Podcasts about ai strategy

Apple is gonna pay their competitors to do AI for them. Yiiiiikes. A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them. Our take? You know we're bringing the fire for this #HotTakeTuesday.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.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:Apple's Generative AI Struggles AnalyzedBloomberg Report on Apple's AI PlansApple's AI Strategy Shift with CompetitorsSiri Development Challenges & DelaysApple's AI Failures & Class Action LawsuitsFuture of Apple's AI Innovation DiscussedAnthropic & OpenAI's Role in Apple's AIApple's AI Outsourcing Strategic ImpactTimestamps:00:00 "Everyday AI: Podcast & Newsletter"05:57 "Delayed AI Siri Release"09:41 Apple's AI Struggles Revealed10:47 "Apple's Siri Relies on ChatGPT"16:57 Apple Faces Costly AI Negotiations17:58 Amazon Partners with Anthropic for Alexa23:47 AI Strategy and Training Solutions26:39 Google and Apple's AI Divergence31:27 Meta Advances, Apple Lags in AI32:48 AI Setbacks Could Cost Apple Market CapKeywords:Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Hear from host Paul Spain and tech journalist Ben Moore as they delve into New Zealand's evolving tech landscape, including the government's ban on crypto ATMs to fight money laundering, the national strategy for AI adoption, and NZ police internet governance. On the global front they explore the latest Robotic surgery success, EU's AI transparency regulations, Nvidia's market USD $4 trillion milestone, Cloudflare's AI blocker and more.A big thank you to our show partners One NZ, Spark, HP, 2degrees and Gorilla Technology.

Just about every big tech company made splashes in AI this week.↳ Google acqui-hired a company that OpenAI failed to straight up acquire↳Microsoft is investing $4 billion into AI training↳ OpenAI is going after the AI browser space↳ and Meta reportedly spent more than $200 million on one employeeSheeeeesh. It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.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:OpenAI's AI Browsers vs. Google ChromePerplexity's Comet Browser Launch StrategyXAI's Controversial Grok4 Alignment IssuesTeacher Union's AI Training PartnershipMicrosoft Elevate AI Training InitiativeNVIDIA's $4 Trillion Market Cap MilestoneGoogle Acqui-hires Windsurf for DeepMindMeta's $200M Apple AI Talent AcquisitionTimestamps:00:00 "Everyday AI: Weekly News Recap"05:36 Perplexity's Comet: Agentic Browser Shift06:49 AI-Powered Browsing with Perplexity's Comet10:44 "Grok 4: Aligns with Musk's Views"15:37 AI Workshops for Teachers Nationwide18:32 Microsoft's Elevate Program: AI Access & Trust19:51 AI Strategy and Training Partners23:13 Google Hires Wind Surf Executives29:04 AI Updates: Claude's MCP and Google Gemini31:36 AI Developments: Browsers, Training, Market MovesKeywords:Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Recently, Science and Technology Minister, Shane Reti, announced New Zealand's first-ever artificial intelligence, or AI, strategy. With this, Aotearoa becomes the last country in the OECD to establish guidelines around the use of AI. Despite the establishment of this strategy, which is aimed at enticing the private sector to incorporate and invest in AI, there are concerns that the strategy does not introduce any new legislation to regulate AI, rather using already existing legislation, and fails to address ethical concerns. News and Editorial Director and Monday Wire Host, Joel, spoke to Dr Collin Bjork — a senior Communications lecturer at Massey University, about this strategy document, and how much of an impact this strategy will have on the private sector to be better engaged with AI usage. They also spoke to AI and technology governor, Dr Karaitiana Taiuru, about how te ao Māori is engaged with this strategy, and whether more needs to be done.

Discover how to turn decades of data into a competitive edge, build lasting customer relationships beyond the first click, and apply AI in ways that truly drive impact. Joining us is Vineet Mahajan, CTO of US News & World Report, who shares how he's led the 90-year-old brand through a sweeping digital transformation. From rearchitecting infrastructure to deploying semantic search, generative AI, and agentic tools, Vineet explains how his team is reimagining what a legacy institution can become—and what every tech leader can take from that journey.Key Moments:00:00 Meet Vineet Mahajan, CTO of US News & World Report04:45 How to Unlock the True Value of Your Data09:55 Why First-Party Data Is Key to Building Customer Relationships14:32 What Is Semantic Search and How Can Generative AI Improve UX?18:39 How to Overcome Data Cleaning and Structuring Challenges21:18 How to Evaluate Emerging Tech Trends (Like Agentic AI)25:43 How to Lead Change: Data Governance and Digital Transformation32:38 What's Next for US News & World Report and the Future of AI-Driven Strategy -- Brightspot is the leading content management platform built for modern teams. Your content lifecycle - from ideation to archival - moves faster, handling any volume, variety, or velocity with ease. Unlike legacy platforms that demand heavy dev work and struggle with scale, Brightspot is user-friendly, endlessly customizable, and enterprise-ready. Think dynamic, modern experiences, shipped in minutes—not months. Trusted by some of the world's leading tech organizations, Brightspot reduces total cost of ownership, boosts productivity, and gives you the governance, security, and performance your teams need. Visit brightspot.com/ITVisionaries to learn more.---This episode was produced by the team at Mission.org and brought to you by Brightspot.

