Podcasts about ai strategy

ChatGPT visits surged 90% year-over-year to nearly 6 billion. Josh Blyskal, Head of AI Strategy at Profound, reveals how his team's billion-citation research shows context-driven content and strategic FAQ implementation drive 848% higher performance in AI search results. The discussion covers fanout query analysis for identifying actual LLM search patterns, prompt volume data for strategic content planning, and practical frameworks for transitioning enterprise SEO strategies to generative engine optimization before competitors dominate AI-driven discovery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

ChatGPT visits grew 90% year-over-year to nearly 6 billion. Josh Blyskal, Head of AI Strategy at Profound, reveals how enterprise teams can transition from traditional SEO to generative engine optimization before competitors gain the advantage. The discussion covers fan-out query analysis for understanding how LLMs break down complex prompts into actionable search terms, context-driven content strategies that win AI citations, and practical frameworks for implementing product feeds and structured data to capture commerce opportunities in conversational search.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Gary Shapiro has spent decades at the center of the global consumer technology industry, leading the Consumer Technology Association (CTA) and building CES into one of the most important stages for innovation, policy, and deal-making on the planet. In this first episode of 2026, Gary joins Charlie, Rony, and Ted to preview CES, unpack the explosion of AI across every category, and deliver unusually blunt takes on tariffs, China, manufacturing, and U.S. innovation policy. He explains how CES has evolved from a TV-and-gadgets show into a global platform where boards meet, standards are set, and policymakers, chip designers, robotics firms, and health-tech startups all collide.In the News: Before Gary joins, the hosts break down Nvidia's $20 billion “not-a-deal” with Singapore's Groq, the stake in Intel, and what that combo might signal about the edge of the GPU bubble and the shift toward inference compute, x86, and U.S. industrial policy. They also dig into Netflix's acquisition of Ready Player Me and what it suggests about a Netflix metaverse and location-based entertainment strategy, plus Starlink's rapid growth and an onslaught of “AI everything” products ahead of CES.Gary walks through new features at this year's show: CES Foundry at the Fontainebleau for AI and quantum, expanded tracks on manufacturing, wearables, women's health, and accessibility, plus an AI-powered show app already fielding thousands of questions (top query: where to pick up badges). He also talks candidly about his biggest concern—that fragmented state-level AI regulation (1,200+ state bills in 2025) will crush startups while big players shrug—and why he believes federal standards via NIST are the only realistic path. The discussion ranges from AI-driven healthcare and precision agriculture to robotics, demographics, labor culture, global supply chains, and what CES might look like in 2056.5 Key Takeaways from Gary:AI is now the spine of CES. CES 2026 centers on AI as infrastructure: CES Foundry at the Fontainebleau for AI + quantum, AI training tracks for strategy, implementation, agentic AI, and AI-driven marketing, and an AI-powered app helping attendees navigate the show.Fragmented state AI laws are an existential risk for startups. Over 1,200 state AI bills in 2025—including proposals to criminalize agentic AI counseling—could create a compliance maze only large incumbents can survive, which is why Gary argues for federal standards via NIST.Wearables are becoming systems, not gadgets. Oura rings, wrist devices, body sensors, and subdermal glucose monitors are starting to be designed as interoperable families of devices, with partnerships emerging to combine data into unified health services.Robotics is breaking out of the industrial niche. CES will showcase the largest robotics presence yet, moving beyond factory arms and drones to humanoids, logistics, social companions, and applied AI systems across sectors.Tariffs, alliances, and AI will reshape manufacturing. Gary is skeptical of “Fortress USA” strategies that try to onshore everything, pointing instead to allied reshoring (Latin America, Europe, Japan, South Korea) and the long-term role of AI-powered robotics in changing labor economics and global supply chains.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Whether you're a developer, designer, or just getting started, start building smarter at mattercraft.io.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to The Rose and Rockstar - with the Chief Troublemaker at Seventh Bear, Robert Rose, behind the bar serving one of his splendid cocktails, while our Rockstar CMO host Ian Truscott picks his brain on a marketing topic.  This week, as they lift their glasses to the new year, Ian and Robert dig into one of Robert's favorite predictions for 2026, and they discuss: AI strategy will be integrated into everyday business and the term 'AI strategy' will be quickly outdated. AI tool use will increasingly be driven by personal productivity, rather than by a corporate mandate. The business need for human skills augmented by AI. Using AI to make work better rather than faster. Plus, a prediction about crypto, as both Ian and Robert show that they are not crypto experts.  If you have a question for the bar or an opinion on this week's discussion, please get in touch - just search “rockstar cmo” on the interwebs or LinkedIn. Enjoy! — The Links The people: Ian Truscott on LinkedIn Robert Rose on LinkedIn Mentioned this week This Old Marketing's - 2026 Content & Marketing Predictions Robert's newsletter: Lens, his websites, robertrose.net and seventhbear.com Ian's firm - Velocity B Rockstar CMO: The Beat Newsletter that we send every Monday Rockstar CMO on the web, Twitter, and LinkedIn Previous episodes and all the show notes: Rockstar CMO FM. Track List: We'll be right back by Stienski & Mass Media on YouTube Piano Music is by Johnny Easton, shared under a Creative Commons license You can listen to this on all good podcast platforms, like Apple, Amazon and Spotify. This podcast is part of the Marketing Podcast Network Learn more about your ad choices. Visit megaphone.fm/adchoices

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 Widening IT Talent Gap, Q&A (Darian Chwialkowski, Third Stage Consulting) How Executives Are Regaining Control of Their ERP Projects (Stuart Robb, Third Stage Consulting) Why Kingfisher Said No to SAP S/4HANA   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

