughest challenges districts face with AI adoption 07:00 – Teachers as “speedboats, tugboats, and anchors” 09:14 – Advice for CTOs feeling overwhelmed 12:32 – The dangers of rushing into AI for the sake of hype 15:43 – Why vendor partnerships can make or break implementation 20:00 – Building a core team with 50% end users 22:58 – “Phase Zero” and defining your why before selecting tools 32:21 – The AI sticker joke—and why labels aren't strategy 35:15 – Two wins and two losses Kyler sees in AI adoption 40:42 – Final advice for districts, CTOs, and vendors 46:25 – Closing thoughts and how to connect with Kyler Big thanks to our sponsors for supporting these important conversations: 

E25 - Are Lawyers Adopting AI? With David Wong and Raghu Ramanathan   In episode 25 of 'Legally Disrupted,' host Zach Abramowitz sits down with David Wong, Chief Product Officer at Thomson Reuters and Ragunath (Raghu) Ramanathan, President of Legal Professionals and Government at Thomson Reuters, to discuss the 2025 Future of Professionals Report. The conversation explores AI's increasing adoption and its impact on the legal industry.    In this episode: Discussing the Future of Professionals Report AI Adoption and Productivity Insights  Comparing In-House Legal Departments and Law Firms  AI Strategy and Leadership in Law Firms   Understanding the ROI in Law Firms   Time Savings and Efficiency Gains  Quality Improvements and Creative Benefits   Adoption Strategies in Small vs. Large Firms  Thomson Reuters' AI Strategy and Market Position Domain-Specific AI vs. General AI  References: 2025 Future of Professionals Report - https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/future-of-professionals-report-2025.pdf   Learn More: David - https://www.thomsonreuters.com/en/about-us/executive-team Raghu - https://www.trust.org/people/ragunath-ramanathan/ Zach - https://www.legallydisrupted.com/   Follow Along: David - https://ca.linkedin.com/in/dfwong Raghu - https://www.linkedin.com/in/raghunathr Zach - linkedin.com/in/zachabramowitz