992: “Healthcare, first of all, unlike other industries, has to be held to a higher standard in terms of responsibility.” In this episode of Technovation, host Peter High speaks with Sandeep Dadlani, Executive Vice President and Chief Digital & Technology Officer of UnitedHealth Group, the Fortune 3 healthcare leader. Sandeep explains how his team's technology and digital strategies are tightly aligned to UnitedHealth Group's mission: helping people live healthier lives and making the health system work better for everyone. He shares how AI, cloud, and data-driven innovations improve care delivery, enhance provider and patient experiences, and reduce administrative burden while driving transformation at scale.

The government unveiled New Zealand's first ever AI strategy this week, it's a plan to reduce barriers and speed up responsible adoption, and yes it was written with the help of AI. Schools are working out how it will fit into teaching - embracing the benefits while trying to reduce the pitfalls. Westlake Girls' High School Futures Education and AI lead, Susana Tomaz spoke to Ingrid Hipkiss.

How is AI really changing marketing?In this episode of CMO Convo, Invoca CEO Gregg Johnson shares hard-earned wisdom from decades in tech, offering a grounded, strategic view of AI's role in modern marketing. From consumer trust and data privacy to agentic AI and personalized brand experiences at scale, Gregg dives into the real blockers, opportunities, and human implications of AI adoption.Whether you're a CMO, marketer, or tech-curious leader, this conversation offers practical takeaways and a refreshing, no-fluff perspective on where AI is headed — and how to stay ahead of the curve.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Why It's Time to Rethink “Rip-and-Replace” ERP, Q&A (Darian Chwialkowski, Third Stage Consulting) Why ERP is Dying (Greg Benton, Third Stage Consulting) 25-Year ERP Consultant Reveals Why The Industry Is Broken   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

What does it look like when a general counsel doesn't just adopt AI—but rewires her entire legal function around it? In this episode, Mary O'Carroll sits down with Shannon Thyme Klinger, Chief Legal Officer at Moderna and President of Moderna Charitable Foundation. Named by the Financial Times as one of the most innovative GCs of the past two decades, Shannon is reshaping what it means to lead a legal team—and a profession—through profound change. In this episode: “AI won't replace lawyers, but…” Shannon lays out her bold vision: why lawyers who don't harness AI may get left behind—and how her team at Moderna is using GPTs, reasoning models, and agents to transform everything from contracts to compliance. From Skepticism to Buy-In: How Shannon got a room full of reluctant legal leaders to see AI's potential—by showing, not telling. The Self-Service Revolution: Why Moderna's business teams now use AI-powered contract tools to answer 90% of their questions—freeing legal to focus on higher-value work. Fearless Experimentation: The mindset shift that changed everything: fail fast, learn faster. Beyond Legal: Why Shannon sees legal ops as a strategic engine, not a back-office function—and how her team is training other departments to work smarter with AI. The Big Picture: Shannon's take on the future of legal—what's at risk, what needs to change, and why it's time for GCs and law firms to rewrite the playbook. If you've ever wondered what real legal transformation looks like—led from the top, grounded in purpose, and driven by tech—this conversation is your blueprint. Follow Mary on LinkedIn Rate and review on Apple Podcasts

Andrew Lensen, senior lecturer of artificial intelligence at Victoria University of Wellington, joins Emile Donovan.

Hopes a move to boost New Zealand's use of AI will get small businesses on board. Science Minister Shane Reti's announced the Government's first strategy for using Artificial Intelligence to reduce barriers to adoption and promote responsible use. He says it could lift our GDP $76 billion by 2038. BusinessNZ Advocacy Director Catherine Beard told Andrew Dickens AI use for Kiwi small businesses is currently well behind Australia. She says to boost their productivity they need to embrace it, and there are plans to help support them. LISTEN ABOVE See omnystudio.com/listener for privacy information.

In this episode, we sit down with Justin Graham and Jake Dein from Barge Design Solutions to explore the real-world challenges of implementing AI in engineering. From avoiding the "streetlight effect" to saving clients millions through more intelligent data integration, they share hard-earned insights on why clean, connected data, not just flashy tools, is the key to meaningful innovation. If you're thinking about AI, this episode will show you where to start.Level up your knowledge with IE+! Subscribe today to access exclusive premium articles enriched with expert insights and enjoy members-only technical newsletters designed to keep you ahead in technology and science. 

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:    1. Pentagon's $11B IT Modernization Struggles, Q&A   2. What Do People, Government & Public Sector Need to Know About Digital Transformation?  (Panel: Scott Bickley, Info-Tech, Fred Hessler, Third Stage Consulting, Marcus Harris, Taft Law, Ron Puccinelli, City of Menifee)  3. Government ERP Implementation Lessons Learned (Ron Puccinelli, City of Menifee)    We also cover a number of other relevant topics related to digital and business transformation throughout the show.   

In this episode of Alter Everything, we chat with Alex Patrushev, Head of Product at Nebius. We discuss the gaps organizations face between data and business impact, strategies to bridge these gaps, and the role of AI in these processes. Alex explains Nebius' mission to make AI accessible, the challenges of building data centers and software from scratch, and innovative solutions like their data center in Finland. The conversation also covers key components for effectively bridging data and business impact, such as project selection, stakeholder communication, team skills, data quality, and tech stack.Panelists: Alexander Patrushev, Head of Product for AI/ML @ NebiusMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: NebiusData Version Control Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