How prepared is your board for the speed of change with AI?There is no single AI tool that works across an organization. Employees may already be experimenting with non-sanctioned AI LLMs, often without leadership visibility or governance oversight.Listen in as host Natalie Benamou is joined by Beth Grimm, an AI Governance and Risk Expert. Beth has extensive experience in life sciences, quality, and risk management. She brings a practical, grounded perspective on what boards and senior leaders need to understand about AI literacy, oversight, and accountability as adoption accelerates.Together, they discuss why AI governance is about enabling growth while managing risk. From defining use cases before selecting platforms to recognizing where exposure shows up when employees adopt tools informally, this conversation ties AI decisions directly to board oversight, trust, and long-term value creation.This episode is essential listening for board members, executives, and leaders navigating AI decisions that carry long-term strategic and fiduciary impact.3 Key Takeaways:AI strategy begins with the problem, not the toolLeaders must define use cases, business outcomes, and KPIs before selecting platforms or signing enterprise contracts.AI governance cannot sit with one personEffective oversight requires cross-functional champions across legal, IT, business, HR, and risk, not a single owner working in isolation.Oversight is continuous, not one-and-doneAI systems require ongoing human review, monitoring, and ROI measurement to ensure they behave as intended and deliver value.You are invited to attend Assessing and Building Trust in Unregulated AI World.Join Beth Grimm, Janice C. Haith and Lisa Agapis on January 2, 2026, 12 PM CT.REGISTER Keep shining your light bright. The world needs you.Thank you Beth for being a guest and valued member of HerCsuite® and NEXT2LEAD AI.About Beth GrimmBeth Grimm works with organizations to successfully navigate complex risk landscapes and foster leadership growth. Beth is a certified AI Governance Professional through the International Association of Privacy Professionals. She builds upon a career with roles in risk management and medical governance at a major pharmaceutical company. Beth is a trained coach and volunteers as leadership coach to prepare college students to land a strong first job after graduation.Connect with Natalie BenamouNatalie Benamou is Founder of HerCsuite®, women's leadership network and portfolio career company. She also serves as President and CEO of HER HEALTHX, a nonprofit bridging the care communication gap and improving health outcomes for women.

Most companies do a few AI trainings, run some pilots, and then stall. In this episode, host Susan Diaz argues the only real future-proofing strategy is continuous AI literacy. She breaks down what "continuous literacy" actually includes (skill, judgment, workflow, norms), the predictable failure modes of the AI literacy divide, and a simple flywheel you can run monthly so capability keeps compounding. Episode summary Susan opens with a familiar pattern: a burst of AI excitement, a deck called "AI Strategy 2025" a few clever workflows… and then reality hits. Tools change. Policies shift. Vendors overpromise. Early adopters keep learning. Everyone else stalls. Her reframe is blunt: AI is not a project or a software rollout. It behaves like a language. Best practices change fast. What was smart six months ago can become a bad habit in the next six months. So future-proofing isn't about predicting what AI will do next. It's about building an organization that can keep learning without burning people out or gambling with risk. That's what continuous AI literacy is. Key takeaways Continuous AI literacy has four parts: Skill: how to use AI. Judgment: whether you should use AI. Workflow: where AI fits into the process. Norms: what's safe, allowed, expected (guardrails + governance). If training only focuses on skill, you get chaos. If it covers all four, you get adoption velocity without panic. The AI literacy divide is already here. A few people sprint. Most people watch. Leadership tries to govern what they don't fully understand. HR is stuck between "train everyone" and "we have no time". That divide creates three predictable outcomes: Shadow AI (people use tools quietly because they fear bans). Innovation theatre (lots of activity, little operational change). Champion burnout (early adopters carry the organisation and get exhausted). To future-proof, you need a continuous literacy flywheel. Not a one-off workshop. A system. Susan's flywheel starter kit (run it monthly/quarterly): Build the floor: minimum viable competence for everyone (basics of prompting, privacy, verification). Role-based lifts: train people to do their jobs better with AI (sales, HR, marketing, ops), not "AI training" in the abstract. Protect and pay champions: office hours, workflow library, recognition, and compensation so they don't become unpaid internal consultants. Package workflows: move beyond prompting into templates, SOPs, and personalized tools (repeatable cognitive automation). Measure better metrics: stop obsessing only over time saved. Track quality, speed to opportunity, risk reduction, and learning. Refresh the loop: update what changed in tools/policy, what workflows are now standard, and what failure modes to avoid. Repeat. How you know it's working: You'll hear the language change. Less "AI is scary." More "Is this a good use case?" "What's the risk?" "What's the verification step?" AI becomes boring in the best way. Standardized quality improves. Handoffs improve. Fewer heroics. A simple rubric for "good AI use": Is it safe (data + context)? Is the output verifiable? Is a human accountable? Is it repeatable enough to operationalise? Timestamps 00:02 — The pattern: training + excitement + pilots… then stall 00:28 — Vendor "agents" promises and why reality disappoints 01:09 — The only real future-proofing strategy: continuous literacy 02:06 — Reframe: AI is a language, not a project 03:50 — What continuous literacy means in practice 04:11 — The four parts: skill, judgment, workflow, norms 05:40 — Why skill-only training creates chaos 06:05 — Culture as the OS: why literacy won't stick without safety 06:35 — The literacy divide: power users sprint, others stall 07:36 — The three outcomes: shadow AI, innovation theatre, champion burnout 08:24 — Continuous literacy as a flywheel (system, not workshop) 09:02 — Step 1: build the floor (minimum viable competence) 09:58 — Step 2: role-based lifts (train jobs, not "AI") 10:47 — Step 3: champions, guardrails, office hours, and compensation 11:27 — Step 4: workflow packaging (templates, SOPs, personalised tools) 12:21 — Step 5: better metrics beyond time saved 12:50 — Step 6: refresh the loop and repeat 13:49 — How you'll know it's working: language shifts, "boring wins" 14:57 — A simple rubric: safe, verifiable, accountable, repeatable 15:42 — A practical start: 60 minutes of literacy review weekly 16:39 — Close: tools expire, literacy compounds   If you want a future-proof organization, don't build a crystal ball. Build a loop. Start this week with: 60 minutes of literacy review (what changed, what worked, what failed). Pick one workflow to package into a template or SOP. Schedule office hours so learning stays alive. Tools will expire. Literacy will compound.