This week, we discuss cloud earnings, what's driving valuations, and why AWS says it's still early innings for cloud. Plus, Coté does a deep dive on Shipley Donuts. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/7Bvu6GKJLPQ?si=Ibj_0pHyLrYJgr14) 532 (https://www.youtube.com/live/7Bvu6GKJLPQ?si=Ibj_0pHyLrYJgr14) Runner-up Titles Dangerous to do things in bed Free Donut Holes Dark Fiber BET A man can not believe anything that devalues their index funds. They just open sourced last year's homework. It doesn't use as many emdashes Anchorman Vibes Rundown AI & Cloud Trends for July 2025 (https://www.thecloudcast.net/2025/08/ai-cloud-trends-for-july-2025.html) Cloud Earnings Microsoft posts Q4 beat on top and bottom line on cloud, AI strength (https://finance.yahoo.com/news/microsoft-posts-q4-beat-on-top-and-bottom-line-on-cloud-ai-strength-200602195.html) Clouded Judgement 8.1.25 - The AI Operating Model (https://cloudedjudgement.substack.com/p/clouded-judgement-8125-the-ai-operating?utm_source=post-email-title&publication_id=56878&post_id=169283604&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Richard Seroter's Architecture Musings (https://seroter.com/) AI OpenAI's new waited model whatever (https://openai.com/index/introducing-gpt-oss/) Simon Willson says local tool calling might be better (https://simonwillison.net/2025/Aug/5/gpt-oss/) Exclusive: OpenAI Secures Another Giant Funding Deal (https://www.nytimes.com/2025/08/01/business/dealbook/openai-ai-mega-funding-deal.html?smid=nytcore-ios-share&referringSource=articleShare) OpenAI has made $5.25 billion in 2025 so far, and Anthropic $1.5bn. In both cases, I have found a pattern of deceptive leaks of annualized revenues to suggest they're making far more. (https://bsky.app/profile/edzitron.com/post/3lve3kmvt722p) Relevant to your Interests How Olipop is sweetening the PTO deal for employees (https://www.fooddive.com/news/olipop-summer-recharge-time-travel-agency/756145/) Anaconda Secures $150M Funding, Hits $1.5B Valuation (https://www.webpronews.com/anaconda-secures-150m-funding-hits-1-5b-valuation/) Figma raises $1.2 billion, creating new playbook for going public in the summer (https://www.axios.com/2025/07/31/figma-ipo-stock-adobe) AI vs. AI: Prophet Security raises $30M to replace human analysts with autonomous defenders (https://venturebeat.com/ai/ai-vs-ai-prophet-security-raises-30m-to-replace-human-analysts-with-autonomous-defenders/) API Simulation Reduces MCP Server, Microservices Overload (https://thenewstack.io/api-simulation-reduces-mcp-server-microservices-overload/) Google loses appeal in antitrust battle with Fortnite maker (https://apnews.com/article/google-antitrust-android-apps-appeal-ceba472d6882c413967f512f2dc56067) Exclusive: More details emerge on how Windsurf's VCs and founders got paid from the Google deal (https://techcrunch.com/2025/08/01/more-details-emerge-on-how-windsurfs-vcs-and-founders-got-paid-from-the-google-deal/) OpenAI is teasing a GPT-5 release. (https://www.theverge.com/news/718147/openai-teasing-gpt-5-release) Cloud Software Group to Acquire Arctera (https://www.businesswire.com/news/home/20250804310158/en/Cloud-Software-Group-to-Acquire-Arctera) For the first time, OpenAI models are available on AWS | TechCrunch (https://techcrunch.com/2025/08/05/for-the-first-time-openai-models-are-available-on-aws/) Agents or Bots? Making Sense of AI on the Open Web (https://www.linkedin.com/pulse/agents-bots-making-sense-ai-open-web-perplexity-ai-rom0c/?trackingId=WQJoQHyfuX91F3i7ywZwtw%3D%3D) Three weeks after acquiring Windsurf, Cognition offers staff the exit door (https://techcrunch.com/2025/08/05/three-weeks-after-acquiring-windsurf-cognition-offers-staff-the-exit-door/) Apple has now shipped 3 billion iPhones (https://www.engadget.com/big-tech/apple-has-now-shipped-3-billion-iphones-030851439.html) Apple Growth Rebounds on Strength of iPhone 16 Line, China (https://www.bloomberg.com/news/articles/2025-07-31/apple-revenue-tops-estimates-on-strength-of-iphone-china-market?embedded-checkout=true) Apple Earnings; Cook's AI Comments; Apple's AI Strategy, Redux (https://stratechery.com/2025/apple-earnings-cooks-ai-comments-apples-ai-strategy-redux/) Nonsense Microsoft's Windows XP Crocs are no joke (https://www.theverge.com/microsoft/717965/microsoft-crocs-windows-xp-bliss-wallpaper-theme) Listener Feedback JD recommends Charm (https://github.com/charmbracelet/crush) Conferences SpringOne (https://www.vmware.com/explore/us/springone?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/watch?v=f_xOudsmUmk). Explore 2025 US (https://www.vmware.com/explore/us?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/shorts/-COoeIJcFN4). Wiz Capture the Flag (https://www.wiz.io/events/capture-the-flag-brisbane-august-2025), Brisbane, August 26. Matt will be there. SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th to 16th, London. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: CalDigit TS4 (https://www.amazon.com/s?k=caldigit+ts4&hvadid=732096899979&hvdev=c&hvexpln=67&hvlocphy=9028322&hvnetw=g&hvocijid=7941701857307590927--&hvqmt=e&hvrand=7941701857307590927&hvtargid=kwd-1436081580619&hydadcr=24768_13517487&mcid=c0ce64ca6a893d599e949f0f42851542&tag=googhydr-20&ref=pd_sl_5zzuafk2xr_e_p67). Coté: Sunday roast at Mount St. Restaurant, London (https://mountstrestaurant.com). Internal developer platform marketing series: part one (https://thenewstack.io/driving-platform-adoption-the-missed-opportunity-of-marketing/), part two (https://thenewstack.io/driving-platform-adoption-part-2-yes-create-t-shirts-to-tout-your-brand/), and part three (https://thenewstack.io/driving-platform-adoption-community-is-your-value/). Photo Credits Header (https://unsplash.com/photos/doughnuts-on-box-7lAMbAh_Je4)