Ajay Patel is the General Manager of Apptio and IBM IT automation. He and Kieron Allen sat down to talk about how enterprises are transitioning from AI experimentation to real business impact. They explored key challenges like cost transparency, governance, and data readiness, as well as the rise of agentic AI to automate workflows at scale. Ajay also introduced Apptio's new AI TCO and Usage tool, designed to help CIOs and CFOs measure and optimize AI investments.Smart Spending on AI The Big Themes:Enterprises Are Moving Beyond AI Experiments to Strategic Deployment: The era of AI experimentation is over. Enterprises are now actively deploying AI, particularly in sales, service operations, and software development. However, those achieving meaningful impact are taking a strategic approach, rather than letting teams experiment in silos. The C-suite increasingly sees AI as critical, but that value perception isn't always shared by the wider workforce.AI and IT Budgets: AI now consumes more than 20% of IT budgets, yet overall tech spending is only increasing 4–5%. This creates a 10–15% gap, leading companies to “forward fund” AI initiatives by reallocating from other areas. A key challenge: there's no standardized pricing for AI. To address this, IBM's Apptio launched the AI TCO and Usage solution. It helps CIOs and CFOs baseline current AI investments, measure unit economics, and identify areas to optimize or expand.Agentic AI, the Next Frontier: Agentic AI is key to scaling beyond isolated use cases. It enables automation at scale and connects AI investment to tangible business outcomes. From cost savings in infrastructure to better visibility in FinOps to boosting customer experience, the ROI is clear when deployed correctly. But none of this happens without data readiness, governance, and strategic clarity.The Big Quote: "AI TCO solution fundamentally starts by giving CIOs [and] CFOs in the business a complete view of where the tech spending and AI spending is, and what stage is that? Is it in a pilot phase? Is it for training models?"Learn more:Connect with Ajay Patel on LinkedIn and learn more about Apptio. Visit Cloud Wars for more.

Apple is gonna pay their competitors to do AI for them. Yiiiiikes. A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them. Our take? You know we're bringing the fire for this #HotTakeTuesday.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.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:Apple's Generative AI Struggles AnalyzedBloomberg Report on Apple's AI PlansApple's AI Strategy Shift with CompetitorsSiri Development Challenges & DelaysApple's AI Failures & Class Action LawsuitsFuture of Apple's AI Innovation DiscussedAnthropic & OpenAI's Role in Apple's AIApple's AI Outsourcing Strategic ImpactTimestamps:00:00 "Everyday AI: Podcast & Newsletter"05:57 "Delayed AI Siri Release"09:41 Apple's AI Struggles Revealed10:47 "Apple's Siri Relies on ChatGPT"16:57 Apple Faces Costly AI Negotiations17:58 Amazon Partners with Anthropic for Alexa23:47 AI Strategy and Training Solutions26:39 Google and Apple's AI Divergence31:27 Meta Advances, Apple Lags in AI32:48 AI Setbacks Could Cost Apple Market CapKeywords:Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.Send 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

A CMO Confidential Interview with Michael Treff, the CEO of Code + Theory, a growing 2000 person agency which combines technology and creativity. Michael discusses the disruption in consumer behavior, why B2B client service is becoming more holistic, and why companies should "go on offense" in a time of uncertainty. Key topics include: The strategic question of "What do you want your humans to be doing;" his belief that there will be a growing demand for ROI on tech spending; how everyone can become a creative change agent; and why he hates the concept of "The Big Idea." Tune in to hear the lesson of "prompt engineers" and an analogy of how playing in a punk band is like learning to use AI.In this week's episode of CMO Confidential, five-time CMO Mike Linton is joined by Michael Treff, CEO of award-winning agency Code and Theory for a no-holds-barred discussion on why most AI strategies are missing the point.Treff—who leads an agency named B2B Agency of the Year by Ad Age and innovation standout by Fast Company—argues that leaders are mistaking AI tools for strategy. Instead, he lays out a bold case for orchestration—aligning people, tools, and data across the enterprise to drive real customer value. Together, Mike and Michael unpack: • Why B2B marketers need to stop treating customers like corporate buyers and start treating them like humans. • Why defensive strategies during disruption are a recipe for irrelevance. • The myth of the “big idea”—and why creativity has been democratized. • Why prompt engineers were never the future. • What AI orchestration really means—and how it can finally connect data silos, unify customer journeys, and drive performance.Whether you're a CMO, agency leader, or aspiring executive, this is an unmissable playbook for navigating AI disruption, avoiding short-sighted efficiency traps, and building brands that thrive.

The AI drama is full tilt!↳ Meta and OpenAI have all but declared a war on top tech talent. ↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base. ↳ Salesforce says AI is doing their own jobs for them. And that's just the tip of the AI iceberg y'all. Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.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:AI Talent War: Meta vs. OpenAIAI Firms and Copyright Lawsuits UpdateOpenAI Trademark Battle with IOEleven Labs' New Voice AI LaunchUS Senate AI Regulation DealAnthropic's Claude Platform Features UpdateSalesforce's AI Workload IntegrationGoogle Gemini CLI Free Coding ToolMeta's Aggressive AI Talent RecruitmentOpenAI's Strategy to Retain ResearchersTimestamps:00:00 "AI News: Weekly and Daily Updates"03:12 AI Copyright Lawsuits: Early Rulings09:18 OpenAI-IO Trademark Dispute Unveiled12:23 Futile Lawsuit Against New Gadget14:21 "11 AI: Voice-Activated Task Assistant"17:37 "AI Strategy and Education Solutions"21:54 Federal AI Funding and State Regulation25:05 States Must Forego AI Regulation28:18 Anthropic Updates Claude with Artifacts31:23 Claude vs. Google Usage Limits37:17 Google Disrupts Coding with Free Tool40:17 Meta's AI Talent and Business Strategy44:20 OpenAI Responds to Meta Poaching45:49 AI Developments: LLaMA and Grok Updates49:14 OpenAI Faces Lawsuit Over IOKeywords:AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, GoogleSend 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