Discover why AI investments often fail despite advanced tools, and how smart implementation, clean data, and team alignment turn costly mistakes into measurable wins—unlocking the true potential of AI marketing without wasted budgets or frustration.Learn more at https://www.skool.com/ai-marketing-reality/about AI Marketing Factory City: Whitby Address: 32 Lake Trail way Website: https://www.skool.com/ai-marketing-reality/about?ref=8204dd6e1e6740d5932008e363c5f46b

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   New AI Standards Group, Q&A (Darian Chwialkowski, Third Stage Consulting) Talent Mistakes That Cost CIOs Millions (Jonathan Whipple, Lander Talent) What You Need to Know About Working With Big 4 Consultants We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Stop chasing shiny objects and start driving real business outcomes. Marathon Health CTO Venkat Chittoor joins the show to explain why AI is the ultimate enabler for digital transformation but only when it is anchored by a rock solid business strategy. Essential Insights for Tech LeadersAI is not a standalone strategy. It is a powerful tool to accelerate a pre-existing business North Star. Success in digital transformation follows a specific maturity curve. Start with personal productivity, move to replacing mundane tasks, and eventually aim for cognitive automation. Governance must come before experimentation. Establishing guardrails for data privacy is critical before launching any AI pilot. Measure value through tangible efficiency gains. In healthcare, this means reducing administrative burden or "pajama time" so providers can focus on patient care. Don't let marketing speak fool you. Always validate vendor claims against your specific industry use cases. Timestamped Highlights00:50 Defining advanced primary care and the mission of Marathon Health 02:44 Why AI strategy is useless without a defined business strategy 05:01 The three steps of AI adoption from productivity to cognition 12:14 How to define success metrics for a pilot versus a scaled V1 solution 16:40 Real world ROI including call deflections and charting efficiency 21:43 Advice for leaders on data quality and avoiding vendor traps A Perspective to CarryAI is actually enabling [efficiency], but without a solid business strategy, AI strategy is not useful. Tactical Advice for the FieldWhen launching an AI initiative, focus heavily on the underlying data quality. Ensure your team accounts for data recency, accuracy, and potential biases, as these factors determine whether an experiment succeeds or fails. Start small with pilots to build muscle memory before attempting to scale complex systems. Join the ConversationIf you found these insights helpful, subscribe to the podcast for more deep dives into the tech landscape. You can also connect with Venkat Chittoor on LinkedIn to follow his work in healthcare innovation.

Jeetu Patel knows a few AI secrets. As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. And naturally, Jeetu is gonna share it all with us. The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.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:Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords:AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprisesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

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 US Software Reform Bill, Q&A (Darian Chwialkowski, Third Stage Consulting) The Inconvenient Tech Truths that Leaders Don't Want to Hear Why the Consulting Industry Is Broken We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

AI has changed the business landscape — fast.In this episode, I'm sharing how I'm thinking about AI as we move into 2026, especially after a year that felt harder than expected for a lot of coaches, consultants, and service providers.I walk you through three strategic ways I'm using AI in my own business — not as a gimmick, but as a core part of my offers, systems, and decision-making.In this episode, I cover:Why AI has temporarily shifted how people value coaching and servicesHow I use AI as a speed filter across my offersWhere AI has replaced certain team tasks — without lowering qualityMy favorite AI prompt for quality control and decision-makingWhy “just using ChatGPT to write emails” isn't enough anymoreThis isn't about doing everything with AI.It's about using it intentionally so you don't get left behind.Got questions? Email team@getcoachsocial.comOR Leave me a voicemail here so I can feature you on an upcoming episode and/or come up with creative ways to support you: http://speakpipe.com/marketingunfiltered

If your organization still views HR as the compliance cops standing by to squash complaints about an AI mandate, this episode is going to upend that thinking. David sits down with Tim Fisher—Head of AI at Black & White Zebra and longtime observer of organizational behavior—to dissect the real challenge of AI adoption in business. What he's learned from being an “HR outsider” is simple but staggering: most companies are treating AI like a tech rollout when the real work is massive human change at scale—the kind of transformation HR has always lived in, even if others failed to notice.From the cavernous disconnect between what HR is being asked to do with AI and what they're actually equipped to do, to why HR leaders must be at the table before strategy is set (not as cleanup crew), today's conversation strips away the myth of AI as just another productivity tool. Tim and David map the human, technical, and leadership gaps that are shaping every AI effort today—and why success in 2026 will look nothing like a rushed compliance sprint.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsCheck out this episode's sponsor: Intuit QuickBooks PayrollConnect with Tim on LinkedInCheck out Black & White ZebraSupport the show

Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn't just faster coding—it's building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota's Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.

In this episode of the Shift AI Podcast, Michael Domanic, Head of AI at UserTesting, joins host Boaz Ashkenazy to explore how companies can successfully transform their organizations with AI. With over 800 custom GPTs built across UserTesting and nearly every employee actively using AI tools, Michael shares the framework behind one of the most successful enterprise AI transformations happening today.From his early days designing chatbots during the first AI hype cycle to leading transformation at scale today, Michael offers invaluable insights into why AI transformation is fundamentally a change management and creative challenge—not just a technological one. The conversation delves into the responsibility companies have to their workforce during this historic transformation, the importance of democratizing AI access, and why focusing on human creativity and experimentation is the key to unlocking real value. If you're looking to understand how to drive meaningful AI adoption in your organization while keeping humanity at the center, this episode is essential listening.Chapters:[00:00] The Human Side of AI and Creativity[02:00] Michael's Background and the First Chatbot Wave[04:00] First Jobs: From Lifeguard to Telemarketer[05:00] What is UserTesting and How It Works[08:00] The Challenge of Enterprise AI Adoption[11:00] Why Multiple AI Models and 800+ Custom GPTs[15:00] Change Management Over Technology[19:00] AI's Impact on Jobs and Employee Responsibility[22:00] Growth Mindset vs. Scarcity in AI Strategy[24:00] Healthcare and the Future of AI[27:00] Two Words for the Future: Human and Creativity[29:00] Measuring ROI in AI TransformationConnect with Michael DomanicLinkedIn: https://linkedin.com/in/michaeldomanic/Connect with Boaz AshkenazyLinkedIn: https://linkedin.com/in/boazashkenazyEmail: info@shiftai.fm

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   New Software Pricing Models in the Enterprise Tech Space, Q&A (Darian Chwialkowski, Third Stage Consulting) How to Rescue a Troubled Digital Transformation Project How to Create a Realistic Implementation Plan for Your Project   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode, Nathan and Scott talk about how quickly AI is changing the fundraising world. They look back at 2025 and think about what 2026 might bring. Nathan points out that no one expected AI to advance this quickly in just three years, and both agree that staying curious and adaptable is essential.  They share real examples, such as Nathan's young sons building apps, to show how easy it is to use AI tools. They also discuss AI's impact on jobs, with reports suggesting that nearly 12% of the US workforce could be affected.   A big part of the episode focuses on agentic AI—AI that can perform complex tasks on its own—and "vibe coding," which lets people build apps simply by talking to their computer. They also discuss Google's Gemini 3 and tools such as Notebook LM that make creating content faster and easier.  To wrap up, Nathan and Scott encourage listeners to stay open-minded, keep learning, and make the most of new AI opportunities as we head into 2026.  HIGHLIGHTS [05:05] AI's Impact on the Workforce and Personal Experiences   [08:03] The Role of Agentic AI and Vibe Coding   [21:14] Google's Gemini 3 and AI Integration   [30:10] AI Strategy and Ethical Considerations   [32:03] Looking Ahead to 2026 and Beyond  Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/ 