Apple's record Q3 earnings and commitment to invest heavily in AI, upcoming launch of OpenAI GPT-5, Ghost 6.0 launches with fediverse support, and we roast each other's iPhone Home Screens!Bonus Episode: Stephen's secret project, Tim Cook's 24K gold gift to Trump. Listen here!------------------------------Sponsored by:1Password: 1Password Extended Access Management is the first security solution that brings all those unmanaged devices, apps, and identities under your control. Learn more at: 1password.com/primarytech------------------------------Show Notes via EmailSign up to get exactly one email per week from the Primary Tech guys with the full episode show notes for your perusal. Click here to subscribe.------------------------------Watch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: youtube.com/@primarytechshow------------------------------Join the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fm------------------------------Support the showGet ad-free versions of the show plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here if you want chapters: primarytech.memberful.com/join------------------------------Reach out:Stephen's YouTube Channel@stephenrobles on ThreadsStephen on BlueskyStephen on Mastodon@stephenrobles on XJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on BlueskyJason on Mastodon------------------------------We would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fm------------------------------Links from the showStephen and Jason's Home ScreensPerplexity Comet Changed How I Use My Mac - YouTubeWith Just 4 Words, Tim Cook Reset Apple's AI Narrative and Reminded Everyone Why You Shouldn't Count Them OutApple Q3 2025 results and charts: $95B revenue – Six ColorsTim Cook: Apple just sold its three-billionth iPhone - 9to5MacCEO Tim Cook says Apple ready to open its wallet to catch up in AI | ReutersApple CEO Tim Cook Tells Staff AI Is ‘Ours to Grab' in Pep Talk - BloombergTim Cook says Apple ‘must' figure out AI and ‘will make the investment to do it' | The VergeApple exec says Siri will get ‘much bigger upgrade than we envisioned' - 9to5MacGoogle dunks on Apple Intelligence in new Pixel 10 ad | The VergeSam Altman Teases OpenAI DeviceApple increases U.S. commitment to $600 billion, announces ambitious program - AppleApple, Corning to manufacture all iPhone, Apple Watch cover glass in Kentucky - AppleOpenAI teases GPT-5 launch event this Thursday | The VergeHow to set up and run OpenAI's 'gpt-oss-20b' open weight model locally on your Mac - 9to5MacInstagram adds two familiar social media features to its app - 9to5MacPerplexity is using stealth, undeclared crawlers to evade website no-crawl directivesAgents or Bots? Making Sense of AI on the Open WebOne of the biggest newsletter platforms now syndicates to Bluesky and Mastodon | The VergeHulu App to Be Phased Out; 'Fully Integrating' Into Disney+OpenAI in Talks for Share Sale at $500 Billion Valuation - BloombergOpenAI's ChatGPT to hit 700 million weekly users, up 4x from last year (00:00) - Intro (03:31) - Apple Q3 Earnings (07:37) - Apple's Secret AI All-Hands (12:41) - Samsung vs iPhone Camera (19:53) - Tim Cook on Apple AI (30:38) - Apple's AI Strategy (36:30) - Sponsor: 1Password (38:40) - Apple's U.S. Manufacturing (40:07) - ChatGPT-5 Launch (43:55) ...

Join host Jim Love in this episode of Hashtag Trending as he delves into Sam Altman's sobering reflections on AI development, Starlink's new software update that enhances performance, Japan's record-breaking internet speed, and Google's innovative tool for transforming text into structured data. Plus, get a hint on what Apple might be planning in the AI space amidst mounting industry competition. Tune in for all these updates and more! 00:00 Introduction and Overview 00:36 Sam Altman and the Future of AI 02:10 Starlink's Game-Changing Update 03:44 Japan's Internet Speed Record 06:20 Google's Lang Extract: Turning Text into Data 09:27 Apple's AI Strategy and Perplexity AI 11:43 Conclusion and Farewell