Angelo Zino and Ahmed Khan break down Meta's (META) AI strategy. “Meta's a name you stick with,” Angelo says, arguing there are ways for it to monetize AI. Investors will get more clarity on their AI strategy in the next 6-9 months, he thinks. Ahmed is targeting $770/share for META and is “all for” its huge push into AI spending as long as it improves the core product: digital advertising. However, he warns that Meta has been known to spend in the wrong direction, like with the Metaverse.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Many organisations claim to be transforming — but are merely optimising. In this episode, we expose the critical difference between refining existing systems and redefining them entirely. Discover why confusing efficiency with innovation can stall your future relevance, and how true transformation requires more than upgrades. Learn how to evaluate your initiatives, avoid legacy traps, and lead with forward-looking clarity. If you're a leader navigating digital disruption, AI, or business model reinvention — this episode will help you move from momentum to meaningful change. 

In this episode, I speak with three guests from diverse backgrounds who share a common goal: Building trust in human-AI partnerships in security. We originally came together for a panel at the Institute of Electrical and Electronics Engineers (IEEE) Conference on AI in May 2025, and this episode recaps that discussion.Key takeaways:Security practitioners tend to be natural-born skeptics (can you blame them?!). They struggle to trust and adopt AI-powered security products, especially in higher-risk scenarios with overly simplified decision-making processes.AI can be a tool for threat actors and a threat vector itself, and its non-deterministic nature makes it unpredictable and vulnerable to manipulation.All AI models are biased, but not all bias is negative. Recognized and carefully managed bias can provide actionable insights. Purposefully biased (opinionated) models should be transparent.Clearer standards and expectations are needed for “human-in-the-loop” and human oversight. What does the human actually do, are they qualified, and do they have the right experience and information?What happens when today's graduates are tomorrow's security practitioners? On one end of the spectrum we have a lot of skepticism, on the other end not enough. We talk about over-reliance on AI, de-skilling, and loss of situational awareness.Dr. Margaret Cunningham is the Technical Director, Security & AI Strategy at Darktrace. Margaret was formerly Principal Product Manager at Forcepoint and Senior Staff Behavioral Engineer at Robinhood.Dr. Divya Ramjee is an Assistant Professor at Rochester Institute of Technology (RIT). She also leads RIT's Technology and Policy Lab, analyzing security, AI policy, and privacy challenges. She previously held senior roles in US government across various agencies.Dr. Matthew Canham is the Executive Director, Cognitive Security Institute. He is a former FBI Supervisory Special Agent, with over twenty years of research in cognitive security.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Everything You Need to Know About Organizational Change Management OCM for ERP Implementations: https://www.youtube.com/live/KEqg3Ok2CAA?feature=share Top Change Management Strategies: https://youtube.com/live/UAcaw4ygLZ4?feature=share AI and Change Management: https://youtube.com/live/0JD9gaHjTz8?feature=share   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this solo episode, Cynozure CEO Jason Foster explores what it really means to create value with data and AI and why it can't be treated as a nice-to-have outcome at the end of a project. Jason breaks down a practical, repeatable approach to designing value in from the start, with clear intent, strong foundations, and input-focused delivery. He shares real-world examples and analogies to show how organisations can shift from vague goals to measurable, meaningful impact. This episode is packed with actionable insights for data and business leaders who want to move from theory to practice and ensure their data work truly makes a difference. -------------------------------- Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

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 Rimini Street is Extending Support for SAP, Q&A (Darian Chwialkowski, Third Stage Consulting)  Lessons from a Client's ERP Implementation (Seth Morth, Clair Global)  Can Your Company Can Survive a Cyber Attack?  We also cover a number of other relevant topics related to digital and business transformation throughout the show.   

In this episode, we're diving into one of the most pressing and complex topics in higher education: the role of artificial intelligence in the classroom. We're joined by two fantastic guests—Dr. Deborah Lee, Director of Research Impact and AI Strategy, and Dr. Brett Hanley, an Instructor in the Department of English. We're so glad to have them with us today to explore the promises, challenges, and questions AI raises for students and educators alike.