Fear says AI will replace you; focus proves it can finally give you your time back. We sit down with AI and data strategist Vlada Mentik to unpack how solo founders and small teams can cut through the hype, start small, and build systems that free up hours for high-value work. The throughline is simple but powerful: mindset first, tools second. When you stop chasing shiny features and begin with a clear problem, a tiny workflow, and rich context, AI becomes a calm advantage rather than another source of stress.Vlada shares a practical roadmap for getting started: choose the task you dread, map the steps in plain language, and ship one working automation before you add another. We get into the biggest traps—tool-first thinking, generic prompts, and automating chaos—and show how to avoid them with human-in-the-loop design, purposeful data, and small wins that compound. You'll hear a standout example of automating client onboarding to make space for personal video welcomes that boost conversions and trust. We also explore data minimalism, arguing for intentional data over petabytes, and how faster, good-enough decisions often beat late, perfect ones.Productivity gets a refresh here. It's not about doing more; it's about doing better—creating room to think, rest, and ship higher-quality work. We touch on no-code for prototyping and when to code for scale, why sharing prompts lifts team performance, and how transparency and sustainability factor into responsible AI use. The conversation closes with a crucial reminder: AI doesn't think or create; you do. Treat it like a translator that amplifies your taste and strategy, and you'll build leaner, smarter workflows without losing the human touch.If this helped you see a cleaner path to practical AI, subscribe, share it with a friend, and leave a quick review—what's the first task you'll automate this week?Send us a textCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats. The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.

Dr. Steve Mancini: https://www.linkedin.com/in/dr-steve-m-b59a525/Marco Ciappelli: https://www.marcociappelli.com/Nothing Has Changed in Cybersecurity Since War Games — And That's Why We're in Trouble"Nothing has changed."That's not what you expect to hear from someone with four decades in cybersecurity. The industry thrives on selling the next revolution, the newest threat, the latest solution. But Dr. Steve Mancini—cybersecurity professor, Homeland Security veteran, and Italy's Honorary Consul in Pittsburgh—wasn't buying any of it. And honestly? Neither was I.He took me back to his Commodore 64 days, writing basic war dialers after watching War Games. The method? Dial numbers, find an open line, try passwords until one works. Translate that to today: run an Nmap scan, find an open port, brute force your way in. The principle is identical. Only the speed has changed.This resonated deeply with how I think about our Hybrid Analog Digital Society. We're so consumed with the digital evolution—the folding screens, the AI assistants, the cloud computing—that we forget the human vulnerabilities underneath remain stubbornly analog. Social engineering worked in the 1930s, it worked when I was a kid in Florence, and it works today in your inbox.Steve shared a story about a family member who received a scam call. The caller asked if their social security number "had a six in it." A one-in-nine guess. Yet that simple psychological trick led to remote software being installed on their computer. Technology gets smarter; human psychology stays the same.What struck me most was his observation about his students—a generation so immersed in technology that they've become numb to breaches. "So what?" has become the default response. The data sells, the breaches happen, you get two years of free credit monitoring, and life goes on. Groundhog Day.But the deeper concern isn't the breaches. It's what this technological immersion is doing to our capacity for critical thinking, for human instinct. Steve pointed out something that should unsettle us: the algorithms feeding content to young minds are designed for addiction, manipulating brain chemistry with endorphin kicks from endless scrolling. We won't know the full effects of a generation raised on smartphones until they're forty, having scrolled through social media for thirty years.I asked what we can do. His answer was simple but profound: humans need to decide how much they want technology in their lives. Parents putting smartphones in six-year-olds' hands might want to reconsider. Schools clinging to the idea that they're "teaching technology" miss the point—students already know the apps better than their professors. What they don't know is how to think without them.He's gone back to paper and pencil tests. Old school. Because when the power goes out—literally or metaphorically—you need a brain that works independently.Ancient cultures, Steve reminded me, built civilizations with nothing but their minds, parchment, and each other. They were, in many ways, a thousand times smarter than us because they had no crutches. Now we call our smartphones "smart" while they make us incrementally dumber.This isn't anti-technology doom-saying. Neither Steve nor I oppose technological progress. The conversation acknowledged AI's genuine benefits in medicine, in solving specific problems. But this relentless push for the "easy button"—the promise that you don't have to think, just click—that's where we lose something essential.The ultimate breach, we concluded, isn't someone stealing your data. It's breaching the mind itself. When we can no longer think, reason, or function without the device in our pocket, the hackers have already won—and they didn't need to write a single line of code.Subscribe to the Redefining Society and Technology podcast. Stay curious. Stay human.My Newsletter? Yes, of course, it is here: https://www.linkedin.com/newsletters/7079849705156870144/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Franchise Fit Podcast (formerly Eye on Franchising) returns with a powerhouse episode on the future of influencer marketing in franchising — featuring two industry icons: Angela Olea (Founder & CEO, Sweet Influencers) and Liberty Bernal (President & COO, Sweet Influencers).If you've ever wondered how AI, micro-influencers, and real UGC content will transform franchise growth, this is your episode.From the early days of Blackberries, Yellow Page ads, and landlines to AI-powered influencer campaigns… marketing has changed forever. And Sweet Influencers is leading the next wave.Whether you're a franchisor, franchisee, or future business owner — this episode reveals how influencer marketing REALLY works, how campaigns are matched to the right audience, why micro-influencers drive massive ROI, and how AI now predicts what content will actually convert.This episode is sponsored by SEO Samba — AI-Driven, Predictable Franchise Marketing Success.