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   ERP Lessons from the Frontlines of SMB Implementations, Q&A (Darian Chwialkowski, Third Stage Consulting) Why SMBs Should Embrace Bots (Nate Stroeher & Geordie McDougall, Third Stage Consulting) Shocking Reason Tech Projects Fail Every Time   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

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For this episode, let's revisit one of Strategy Skills classics, where we interviewed Kate Smaje, Senior Partner at McKinsey & Company and Global Leader of McKinsey Digital.   In this episode, Kate offers a clear-eyed and disciplined perspective on what it takes for organizations to succeed in digital transformation. Drawing from deep client work across industries, she outlines a practical, results-focused view of how digital can be embedded into the operating core, not treated as a parallel initiative or buzzword.   Kate Smaje challenges conventional narratives around innovation, urging leaders to look beyond technology adoption and focus instead on talent systems, cultural alignment, and strategic clarity. “We often start with a conversation about tech, but the value comes from the way you bring it all together,” she says. “If you think digital is the job of the digital team, you've missed the point. It's about how the whole organization behaves.”   Key Takeaways: Digital Transformation Must Be CEO-Led and Enterprise-Wide Smaje emphasizes that meaningful transformation requires the involvement of the full organization, not just IT or digital teams. “Digital is everyone's job. The companies who really succeed have a CEO and leadership team who are actively engaged.” Shift Metrics from Volume to Value She critiques outdated performance metrics: “If you're just measuring lines of code or hours worked or features shipped, you're not measuring outcomes.” Technology Without Architecture Is Just Chaos Many companies overemphasize agile practices but underinvest in foundational tech and data coherence. “You can't run 300 agile teams and not have an architecture that supports it. It's like having everyone run at speed but in different directions.” Product Ownership and Cross-Functional Clarity Are Essential Successful organizations empower teams with clear product mandates while maintaining enterprise-wide alignment. “The product owner model is about creating real accountability, with multidisciplinary teams who have the context to make decisions.” Leadership Behavior Drives Cultural Change Where leaders focus their time is a key signal: “One of the biggest indicators of success is how leadership spends its calendar.” This conversation is essential listening for senior executives who want to move beyond surface-level digital initiatives and embed durable capabilities that support both innovation and performance. Smaje leaves no doubt: digital excellence is not a side project—it's a leadership discipline.   Get Kate's book here: https://shorturl.at/hxqk6 REWIRED: The McKinsey Guide to Outcompeting in the Age of Digital and AI. Eric Lamarre, Kate Smaje, Rodney Zemmel.   Here are some free gifts for you:   Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach   McKinsey & BCG winning resume free download: www.firmsconsulting.com/resumepdf   Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

This is episode 438 of the Mobile Tech Podcast with guests Rahul Sandil (MediaTek) and Jason Howell (Android Faithful) -- brought to you by MediaTek. This episode comes in two parts. First, we explore MediaTek's AI strategy and how AI is changing the way we interact with our devices. Second (19:43), we review Samsung's Galaxy Z Fold7 and Z Flip7, then discuss the latest Galaxy, Pixel, and iPhone leaks and rumors. Finally, we cover WPC's Qi2 25W, Realme's 15 series, and other mobile tech news.Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- MediaTek: http://www.poweredbymediatek.com/ (sponsor)- MediaTek's AI strategy: https://www.mediatek.com/technology/ai- Rahul Sandil: https://www.linkedin.com/in/rahulsandil/- Jason Howell: https://www.threads.net/@thatjasonhowell- Samsung's Galaxy Z Fold7 review: https://www.androidfaithful.com/episode/all-the-dirt-on-the-z-fold-7-android-faithful-episode-105/- Samsung's Galaxy Z Flip7 review: https://www.tomsguide.com/phones/samsung-phones/samsung-galaxy-z-flip-7-hands-on-review-feels-like-flip-phone-perfection- Samsung Galaxy S26 Pro rumors: https://www.gsmarena.com/samsung_galaxy_s26s_replacement_seemingly_confirmed-news-68831.php- Google Pixel 10 series pricing leaks: https://www.gsmarena.com/google_pixel_10_familys_prices_in_the_us_and_canada_leak-news-68832.php- WPC Qi2 25W: https://9to5google.com/2025/07/23/qi2-25w-charging-speed-android-smartphones/- Apple iPhone 17 series colors leak: https://www.gsmarena.com/iphone_17_dummies_pose_with_their_updated_color_palettes-news-68824.php- Realme 15 series: https://www.gsmarena.com/realme_15_and15_pro_debut_with_more_powerful_chipsets_and_new_camearas-news-68754.phpAffiliate Links (If you use these links to buy something, we might earn a commission)- Samsung Galaxy Z Fold7: https://amzn.to/3IGlReM- Samsung Galaxy Z Flip7: https://amzn.to/3IoaGHD- Samsung Galaxy S25 Edge: https://amzn.to/43et2TD- Google Pixel 9a: https://amzn.to/3SV8fOR- Nothing Phone (3): https://amzn.to/45bPRYK