In this compelling episode of Partnering Leadership, Mahan Tavakoli is joined by David Espindola, a futurist and strategic advisor with deep expertise in technology, AI, and leadership. As the author of The Exponential Era and Soulful, Espindola brings a unique lens to the conversation—one that blends exponential technology insight with a deep understanding of human-centered leadership. His background, which spans Silicon Valley startups and CIO roles, grounds his perspective in both vision and practicality.Together, they explore how artificial intelligence is no longer just a functional tool—it's a force that's reshaping how organizations operate and how leaders must lead. Espindola challenges the outdated mental models that many executives still rely on and explains why thinking exponentially—not linearly—is now a leadership imperative. The speed of change, he argues, requires not just faster decision-making, but a fundamental rewiring of strategic planning itself.Beyond urgency, the conversation offers a thoughtful framework for action. Espindola urges leaders to see AI not as a threat, but as a collaborator—a sparring partner that, when used well, can expand creativity, sharpen insight, and unlock new value. At the same time, he issues a warning about over-delegating thought and judgment to machines. The leaders who thrive, he says, will be those who bring a uniquely human edge to this new era.The episode also dives into the qualities that will define great leadership in an AI-powered world—empathy, intrinsic motivation, and adaptability. Espindola makes the case for “soulful strategy”—an approach rooted not just in efficiency but in meaning and trust. For CEOs, board members, and senior leaders rethinking their relevance and impact in a fast-moving world, this episode delivers timely insights and a powerful call to lead differently.Actionable TakeawaysYou'll learn why most strategic plans are outdated before they're even executed—and what kind of strategic thinking leaders need insteadHear how to shift from using AI as an assistant to engaging it as a thought partner that challenges and elevates your ideasDiscover why exponential change breaks traditional leadership models—and how to respond without falling behindHear why the ability to ask good questions is becoming more valuable than having the right answersLearn how AI is disrupting entry-level pathways—and what that means for how leaders must develop talentExplore why AI can mimic empathy, but trust and meaning still require human leadershipHear how leaders can design organizations that adapt, experiment, and continuously learnLearn how ungoverned AI usage across your organization may already be exposing you to riskDiscover why AI must move from a tech issue to a board-level strategy conversationHear why talking to your frontline may be the most important move for understanding how AI is already shaping your businessConnect with David EspindolaDavid Espindola Website David Espindola LinkedIn Connect with Mahan Tavakoli: Mahan Tavakoli Website Mahan Tavakoli on LinkedIn Partnering Leadership Website

AI without a data science team? It's not a fantasy it's the future.In this week's SaaS Fuel episode, Jeff Mains sits down with Rahul Pangam, CEO of RapidCanvas and former VP at PayPal, to explore how AI is becoming accessible to every SaaS founder no code required.We dive deep into the enterprise AI dilemma: where to start, what ROI to expect, and how to avoid wasting budget on hype. Rahul shares how RapidCanvas is transforming messy, unstructured data into real-time insights for non-technical users, and the hard-earned startup lessons that shaped this vision.If you're sitting on data gold but don't know how to mine it, this episode is your blueprint for action.Key Takeaways00:00 - The AI dilemma: start now or risk falling behind?01:09 - Welcome to SaaS Fuel01:38 - What if you could build AI without writing code?02:28 - AI is being democratized—finally03:15 - Recap: Patricia Fripp & Andrew Seidman episodes04:03 - Meet Rahul Pangam of RapidCanvas05:05 - From PayPal to RapidCanvas: Rahul's journey10:59 - What problem does RapidCanvas solve?16:27 - Pairing digital intelligence with domain expertise19:18 - Why outcomes—not code—drive AI adoption20:35 - Is AI only for big tech? How it's being democratized23:58 - Turning PDFs into insight without tech skills25:48 - Hard lessons from Rahul's first startup28:52 - From startup to PayPal: what corporate taught him33:58 - Hiring & product mistakes that left a mark37:39 - Scaling stage: can everyone grow with the company?39:09 - How to build trust in skeptical buyers44:21 - Should AI be on your roadmap? Ask this question47:01 - Where does AI fit in your org?50:14 - Where to find Rahul & RapidCanvas online51:55 - Cupcakes, Series A sprinkles & future guestsTweetable Quotes“If you don't do AI, your board asks why. If you do, you wonder where to even start.” — Rahul Pangam“You don't need a data science degree to use AI—you need the right platform.” — Jeff Mains“AI isn't about writing code. It's about delivering outcomes.” — Rahul Pangam“Stop chasing trends. Start solving real problems with real data.” — Jeff Mains“The most valuable startups don't build tools—they deliver results.” — Rahul Pangam“Data alone isn't an asset until you can act on it.” — Jeff MainsSaaS Leadership LessonsYou don't need a data team to implement AI.Natural language platforms like RapidCanvas are bridging the tech gap.Most leaders don't lack data—they lack clarity.Turning information into insight is where real transformation starts.AI adoption must be outcome-driven.Focus on business impact, not fancy features or buzzwords.Founders must guide AI from concept to outcome.Even no-code tools need leadership to shape direction and alignment.Startup scars shape smart strategy.Rahul's lessons from Simility highlight the value of postmortem reflection and iteration.AI implementation isn't about automation—it's about acceleration.It's not about replacing people. It's about empowering decision-makers faster.Guest ResourcesEmail - rahul@rapidcanvas.aiWebsite - http://rapidcanvas.ai/LinkedIn - https://www.linkedin.com/in/rahulpangam/Episode...

A16z Podcast: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- What if the rise of Apple also built modern China?a16z's Erik Torenberg is joined by board partner and former Microsoft Windows chief Steven Sinofsky to unpack how Apple's pursuit of design excellence and supply chain scale catalyzed China's manufacturing superpower status - and why that partnership is now under intense scrutiny.Inspired by the book Apple in China (but not a book review), the episode dives deep into:The early days of Apple's shift to Chinese manufacturing What experts got wrong in 1999 about trade, globalization, and China's trajectoryHow Tim Cook's operational playbook reshaped the global tech industryBehind-the-scenes stories from Microsoft's own hardware battles and Surface launchWhy Apple's entanglement with China may now be a strategic liabilityWhat COVID revealed about fragile global dependencies — and where innovation goes nextHow national policy, intellectual property, and AI intersect in the new industrial eraThe episode opens with a few reactions to WWDC: Apple's new UI, the iPad's evolving role, and why Apple's AI story still feels unfinished - before zooming out into one of the most consequential tech and geopolitical stories of our time.TImecodes:00:00 Introduction00:37 Guest Introduction: Steven Sinofsky00:49 WWDC Reactions and Apple's AI Story02:27 WWDC Highlights: Liquid Glass and iPad Updates05:16 Apple's AI Strategy and Market Dynamics06:34 Meta's AI Moves and Market Implications13:30 Apple's Manufacturing Evolution: From Garage to Global20:50 The Rise of ODMs and Global Manufacturing26:32 Microsoft's Struggle with Piracy in China27:19 Apple's Revolutionary MacBook Air29:30 Challenges in PC Manufacturing31:05 The Rise of Chinese Manufacturing Skills32:07 The Point of No Return for Apple and China32:59 Global Trade and Intellectual Property Issues37:04 COVID-19's Impact on Global Manufacturing41:19 Future of Innovation and Manufacturing47:10 Navigating Intellectual Property in the AI Era48:55 Conclusion and Final ThoughtsResources:Find Steven on X: https://x.com/stevesiFind Erik on X: https://x.com/eriktorenbergStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