In this episode of Screaming in the Cloud, Corey Quinn sits down with Rubrik's GM of AI, Dev Rishi, to unpack the real story behind enterprise AI adoption, the rise of agentic systems, and why most organizations are still stuck in read-only mode. Dev breaks down how Rubrik's Agent Rewind brings safety, observability, and resilience to AI-driven actions, solving the “Oh no, the agent deleted production data” problem before it happens. From deep learning's evolution to the massive gap between consumer AI enthusiasm and enterprise risk posture, this conversation is a candid, insightful look at the AI future Global 2000 companies are racing toward… or cautiously tiptoeing into.Show Highlights(00:25) Understanding Rubrik and Agent Rewind(00:50) Challenges in AI and Disaster Recovery(01:27) Guest Introduction: Dev Rishi from Rubrik(01:44) The Evolution of AI in Enterprises(02:33) Starting an AI Company: The Backstory(05:10) Generative AI and Its Impact(07:15) Enterprise AI Trends and Challenges(08:56) The Future of Agentic AI(18:03) AI in Customer Support(22:03) Rubrik's Acquisition and AI Strategy(29:30) Launching Rubrik Agent Cloud(31:26) Lessons from Starting a Machine Learning Company(35:25) Conclusion and Contact InformationSponsor:Rubrik: https://www.rubrik.com/sitc

John Giannandrea is stepping down from his role as VP for Machine Learning & AI Strategy and retiring in Spring 2026! Could Apple re-partner with Intel on a future product? Apple overtakes Samsung as the world's top phone maker. And Apple's new holiday season TV ad charms the panel! John Giannandrea to retire from Apple. From Ming-Chi Kuo: "Intel expected to begin shipping Apple's lowest-end M processor as early as 2027..." Apple to resist India order to preload state-run app as political outcry builds. Apple set to become world's top phone maker, overtaking Samsung. EU to examine if Apple Ads and Maps subject to tough rules, Apple says no. Apple releases 2025 holiday season TV ad: 'A Critter Carol'. Apple Music replay 2025 now fully available. Apple security bounties slashed as Mac malware grows. MKBHD's wallpaper app Panels is shutting down. Apple TV series The Hunt postponed due to plagiarism allegations. Apple TV debuts trailer for all-new holiday special "The First Snow of Fraggle Rock," premiering globally Friday, December 5. Apple and (RED) announce limited-time $3M Apple Pay partnership. After Apple originally announced the first version of Halo in 1999, Xbox apparently called Bungie and said 'Steve Jobs can't have that. We're going to buy you.' David Lerner, a Mr. Fix-it of Apple computers, dies at 72. 34 years ago, Apple created a multimedia file format for the Mac, and it's still all around us. Picks of the Week Alex's Pick: Logic Pro for iPad Andy's Pick: 'I Made Apple's Widget Clock" Jason's Pick: Govee Christmas Lights 2 Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit 1password.com/macbreak zocdoc.com/macbreak framer.com/design promo code MACBREAK

Amazon used AWS re:Invent to clarify where it actually fits in the rapidly shifting AI landscape, revealing a strategy built around practical multimodality, enterprise-first customization, and a long-term bet on specialized agents. This episode breaks down what Amazon announced, what changed, what didn't, and what the updates really mean for enterprise teams navigating their AI stacks. Plus: OpenAI's new pre-training progress, Anthropic's alien-tech momentum, Mistral's sprawling new lineup, and the latest moves in the race toward IPOs. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

John Giannandrea is stepping down from his role as VP for Machine Learning & AI Strategy and retiring in Spring 2026! Could Apple re-partner with Intel on a future product? Apple overtakes Samsung as the world's top phone maker. And Apple's new holiday season TV ad charms the panel! John Giannandrea to retire from Apple. From Ming-Chi Kuo: "Intel expected to begin shipping Apple's lowest-end M processor as early as 2027..." Apple to resist India order to preload state-run app as political outcry builds. Apple set to become world's top phone maker, overtaking Samsung. EU to examine if Apple Ads and Maps subject to tough rules, Apple says no. Apple releases 2025 holiday season TV ad: 'A Critter Carol'. Apple Music replay 2025 now fully available. Apple security bounties slashed as Mac malware grows. MKBHD's wallpaper app Panels is shutting down. Apple TV series The Hunt postponed due to plagiarism allegations. Apple TV debuts trailer for all-new holiday special "The First Snow of Fraggle Rock," premiering globally Friday, December 5. Apple and (RED) announce limited-time $3M Apple Pay partnership. After Apple originally announced the first version of Halo in 1999, Xbox apparently called Bungie and said 'Steve Jobs can't have that. We're going to buy you.' David Lerner, a Mr. Fix-it of Apple computers, dies at 72. 34 years ago, Apple created a multimedia file format for the Mac, and it's still all around us. Picks of the Week Alex's Pick: Logic Pro for iPad Andy's Pick: 'I Made Apple's Widget Clock" Jason's Pick: Govee Christmas Lights 2 Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit 1password.com/macbreak zocdoc.com/macbreak framer.com/design promo code MACBREAK

John Giannandrea is stepping down from his role as VP for Machine Learning & AI Strategy and retiring in Spring 2026! Could Apple re-partner with Intel on a future product? Apple overtakes Samsung as the world's top phone maker. And Apple's new holiday season TV ad charms the panel! John Giannandrea to retire from Apple. From Ming-Chi Kuo: "Intel expected to begin shipping Apple's lowest-end M processor as early as 2027..." Apple to resist India order to preload state-run app as political outcry builds. Apple set to become world's top phone maker, overtaking Samsung. EU to examine if Apple Ads and Maps subject to tough rules, Apple says no. Apple releases 2025 holiday season TV ad: 'A Critter Carol'. Apple Music replay 2025 now fully available. Apple security bounties slashed as Mac malware grows. MKBHD's wallpaper app Panels is shutting down. Apple TV series The Hunt postponed due to plagiarism allegations. Apple TV debuts trailer for all-new holiday special "The First Snow of Fraggle Rock," premiering globally Friday, December 5. Apple and (RED) announce limited-time $3M Apple Pay partnership. After Apple originally announced the first version of Halo in 1999, Xbox apparently called Bungie and said 'Steve Jobs can't have that. We're going to buy you.' David Lerner, a Mr. Fix-it of Apple computers, dies at 72. 34 years ago, Apple created a multimedia file format for the Mac, and it's still all around us. Picks of the Week Alex's Pick: Logic Pro for iPad Andy's Pick: 'I Made Apple's Widget Clock" Jason's Pick: Govee Christmas Lights 2 Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit 1password.com/macbreak zocdoc.com/macbreak framer.com/design promo code MACBREAK