In this episode, Chris Johnstone and Steve Kyles reveal the exact process for getting ChatGPT to recommend you to high-quality mortgage leads. If you're a loan officer looking to future-proof your business and tap into the next big wave of consumer-direct traffic, this is a must-watch.   Here's what you'll learn:   How to train ChatGPT to recognize you as a local mortgage expert The daily strategy to build AI authority and boost referrals A simple, repeatable method to generate leads using prompt stacking and discoverable chats   Ready to turn AI into your #1 referral partner?   Watch the full episode now and get your 5 free prompts at https://www.loanofficerbrand.com   Subscribe for weekly mortgage marketing insights to grow your business with AI, automation, and proven referral systems.

In this week's episode of One Decision, Congressman Bill Foster — the only Ph.D. physicist in Congress — joins hosts Christina Ruffini and Sir Richard Dearlove to examine the widening gap between science and policy in Washington. Foster warns that as the U.S. defunds research and sidelines experts, it risks falling behind in the global race for technological dominance, particularly against China. From the dangers of deregulated artificial intelligence to the unclear status of Iran's nuclear program, Foster outlines the stakes of ignoring science at the highest levels of government. Episode produced by Situation Room Studios. Original music composed and produced by Leo Sidran.

In this week's episode of the Friends in Beauty Podcast, we're joined by Tomara Watkins, the powerhouse President of Buttah Skin. Tomara has been shaping the brand since 2020—first as a strategic growth consultant, and now as the executive leading its continued expansion and innovation.We dive into what it truly takes to run a fast-growing beauty brand from the inside—from managing operations and scaling strategy to staying rooted in inclusive beauty. Tomara shares the realities of upholding a founder's vision while driving business forward, what kind of structure a brand needs before stepping away from founder-led visibility, and the metrics that matter when you're scaling with intention.We also explore how Buttah Skin is incorporating AI into its strategy, and Tomara gives her candid thoughts on Black-owned beauty brands being acquired—what it means for the culture, and how founders can prepare for legacy moves.With a 12-year track record of scaling multicultural beauty and CPG brands like Bevel, Hyper Skin, and Alodia Haircare, plus a background in leading eCommerce strategy at Microsoft/Xbox, Tomara brings a powerful blend of corporate leadership, financial acumen, and authentic brand storytelling to the table. She's also a proud graduate of Howard University and the University of Pennsylvania.Whether you're a beauty pro, a founder, or just curious about what happens behind the scenes of your favorite brands—this conversation is packed with gems you won't want to miss.Enjoy this episode!Leave us a 5 star review and share this episode with a friend or 2 or 3.info@friendsinbeauty.comGET A PEEK INSIDE OF BEAUTYPRO FUNNELS HEREhttps://www.getbeautyprofunnels.com/friends