A16z Podcast Key Takeaways  The view of American businesses in the late 1990s was to get into China, outsource manufacturing, and reduce trade barriers between countries; this evolution was celebrated as the start of a new industrial era It has since turned into a national security issue for the United StatesChina's unique blend of socialism, totalitarianism, and entrepreneurship enabled this to materialize Doing business in China often comes with onerous conditions, such as surrendering intellectual property or allowing government ‘inspectors' access to operationsThe main risks to AI progress: (1) The government thinks that there is only one player, (2) One player thinks that it is the only player, and (3) The tech becomes geographically constrained It is very easy to pour money into China, but oftentimes, it does not come back out In the AI race, Microsoft's strength lies not in being the best, but in ensuring it is embedded in whatever platform ultimately prevailsApple is not a first-mover company; it is a first-integrator company Apple faces a critical decision on its AI strategy – whether that is a ‘strange bedfellows' partnership strategy (Microsoft and OpenAI), support anything that comes out (Amazon), or go its own way (Google, OpenAI, Anthropic) The silver lining for US manufacturing: Constraints fuel innovation; breakthroughs emerge when smart people focus on tough problems over timeCOVID exposed the fragility of the global supply chain system, revealing too many single points of failure to sustain a fracturing world order The role of IP in US-China competition is a litigation issue; we are in for years of market uncertainty as to how this dynamic will ultimately play out Read the full notes @ podcastnotes.orgWhat if the rise of Apple also built modern China?a16z's Erik Torenberg is joined by board partner and former Microsoft Windows chief Steven Sinofsky to unpack how Apple's pursuit of design excellence and supply chain scale catalyzed China's manufacturing superpower status - and why that partnership is now under intense scrutiny.Inspired by the book Apple in China (but not a book review), the episode dives deep into:The early days of Apple's shift to Chinese manufacturing What experts got wrong in 1999 about trade, globalization, and China's trajectoryHow Tim Cook's operational playbook reshaped the global tech industryBehind-the-scenes stories from Microsoft's own hardware battles and Surface launchWhy Apple's entanglement with China may now be a strategic liabilityWhat COVID revealed about fragile global dependencies — and where innovation goes nextHow national policy, intellectual property, and AI intersect in the new industrial eraThe episode opens with a few reactions to WWDC: Apple's new UI, the iPad's evolving role, and why Apple's AI story still feels unfinished - before zooming out into one of the most consequential tech and geopolitical stories of our time.TImecodes:00:00 Introduction00:37 Guest Introduction: Steven Sinofsky00:49 WWDC Reactions and Apple's AI Story02:27 WWDC Highlights: Liquid Glass and iPad Updates05:16 Apple's AI Strategy and Market Dynamics06:34 Meta's AI Moves and Market Implications13:30 Apple's Manufacturing Evolution: From Garage to Global20:50 The Rise of ODMs and Global Manufacturing26:32 Microsoft's Struggle with Piracy in China27:19 Apple's Revolutionary MacBook Air29:30 Challenges in PC Manufacturing31:05 The Rise of Chinese Manufacturing Skills32:07 The Point of No Return for Apple and China32:59 Global Trade and Intellectual Property Issues37:04 COVID-19's Impact on Global Manufacturing41:19 Future of Innovation and Manufacturing47:10 Navigating Intellectual Property in the AI Era48:55 Conclusion and Final ThoughtsResources:Find Steven on X: https://x.com/stevesiFind Erik on X: https://x.com/eriktorenbergStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