John Giannandrea is stepping down from his role as VP for Machine Learning & AI Strategy and retiring in Spring 2026! Could Apple re-partner with Intel on a future product? Apple overtakes Samsung as the world's top phone maker. And Apple's new holiday season TV ad charms the panel! John Giannandrea to retire from Apple. From Ming-Chi Kuo: "Intel expected to begin shipping Apple's lowest-end M processor as early as 2027..." Apple to resist India order to preload state-run app as political outcry builds. Apple set to become world's top phone maker, overtaking Samsung. EU to examine if Apple Ads and Maps subject to tough rules, Apple says no. Apple releases 2025 holiday season TV ad: 'A Critter Carol'. Apple Music replay 2025 now fully available. Apple security bounties slashed as Mac malware grows. MKBHD's wallpaper app Panels is shutting down. Apple TV series The Hunt postponed due to plagiarism allegations. Apple TV debuts trailer for all-new holiday special "The First Snow of Fraggle Rock," premiering globally Friday, December 5. Apple and (RED) announce limited-time $3M Apple Pay partnership. After Apple originally announced the first version of Halo in 1999, Xbox apparently called Bungie and said 'Steve Jobs can't have that. We're going to buy you.' David Lerner, a Mr. Fix-it of Apple computers, dies at 72. 34 years ago, Apple created a multimedia file format for the Mac, and it's still all around us. Picks of the Week Alex's Pick: Logic Pro for iPad Andy's Pick: 'I Made Apple's Widget Clock" Jason's Pick: Govee Christmas Lights 2 Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit 1password.com/macbreak zocdoc.com/macbreak framer.com/design promo code MACBREAK

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: India's New Data Privacy Rules, Q&A (Darian Chwialkowski, Third Stage Consulting) Digital Transformation Trends and Predictions For 2026 The Difference Between Project Management and Program Management We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

John Giannandrea is stepping down from his role as VP for Machine Learning & AI Strategy and retiring in Spring 2026! Could Apple re-partner with Intel on a future product? Apple overtakes Samsung as the world's top phone maker. And Apple's new holiday season TV ad charms the panel! John Giannandrea to retire from Apple. From Ming-Chi Kuo: "Intel expected to begin shipping Apple's lowest-end M processor as early as 2027..." Apple to resist India order to preload state-run app as political outcry builds. Apple set to become world's top phone maker, overtaking Samsung. EU to examine if Apple Ads and Maps subject to tough rules, Apple says no. Apple releases 2025 holiday season TV ad: 'A Critter Carol'. Apple Music replay 2025 now fully available. Apple security bounties slashed as Mac malware grows. MKBHD's wallpaper app Panels is shutting down. Apple TV series The Hunt postponed due to plagiarism allegations. Apple TV debuts trailer for all-new holiday special "The First Snow of Fraggle Rock," premiering globally Friday, December 5. Apple and (RED) announce limited-time $3M Apple Pay partnership. After Apple originally announced the first version of Halo in 1999, Xbox apparently called Bungie and said 'Steve Jobs can't have that. We're going to buy you.' David Lerner, a Mr. Fix-it of Apple computers, dies at 72. 34 years ago, Apple created a multimedia file format for the Mac, and it's still all around us. Picks of the Week Alex's Pick: Logic Pro for iPad Andy's Pick: 'I Made Apple's Widget Clock" Jason's Pick: Govee Christmas Lights 2 Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit 1password.com/macbreak zocdoc.com/macbreak framer.com/design promo code MACBREAK

Tim is the CEO and Founder of BTP, an AI Strategy consulting firm devoted to helping private equity firms and other clients understand and develop a competitive advantage by leveraging artificial intelligence.  Tim is a clear thinker on what AI is, and what it isn't.   Discussion begins with Tim's well-traveled boyhood as the son of an oil executive, followed by college lat Texas Tech and a career helping sales forces optimize technology. Key takeaways:  (1) a surprising number of financial firms are only scratching the surface in their AI usage and (2) those who have embraced AI are using it in rapidly evolving ways. Once again, Middle Market Musings goes where the puck is headed!  

In this conversation, AI leaders Beth White and Vince Freeman break down what is actually happening inside companies as they attempt to adopt AI. They explore why so many pilots fall short, how individual employees are often ahead of organizational strategies, and why success depends less on tools and more on mindset, literacy, and culture. They share practical insights on building AI strategy with purpose, including who should be involved, how to identify the right problems to automate, and why HR plays a critical role in workforce transformation. The discussion highlights the importance of empowering people, creating trust, and moving beyond traditional cost metrics to understand where AI creates the most value. Additional Resources: Connect with Beth on LinkedIn: https://www.linkedin.com/in/whitebeth/ Connect with Vince on LinkedIn: https://www.linkedin.com/in/vince-freeman-55ba152/ Join the PFN Community! Watch the Working Forward Podcast on YouTube! Connect with Jason on LinkedIn: https://www.linkedin.com/in/jason-d-cochran/ Follow PeopleForward Network on LinkedIn: https://www.linkedin.com/company/peopleforward-network/posts/?feedView=all Learn more about PeopleForward Network: https://peopleforwardnetwork.com/ Key Takeaways: Most AI pilots fail because companies jump in without clear goals or realistic timelines. Smaller, focused use cases with the right tools lead to faster wins. Real impact is in operational efficiency, not just sales or revenue. Adoption improves when employees trust the process and see how AI helps their role. Success should measure productivity, agility, and growth, not just cost savings.  