Welcome to another episode of Data Driven, where we delve deep into the crossroads of data, technology, and the ever-shifting world of geopolitics. In this packed episode, hosts Frank La Vigne and Bailey are joined by Christopher Nuland, AI technical marketing manager at Red Hat, for a candid, no-holds-barred discussion on the newly released America's AI Action Plan.Together, they tackle everything from the resurgence of Cold War tensions in the AI arena to the complexities of “AI sovereignty” and what it really means for the US, China, and the rest of the world. Expect spirited debates about EU's place in the global AI race, the real-world implications of chip supply chain disruptions, and the heated rhetoric around workforce security in an era when AI is starting to replace traditional jobs.The conversation weaves through existential questions—can AI ever truly reason, or are we just witnessing the rise of superpowered “spreadsheet goblins?”—and gets hands-on with the very real risks (and opportunities) of rolling out LLMs in everyday workplaces. Plus, the team touches on power-hungry data centers, potential impacts on the job market, and even finds time to swap sci-fi references from The Expanse to Ghost in the Shell to help paint a picture of what our AI-dominated future might look like.Buckle up for a dense, dynamic, and dangerously nerdy journey into the world of AI policy, technology, and what it means for all of us. Let's get into it!Timestamps00:00 AI Geopolitics & America's Action Plan08:14 EU's Role in Tech Hierarchy14:10 "US Focus: Securing AI Workforce"20:40 Supply Chain Security in Software24:24 Politicians' Technical Proficiency Limits27:19 AI Sovereignty and Cultural Values33:52 CHIPS Act: Innovation and Expansion Hopes38:11 "AI Vulnerability: Patch Attacks"47:58 Maryland Power Line Controversy50:09 "AI Impact on Jobs & UBI"55:47 Techno Feudalism Perspective01:04:41 "AI Sovereignty: A Geopolitical Chess Match"

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   The Impact of Trump's Tariffs, Q&A (Darian Chwialkowski, Third Stage Consulting) Redesigning the Supply Chain from the Inside Out (Jan Baan, Ema Roloff, Casey Jenkins, Will Quinn) Walmart's US Supply Chain Playbook   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Hey CX Nation,In this week's episode of The CXChronicles Podcast #262, we welcomed Pasquale DeMaio, Vice President at Amazon Web Services (AWS) based in Seattle, WA. Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.In this episode, Pasquale and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team at AWS think through on a daily basis to build world class customer experiences.**Episode #262 Highlight Reel:**1. How AWS thinks about team-building strategies  2. Leveraging Amazon Connect's Unified AI Engine  3. Streamlining customer service & success to fuel growth 4. Investing & supporting employee-driven innovation & cross-team collaboration 5. Building customer-centricity into the DNA of your engineering team Click here to learn more about Pasquale DeMaioClick here to learn more about Amazon Web Services (AWS)Huge thanks to Pasquale for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & customer success space into the future.If you enjoy The CXChronicles Podcast, stop by your favorite podcast player hit the follow button and leave us a review today.For our Spotify friends, make sure you are following CXC & please leave a 5 star review so we can find new listeners & members of our community.For our Apple friends, same deal -- follow CXCP and leave us a review letting folks know why you love our customer focused content.You know what would be even better?Go tell one of your friends or teammates about CXC's content,  strategic partners (Hubspot, Intercom, & Zendesk) & On-Demand services & invite them to join the CX Nation!Want to see how your customer experience stacks up to others, ask us about the CXC Healthzone, an intelligence platform that shares benchmarks & insights from companies across the world. Huge thanks for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

Art Hu, Global CIO at Lenovo, shares proven strategies for implementing AI at scale in one of the world's largest technology companies. Learn how to navigate uncertainty, build organizational agility, and drive real business value from AI investments.In this episode, you'll learn:Why "no regret" AI investments beat waiting for perfect solutions • How to transform fear of job loss into workforce empowerment • The framework Lenovo uses to evaluate AI opportunities across every business function • Why pull-based learning environments outperform top-down AI mandates • How software engineers are expanding beyond code to become business architectsKey insights covered:✓ Agility as competitive advantage: Accept that AI technologies chosen today won't remain cutting-edge in six months. Build organizational agility instead of seeking guaranteed outcomes.✓ Reframe the AI conversation: AI automates specific tasks within jobs, not entire positions. Leaders must help teams decompose roles and reconstruct them around uniquely human contributions.✓ Create environments, not mandates: Lenovo built hundreds of approved AI agents across legal, marketing, finance, and HR. When employees experiment with relevant tools, they naturally request advanced training.✓ Leadership requires hands-on experience: Senior executives must personally engage with AI tools to lead effectively. You cannot manage what you don't understand.Art Hu oversees technology strategy for a company selling four devices per second globally. His dual perspective as both Global CIO and Chief Delivery & Technology Officer provides unique insights into bridging the gap between AI potential and practical business outcomes.Perfect for: CIOs, CTOs, business executives, and technology leaders navigating AI transformation in their organizations.