In this episode of the DMI podcast, host ⁠⁠Will Francis⁠⁠ speaks with ⁠Jim Lecinski⁠⁠, marketing professor at Northwestern University, Kellogg and co-author of The AI Marketing Canvas. Together, they explore how artificial intelligence is reshaping marketing — from reducing cycle times and boosting productivity to transforming how marketers plan, execute, and measure campaigns. Jim demystifies emerging tools like AI agents, custom GPTs, and reasoning engines, and shares why marketers need to lead AI strategy rather than passively adopt it. He also offers great advice for how marketers can make the most of AI at junior, middle, and senior levels of a career.Jim's Top 3 TipsNominate an AI ChampionFocus on Today's Practical Use CasesUpskill with Free ToolsTimestamps00:00 – Intro & State of Marketing Today01:08 – The AI Adoption Curve03:30 – How AI Is Actually Used Today05:01 – 4 Common Approaches to AI in Enterprises08:42 – Creating an AI Strategy in Marketing10:27 – Understanding AI Agents vs. Assistants13:27 – What Marketers Should (and Shouldn't) Focus On16:15 – The Human Side of Marketing & Creativity20:12 – AI-Generated Ads & the NBCU-Waymark Deal24:33 – “We're an AI-first company”: Why Leaders Say This27:02 – How AI Will Affect Marketing Jobs32:31 – Career Advice by Level36:12 – What's New in The AI Marketing Canvas (2nd Edition)40:17 – How Jim Used AI to Build His Course45:02 – Reframing AI as a Reasoning Engine, Not a Chatbot46:12 – Job Hunting with AI48:33 – Where to Upskill in AI for Marketing-------------------The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on our ⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠.Check out the DMI's extensive digital marketing library of ebooks, toolkits, webinars, guides, templates, and more! ⁠⁠⁠⁠⁠⁠⁠Join for free today⁠⁠⁠⁠⁠⁠⁠.If you enjoyed this episode, please leave a review so others can find us!

The co-founder of F2 Strategy, Doug Fritz, offers a mini-masterclass on how the best advisory businesses utilize technology to create efficiencies and deliver a better client experience. Discover how strategic choices in building a tech stack, incorporating AI, and other key elements can future-proof your business and serve as a distinct differentiator.

What if the rise of Apple also built modern China?a16z's Erik Torenberg is joined by board partner and former Microsoft Windows chief Steven Sinofsky to unpack how Apple's pursuit of design excellence and supply chain scale catalyzed China's manufacturing superpower status - and why that partnership is now under intense scrutiny.Inspired by the book Apple in China (but not a book review), the episode dives deep into:The early days of Apple's shift to Chinese manufacturing What experts got wrong in 1999 about trade, globalization, and China's trajectoryHow Tim Cook's operational playbook reshaped the global tech industryBehind-the-scenes stories from Microsoft's own hardware battles and Surface launchWhy Apple's entanglement with China may now be a strategic liabilityWhat COVID revealed about fragile global dependencies — and where innovation goes nextHow national policy, intellectual property, and AI intersect in the new industrial eraThe episode opens with a few reactions to WWDC: Apple's new UI, the iPad's evolving role, and why Apple's AI story still feels unfinished - before zooming out into one of the most consequential tech and geopolitical stories of our time.TImecodes:00:00 Introduction00:37 Guest Introduction: Steven Sinofsky00:49 WWDC Reactions and Apple's AI Story02:27 WWDC Highlights: Liquid Glass and iPad Updates05:16 Apple's AI Strategy and Market Dynamics06:34 Meta's AI Moves and Market Implications13:30 Apple's Manufacturing Evolution: From Garage to Global20:50 The Rise of ODMs and Global Manufacturing26:32 Microsoft's Struggle with Piracy in China27:19 Apple's Revolutionary MacBook Air29:30 Challenges in PC Manufacturing31:05 The Rise of Chinese Manufacturing Skills32:07 The Point of No Return for Apple and China32:59 Global Trade and Intellectual Property Issues37:04 COVID-19's Impact on Global Manufacturing41:19 Future of Innovation and Manufacturing47:10 Navigating Intellectual Property in the AI Era48:55 Conclusion and Final ThoughtsResources:Find Steven on X: https://x.com/stevesiFind Erik on X: https://x.com/eriktorenbergStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Today on the podcast, we welcome back listener favorite Andrew Filar! Andrew is a Managing Partner and CEO at Marilyn Todd Insurance in Atlanta, GA. He has successfully grown his agency from $0 to $30 million in premiums in under 5 years and now helps other insurance professionals achieve similar growth.In this episode, Bradley and Andrew discuss three major themes for insurance agency growth: audience building in the AI era, evolving marketing strategies, and solving industry staffing challenges. Andrew provides both high-level strategic insights and actionable tactics for immediate implementation.Andrew emphasized the complexity of modern attribution: customers might see a referral, then a Facebook ad, then Google search before calling - making it difficult to track the true source of leads. He also references how his agency has implemented mandatory referral requests on every customer interaction, recognizing that referrals often don't get attributed correctly even when they drive significant business.Actionable TakeawaysImplement Full-Funnel Marketing: Don't rely on single tactics - integrate calling, email, retargeting, and direct mail.Focus on Local Audience Building: Invest in building authentic local presence and relationships.Measure What Matters: Track both individual tactic performance and overall cost-per-acquisition.Systematic Referral Requests: Make asking for referrals a standard part of every customer interaction.Invest in Training: Focus on developing talent rather than just trying to hire experienced professionals.Save your seat at The Quarterly on June 24th!Ready to build your business by design? The Quarterly is a free, live Zoom workshop happening June 24th at 10 AM CST that's designed to give you the clarity and structure you need to move your business forward—without the usual overwhelm. Register For The Quarterly: Q1 ➡️ Q2In just one 2-hour session, you'll wrap up Q2 with confidence, get your Q3 targets 50-75% DONE, and build serious momentum for the rest of the year. You'll also receive a comprehensive workbook packed with quarterly planning templates, time management tools, and an after-action review to keep you on track. Register For The Quarterly: Q1 ➡️ Q2This isn't just another webinar—it's real, focused planning time using the BlueprintOS 5-step process that helps business owners like you create results. No fluff, no wasted time—just a game plan that works. Register For The Quarterly: Q1 ➡️ Q2 at https://quarterly.blueprintos.com.Don't let another quarter slip by without intentional planning. Save your spot today at quarterly.blueprintos.com and take the next step toward becoming the architect of your business rather than just staying stuck as the rainmaker.It's not too late to make the most of 2025.Thanks to our sponsors...BlueprintOS equips business owners to design and install an operating system that runs like clockwork. Through BlueprintOS, you will grow and develop your leadership, clarify your culture and business game plan, align your operations with your KPIs, develop a team of A-Players, and execute your playbooks. Register to join us at an upcoming WebClass when you visit www.blueprintos.com!Coach P found great success as an insurance agent and agency owner. He leads a large, stable team of professionals who are at the top of their game year after year. Now he shares the systems, processes, delegation, and specialization he developed along the way. Gain access...