Companies keep approaching AI the way they approached every other tech rollout: install it, train on it, expect immediate returns. But AI isn't software. It's imperfect by design, doesn't follow a predictable implementation curve, and the gap between what leadership promised the board and what's actually happening is becoming a serious problem. In this episode of The Trending Communicator, host Dan Nestle sits down with Chris Gee, founder of Chris Gee Consulting and strategic advisor to Ragan's Center for AI Strategy. Chris has survived four career reinventions driven by technological disruption—from watching his graphic design degree become obsolete the day he graduated to now helping organizations navigate the shift to agentic AI. His motto, "copilot, not autopilot," frames the entire conversation. Chris and Dan dig into why AI adoption is stalling—because companies are treating transformation like a switch to flip rather than a capability to build. They explore the parallel to 1993's Internet boom and why the adoption curve is right on schedule despite executive frustration. The conversation gets practical: Chris shares how he built an AI agent named "Alexa Irving" for client onboarding, and they tackle whether doom-and-gloom predictions from AI CEOs are helping or hurting the people who actually need to use these tools. Listen in and hear about... Why the adoption curve for AI mirrors the early Internet The $17 trillion argument against AI replacing all jobs (hint: someone has to buy things) How prompting skills aren't going away Building agentic AI with guardrails: Chris's "Alexa Irving" experiment Why "copilot, not autopilot" is more than a slogan—it's a survival strategy The skills gap nobody's addressing and why we need more brains who understand AI, not fewer Notable Quotes "My motto is copilot, not autopilot. I wholeheartedly believe that we are going to make the most progress using AI in tandem—where humans focus on the things that we do well and we use AI for the things it does better than we do." — Chris Gee [04:19] "17 is $17 trillion—that's what the American consumer spends per year. 70 is the percentage of US GDP that represents. And zero is the amount of money that AI chatbots, LLMs, and agents have to spend." — Chris Gee [23:57] "Your ability was never simply in your ability to string together words and phrases, but to translate experiences or emotions and create connection with other humans." — Chris Gee [36:44] "It's not thinking and it never will be thinking. So if we understand that, then we understand it won't be thinking like a human." — Chris Gee [1:07:00] Resources and Links Dan Nestle Inquisitive Communications | Website The Trending Communicator | Website Communications Trends from Trending Communicators | Dan Nestle's Substack Dan Nestle | LinkedIn Chris Gee Chris Gee Consulting | chrisgee.me Chris Gee | LinkedIn The Intelligent Communicator Newsletter | chrisgee.me (sign up on website) Timestamps 0:00:00 AI Transformation: Hype vs. Reality in Communications0:06:00 Human Touch vs. Automation in Service Jobs0:12:40 Early Career Transformation & Adapting to Technology0:18:00 AI Adoption Curve: Early Adopters and Laggards0:23:30 Tech Disruption, Job Fears, and Economic Impact0:29:10 Prompting and Obstacles to AI Adoption0:34:45 Redefining Skill Sets & Human Value with AI0:40:45 Efficiency, Productivity, and Creativity with AI Tools0:46:20 Rethinking Work: Flexible Schedules & Four-Day Weeks0:51:39 Practical AI Use Cases: Experiment and Upgrade0:55:11 Agentic AI: Autonomous Agents and Guardrails1:01:29 Autonomous Agents: Oversight, Guardrails, and Risks1:08:15 AI Is Imperfect: Why Human Judgment Remains Essential1:14:16 AI Quirks, Prompting Challenges, and Adoption Friction1:19:41 Wrap-Up: Finding Chris Gee & Newsletter/Prompt Suggestions1:21:18 Final Thoughts & Episode Closing (Notes co-created by Human Dan, Claude, and Castmagic) Learn more about your ad choices. Visit megaphone.fm/adchoices

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Zimmer Biomet's $172 Million SAP Failure, Q&A (Darian Chwialkowski, Third Stage Consulting) The Digital Transformation Playbook for 2026 $10 Million is Being Invested in Portugal's AI Data Hub   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Author Kate O'Neill's Book "What Matters Next": AI, Meaning, and Why We Can't Delegate Creativity | Redefining Society and Technology with Marco CiappelliKate O'Neill: https://www.koinsights.com/books/what-matters-next-book/Marco Ciappelli: https://www.marcociappelli.com/ When Kate O'Neill tells me that AI's most statistically probable outcome is actually its least meaningful one, I realize we're talking about something information theory has known for decades - but nobody's applying to the way we're using ChatGPT.She's a linguist who became a tech pioneer, one of Netflix's first hundred employees, someone who saw the first graphical web browser and got chills knowing everything was about to change. Her new book "What Matters Next" isn't another panic piece about AI or a blind celebration of automation. It's asking the question nobody seems to want to answer: what happens when we optimize for probability instead of meaning?I've been wrestling with this myself. The more I use AI tools for content, analysis, brainstorming - the more I notice something's missing. The creativity isn't there. It's brilliant for summarization, execution, repetitive tasks. But there's a flatness to it, a regression to the mean that strips away the very thing that makes human communication worth having.Kate puts it plainly: "There is nothing more human than meaning-making. From semantic meaning all the way out to the philosophical, cosmic worldview - what matters and why we're here."Every time we hit "generate" and just accept what the algorithm produces, we're choosing efficiency over meaning. We're delegating the creative process to a system optimized for statistical likelihood, not significance.She laughs when I tell her about my own paradox - that AI sometimes takes MORE time, not less. There's this old developer concept called "yak shaving," where you spend ten times longer writing a program to automate five steps instead of just doing them. But the real insight isn't about time management. It's about understanding the relationship between our thoughts and the tools we use to express them.In her book "What Matters Next," Kate's message is that we need to stay in the loop. Use AI for ugly first drafts, sure. Let it expedite workflow. But keep going back and forth, inserting yourself, bringing meaning and purpose back into the process. Otherwise, we create what she calls "garbage that none of us want to exist in the world with."I wrote recently about the paradox of learning when we rely entirely on machines. If AI only knows what we've done in the past, and we don't inject new meaning into that loop, it becomes closed. It's like doomscrolling through algorithms that only feed you what you already like - you never discover anything new, never grow, never challenge yourself.We're living in a Hybrid Analog Digital Society where these tools are unavoidable and genuinely powerful. The question isn't whether to use them. It's how to use them in ways that amplify human creativity rather than flatten it, that enhance meaning rather than optimize it away.The dominant narrative right now is efficiency, productivity, automation. But what if the real value isn't doing things faster - it's doing things that actually matter? Technology should serve humanity's purpose. Not the other way around. And that purpose can't be dictated by algorithms trained on statistical likelihood. It has to come from us, from the messy, unpredictable, meaningful work of being human.My Newsletter? Yes, of course, it is here: https://www.linkedin.com/newsletters/7079849705156870144/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As companies race to adopt AI, many overlook the hardest part — the human one. In this conversation, we unpack the principles behind Humanizing AI Strategy and discuss how creativity, critical thinking, and cross-functional collaboration shape the success of any AI initiative. This episode is for decision-makers who want AI that works in the real world, helping them design systems that are responsible, effective, and grounded in their organization's purpose.