The spotlight this week is concentrated on 4 “Magnificent 7” names: Apple, Microsoft, Amazon and Meta, with markets watching closely for updates on AI strategy, consumer trends, and cloud performance. We've had a handful of guests discuss mega cap tech stocks recently so we thought we'd include some of their insights in one episode. Show Notes:Magnificent 7 Now The Troubling 3, Underscores Market WeaknessNetflix Is Still KingMarket Sentiment Is A Powerful Thing - Joe Albano, Tech CacheHigh Conviction Ideas With Next Gen InvestorsWaiting On Tech Earnings, Don't Overplay Market SeasonalityEpisode transcriptsFor full access to analyst ratings, stock quant scores and dividend grades, subscribe to Seeking Alpha Premium at seekingalpha.com/subscriptions

Today, we're joined by Erik Huddleston, Chief Executive Officer of Aprimo, the #1 digital asset management and content operations platform. We talk about:Automating content creation, plus scaling upstream & downstream processes with brand safety agentsFramework for CEOs to think through how to best apply AI more generallyThe importance of role clarity: understanding the core activities that impact the financial planHow SaaS vendors can survive tech consolidation by being strategically relevant to the budget ownerThe importance of a good personal knowledge management system

ChatGPT Agents are here.U.S. President Trump has big plans for AI.And Google is slapping more AI on traditional search than a commercial pitchman slapping Flex Seal on a leaky boat.AI is changing how we all work. And there's way too much happening to keep track. So, that's why you should spend Mondays with us as we bring you the AI News that Matters.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Meta Considers Shift to Closed-Source AITrump Unveils National AI Policy Plan$2 Billion Seed Funding: Thinking Machines LabsGemini 2.5 Pro Launches in Google SearchGoogle AI Enables Automated Local Business CallsDeep Search Feature with Gemini 2.5 ProOpenAI ChatGPT Agents Power Multi-step AutomationChatGPT to Charge Commissions on E-commerceNew Student Study Tools: OpenAI, Google, AnthropicAnthropic Debuts Domain-Specific Financial AINvidia H20 AI Chip Exports to China ControversyTimestamps:00:00 Meta Considers Closing AI Models04:15 "Meta's AI Strategy and Open Source"08:15 Diverse Regulation Needs for AI Innovation09:42 AI Startup Surpasses $12B Valuation13:37 Google and OpenAI's AI Expansion18:41 AI Companies Target Student Demographic21:59 "Rise of Domain-Specific Models"23:47 2026 AI Model Revolution26:36 AI Export Controls and US-China Tech Race30:36 OpenAI Unveils ChatGPT Agent33:05 "Watch Mode for ChatGPT Pro"Keywords:Google AI, Gemini 2.5 Pro, Gemini AI mode, Deep search, AI-powered local calling, agentic AI capabilities, ChatGPT agents, ChatGPT agent, OpenAI, ChatGPT Pro, reasoning model, automated phone calls, local business AI calls, US AI policy, President Trump AI strategy, deregulation in AI, AI regulation, closed source AI model, Meta AI, open source vs closed source AI, superintelligence lab, Alexander Wang, Scale AI, Nvidia GPU drama, Nvidia H20 chips, AI chips export, US-China AI arms race, artificial general intelligence, AGI, ASI, Anthropic, Claude, domain specific models, financial analyst AI, financial data AI solutions, Monte Carlo simulation AI, risk modeling AI, Amazon Bedrock Agent, Microsoft Copilot Vision, multi-step task automation, virtual terminal AI, multimodal reasoning, e-commerce AI, ChatGPT shopping, AI optimization, AIO, affiliate revenue AI, education AI tools, AI study assistants, Study Together ChatGPT, Study Projects Claude, Guided Learning Gemini, enterprise AI soluSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)