In this follow-up episode, Lindsey Nelson shares the latest industry insights on AI adoption, barriers to scale, and how providers and payers are shaping their next moves. While awareness gaps persist, demand for AI-driven automation and clinical support tools is growing fast, with strategic clarity driving the pace of innovation.

Michelin Star Branding in Marketing is more than a catchy phrase—it's a precise, thoughtful strategy that brings clarity, consistency, and high-quality execution to brands looking to scale. In this episode, Merag Shahzad breaks down how businesses—from medical professionals to small and medium-sized enterprises—can apply premium marketing principles to stand out in an increasingly crowded digital space.If you're navigating questions like:How do I create authentic marketing strategies that reflect my personality?What are the real-world applications of AI in marketing?How can I compete using small business growth strategies with limited budgets?Are there tools to help with cold outreach that actually convert?How does influencer marketing disrupt legacy brands (like in the MrBeast marketing case study)?What's the best format for content if I'm a medical professional or a founder?You'll find your answers here.Merag brings over two decades of experience advising major brands and refining marketing approaches that align with each founder's unique presence. From tools like Instantly.ai, Twain.ai, and Apollo to tailored messaging that preserves the human-centric branding so essential in 2025, this conversation is packed with practical, actionable insights.Whether you're just starting out or need to refine your strategy, this is the roadmap.⏱️ Timestamps:00:00 – Intro & Merag's Background04:00 – Defining Michelin Star Branding in Marketing06:00 – The MrBeast Disruption: Influencer vs Legacy Brands08:00 – How AI is Reshaping Marketing Roles11:00 – Dangers of Overusing vs Underusing AI12:30 – Smart, Budget-Friendly Strategies for SME Growth15:00 – Best Cold Outreach Tools: Instantly, Twain, Apollo16:00 – Personal Branding for Founders16:49 – Outro

Main Image Monthly - AI Innovations on Seller Sessions A deep dive into AI integration for Amazon sellers, focusing on main image optimization and automation strategies. Episode Summary This episode explores the transformative role of AI in Amazon selling, particularly in optimizing main product images. The hosts discuss innovative approaches to generating and testing image concepts, gathering customer feedback, and implementing automation strategies for enhanced business efficiency. Key Topics AI Integration in Amazon Selling Main Image Optimization Click-through Rate Improvement Product Testing and Feedback Automation and Tech Stack Development   Notable Quotes "The more the better. Iterate down." "Just have fun, just have fun guys." "The tech will catch up now." Key Takeaways AI is revolutionizing Amazon seller workflows Main images significantly impact click-through rates AI-assisted concept testing improves product imagery Early AI adoption provides competitive advantages Hyper-personalization enhances marketing efforts Efficient tech stacks are crucial for AI implementation Timeline 00:00 - 04:01 Introduction and New Format 04:02 - 14:35 Main Images and AI Strategy 14:36 - 29:46 Testing and Feedback Methods 29:47 - 40:11 Live Demo and Optimization 40:12 - 01:02:36 Future Tech and Implementation  

Deeper analysis of iOS 26, macOS Tahoe, Apple's AI strategy at WWDC, Apple execs picking interviews, and Stephen's experience with self-driving taxis.Bonus Episode: F1 Premiere at Steve Jobs Theater. Listen here!Sponsored by: SurfsharkGo to https://surfshark.com/robles or use code ROBLES at checkout to get 4 extra months of Surfshark VPN!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: https://youtu.be/XRQLtb5aDKUJoin the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fmSupport 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/joinReach 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 MastodonWe 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.fmLinks from the showWWDC25 Recap: iOS 26, Liquid Glass, BIG Shortcuts Update! - YouTubeiOS 26 Shortcuts + Apple Intelligence is POWERFUL

This week, I'm speaking with Kevin Weil, Chief Product Officer at OpenAI, who is steering product development at what might be the world's most important company right now.We talk about:(00:00) Episode trailer(01:37) OpenAI's latest launches(03:43) What it's like being CPO of OpenAI(04:34) How AI will reshape our lives(07:23) How young people use AI differently(09:29) Addressing fears about AI(11:47) Kevin's "Oh sh!t" moment(14:11) Why have so many models within ChatGPT?(18:19) The unpredictability of AI product progress(24:47) Understanding model “evals”(27:21) How important is prompt engineering?(29:18) Defining “AI agent”(37:00) Why OpenAI views coding as a prime target use-case(41:24) The "next model test” for any AI startup(46:06) Jony Ive's role at OpenAI(47:50) OpenAI's hardware vision(50:41) Quickfire questions(52:43) When will we get AGI?Kevin's links:LinkedIn: https://www.linkedin.com/in/kevinweil/Twitter/X: @kevinweilAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show:This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack.Produced by supermix.io and EPIIPLUS1 Ltd.