China's AI Strategy and Chip Self-Sufficiency Guest: Jack Burnham Jack Burnham discussed China's AI development, which prioritizes political control and self-sufficiency over immediate excellence, evidenced by the Chinese Cyberspace Administration banning large internet companies from purchasing high-end Nvidia processors, with the CCP aiming to build out its own domestic systems to insulate itself from potential U.S. leverage, while the Chinese DeepSeek AI model is considered a "good enough" open-source competitor due to its low cost, accessibility, and high quality in certain computations, despite some identified security issues. 1900

SHOW 11-19-25 CBS EYE ON THE WORLD WITH JOHN BATCHELOR 1937 THE SHOW BEGINS IN THE DOUBTS ABOUT JAPAN... FIRST HOUR 9-915 US Military Deployment near Venezuela and Geopolitical Conflicts Guest: Colonel Jeff McCausland Colonel Jeff McCausland discussed the large U.S. naval force, including the USS Gerald R. Ford carrier, deployed near Venezuela, suggesting this force, the largest in the Caribbean since the Cuban Missile Crisis, appears designed for regime change rather than just narcotics interdiction, with a resulting occupation requiring 60,000 to 100,000 troops and risks turning the U.S. into an occupying force dealing with narco-terrorism and sanctuary issues in countries like Colombia, while also noting Moscow's lack of genuine interest in negotiating an end to the conflict in Ukraine. 915-930 930-945 China's AI Strategy and Chip Self-Sufficiency Guest: Jack Burnham Jack Burnham discussed China's AI development, which prioritizes political control and self-sufficiency over immediate excellence, evidenced by the Chinese Cyberspace Administration banning large internet companies from purchasing high-end Nvidia processors, with the CCP aiming to build out its own domestic systems to insulate itself from potential U.S. leverage, while the Chinese DeepSeek AI model is considered a "good enough" open-source competitor due to its low cost, accessibility, and high quality in certain computations, despite some identified security issues. 945-1000 US Productivity vs. Chinese Manufacturing Dominance Guest: Dave Hebert Dave Hebert analyzed China's manufacturing dominance, which is fundamentally based on massive state subsidies (over $1 trillion annually) and a huge workforce of up to 212 million people, despite this scale, the U.S. workforce is vastly more productive per capita, supported by foreign investment, skilled immigration, and innovation, while China suffers from factory overcapacity due to subsidized production regardless of market demand, and he argued that U.S. tariffs harm domestic productivity by increasing the cost of raw materials and components for American manufacturers. SECOND HOUR 10-1015 Japan's New PM and Existential Threat of Taiwan Conflict Guest: Lance Gatling Lance Gatling discussed Japan's new Prime Minister, Sanae Takaichi, who has adopted a notably hawkish position towards China, stating that a blockade or threat against Taiwan could be interpreted as an existential threat to Japan, allowing the possibility of engaging in collective defense with allies like the U.S. or Philippines, and amid rising tensions and China's attempts to inflict economic damage, Takaichi is moving to accelerate the doubling of Japan's defense procurement budget, while the U.S. withdrawal of the mobile Typhoon missile system was criticized as strategically counterproductive during this critical moment. 1015-1030 The USS Gerald R. Ford and Gunboat Diplomacy in the Caribbean Guest: Rebecca Grant Rebecca Grant affirmed that the arrival of the USS Gerald R. Ford supercarrier in the Caribbean is the "top symbol of American power," providing significant strike and surveillance options, with the rapid deployment being unusual and signaling a large strategic shift to reassert U.S. interests in the Western Hemisphere, pressure Maduro, and push back against Chinese and Russian influence, and Grant agreed with China's label of the action as "gunboat diplomacy," noting that it is strategically effective in signaling America's seriousness about the region. 1030-1045 Canada-China Relations and Chinese Deception Guest: Charles Burton Charles Burton, author of The Beaver and the Dragon, discussed Canada's troubled relationship with China, criticizing the new Canadian Prime Minister Mark Carney for adopting rhetoric favoring "pragmatic and constructive relations," suggesting Canada might ally with China's geostrategic goal of undermining U.S.-backed liberal democracies, with Carney's accelerated meetings with Xi Jinping possibly being attempts to secure market access or apply pressure on the U.S., while Burton noted concerns over the non-implementation of Canada's foreign agent registry despite issues like Chinese espionage and election interference. 1045-1100 THIRD HOUR 1100-1115 Chinese Hybrid Warfare and Lawfare in the Solomon Islands Guest: Cleo Paskal Cleo Paskal detailed China's hybrid warfare in the Solomon Islands, focusing on Daniel Suidani, a former premier of Malaita who resisted Chinese influence by instituting a moratorium on CCP-linked businesses due to concerns over environmental and social harm, but after being politically ousted, he and his colleague were targeted with spurious "lawfare" charges (unlawful assembly) designed to demoralize and bankrupt them, with Suidani tragically dying of kidney failure after being denied use of a China-donated dialysis machine, while India-donated machines sat unused due to government stonewalling on training. 1115-1130 1130-1145 Space Exploration Updates (Blue Origin, SpaceX, China's space station, FAA regulations) Guest: Bob Zimmerman Bob Zimmerman provided several space updates, noting Blue Origin successfully launched and landed the New Glenn first stage, demonstrating sophisticated sideways landing software technology comparable to SpaceX, while SpaceX achieved its 150th launch this year, dominating the industry and surpassing the combined total of all other entities, with the FAA ending the daytime launch curfew that was previously implemented due to air traffic controller limitations, and furthermore, three Chinese taikonauts aboard Tiangong 3 are in an emergency, currently lacking a functional lifeboat capsule. 1145-1200 FOURTH HOUR 12-1215 Commodities, AI Demand, and UK Political Turmoil Guest: Simon Constable Simon Constable reported on market trends with energy prices significantly down but metals like copper and steel consistently higher, reflecting strong demand particularly for AI data center construction, while future chocolate prices are projected to rise due to "transcontinental climate change" linking Amazon deforestation to political instability in major cocoa regions like the DRC, and in UK politics, Prime Minister Sir Keir Starmer faces constant internal revolts and distrust due to policy flip-flops, tax increases, and failure to solve the immigration problem. 1215-1230 1230-1245 1245-100 AM Comparing Chinese Engineers (Technocracy) and American Lawyers (Process) Guest: John Kitch John Kitch reviewed Dan Wang's book Breakneck, which contrasts China's engineer-dominated political leadership with America's lawyer-dominated system, noting China's engineers excel at executing large-scale plans and directing resources, fostering output, but their technocratic mindset struggles with complex human problems and leads to unintended consequences, while American lawyers establish effective regulations and protect civil liberties but often result in excessive process, compliance focus, and reduced economic dynamism, with Wang advocating for greater economic dynamism in the United States.

Apple is paying Google $1 billion because it failed at AI.