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The AI Visionary Podcast

The AI Visionary Podcast

著者： Joel
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The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective.

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify and Apple Podcasts


Links


LinkedIn Podcast Page
linkedin.com/company/the-ai-visionary-podcast
Joel Azariah LinkedIn Page
linkedin.com/in/joelazariah
Milind Linkedin Page
linkedin.com/in/milind-gaharwar


© 2026 The AI Visionary Podcast
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  • Why AI Efficiency Won't Give You a Competitive Advantage | Don Scheibenreif

    Why AI Efficiency Won't Give You a Competitive Advantage | Don Scheibenreif
    2026/08/21
    Send us Fan MailAI efficiency won't give you a competitive advantage. So what will?AI is rapidly changing how businesses operate—but most companies are still using it to make existing processes faster, cheaper and more efficient.In this episode of The AI Visionary Podcast, Joel Azariah and Milind sit down with Don Schibenreif, former Gartner executive and co-author of When Machines Become Customers, to explore why the next phase of AI will fundamentally change how companies compete.Don argues that only 1 in 10 AI projects currently delivers positive ROI, while only 1 in 50 delivers truly game-changing or disruptive capability. The problem? Too many organizations are focused on "everyday AI" and efficiency rather than using AI to create new business models and new sources of value. The conversation explores what CEOs and business leaders need to do differently—from preparing for machine customers and agentic commerce, to redesigning operating models, building trust in AI agents, developing AI-savvy workforces and deliberately protecting the human experiences that machines cannot replicate.Don also shares his thinking on the emerging "Great Customer Shift"—the transition from human customers to machine customers—and why organizations need to start preparing now. In this episode, you'll discover: Why AI efficiency alone won't create sustainable competitive advantage Why only 1 in 10 AI projects currently delivers positive ROI Why CEOs need to invest in game-changing AI, not just automation How AI agents are creating the era of the machine customer Why 15–20% of revenue could come from machine customers by 2030 How companies can prepare for agentic commerce Who should be responsible when an AI agent makes a mistake Why AI agents need guardrails, transparency and human oversight Why AI should be treated as a collaborator—not simply an employee replacement How organizations can build an AI-savvy workforce Why "moments of humanity" could become a competitive advantage How companies can use AI to create new business models, rather than simply cut costs Why leaders need to think beyond today's efficiency gains and focus on future sources of growth⏱️ Chapters00:00 The AI Agents That Don't Work For You00:35 What Happens When Your Customer Isn't Human?01:23 Why Machine Customers Are Finally Becoming Real04:04 Are Companies Ready for Machine Customers?05:06 The Three Phases of Machine Customers06:54 Who Is Responsible When AI Makes a Mistake?08:59 What Is an Autonomous Business?11:22 Will AI Replace Human Jobs?14:04 Why CEOs Are Getting AI Wrong16:00 The AI Leadership Trust Gap17:22 What Companies Get Wrong About AI Customers18:36 Are AI Agents the New Employees?20:55 AI Agents Aren't Employees—They're Collaborators23:37 Are CEOs Ready for Machine Customers?24:50 The Trust Problem With AI Agents27:55 How AI Will Change Brands and Marketing30:20 Why Most Companies Are Chasing Efficiency31:10 Why Only 1 in 10 AI Projects Deliver ROI32:42 Why AI Efficiency Won't Create Competitive Advantage34:10 The AI Companies Creating New Sources of Value36:54 How Don Predicted the Rise of Machine Customers39:01 When Everyone Has Access to the Same AI41:28 How to Protect Your Brand in an AI World43:01 Can AI Governance Keep Up With AI Speed?43:57 The Rise of the Guardian Agent45:14 Humans + AI: Who Should Be in Charge?46:47 Why Human Creativity Still Matters49:03 The "Moments of Humanity" Advantage51:55 The Great Customer Shift53:28 Rapid Fire: The Future of Machine Customers54:25 Will Machines Outnumber Human Customers?54:59 Final ThoughtsIf this episode made you rethink how your company should compete in the AI era, share it with another business leader.The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts ChannelsLinksYouTube Channelhttps://www.youtube.com/@TheAIVisionaryPodcastSpotify Channelhttps://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6LinkedIn Podcast Pagelinkedin.com/company/the-ai-visionary-podcastJoel Azariah LinkedIn Page...
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    55 分
  • How One Bank Democratized Data Across the Enterprise

    How One Bank Democratized Data Across the Enterprise
    2026/08/07
    Send us Fan MailHow do you transform a bank from data silos to 600 business users writing SQL?In this episode of ⁨@TheAIVisionaryPodcast⁩ Chief Data Officer Celine Le Cotonnec shares the playbook behind one of the most impressive data transformation stories in banking.Instead of creating another centralized data team, Celine's team built a single source of truth, empowered business users to become self-service, and transformed data from an IT function into an enterprise capability. The result? More than 600 business users writing SQL, over 70 non-IT employees building Python applications, and a culture where data drives decisions across the organization.If you're a CEO, Board Member, Chief Data Officer, Chief AI Officer, CIO, CTO, Head of Data, or business leader, this conversation provides practical lessons on building a truly data-driven organisation and preparing your workforce for the AI era.In this episode you'll discover:✅ How one bank enabled 600+ business users to write SQL and access trusted data independently.✅ Why creating a single source of truth transformed decision-making across the enterprise.✅ The hub-and-spoke operating model that scaled data access without creating bottlenecks.✅ Why business users—not just data teams—should own analytics and reporting.✅ How the organization evolved from exchanging Excel spreadsheets to sharing SQL queries.✅ Why SQL, Python and AI literacy are becoming core business skills.✅ How AI is reshaping relationship management in private banking.✅ Why HR should play a central role in AI transformation and agentic organizations.✅ The relationship between Data, IT and AI—and why collaboration matters more than ever.✅ How to think about AI governance, guardrails, and measuring ROI from enterprise AI initiatives.Chapters00:00 Introduction00:45 The challenge of multiple versions of the truth03:00 Building a single source of truth05:23 Why people don't want to share data06:23 Why business users—not data teams—should build dashboards09:40 From Excel to SQL: Creating a data-driven culture11:36 How to get hundreds of business users learning SQL12:49 AI's impact on relationship managers14:08 Why HR is critical to AI transformation17:25 Designing organizations for the age of AI agents22:00 Why everyone should learn Python23:24 Motivating non-technical employees to code24:44 Data vs IT: Lessons from the transformation journey27:24 Governing citizen development and AI at scale39:41 Governance, culture and AI guardrails42:18 Who should own AI governance?43:49 Measuring ROI from AI and data transformation50:43 Rapid Fire Questions👍 If you enjoyed this conversation, please Like, Subscribe, and Share this episode with your colleagues.#AI #ArtificialIntelligence #DataStrategy #DataLeadership #ChiefDataOfficer #DataCulture #SQL #Python #BusinessTransformation #DigitalTransformation #AILeadership #DataGovernance #EnterpriseAI #DataAnalytics #TheAIVisionaryPodcastThe AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts ChannelsLinksYouTube Channelhttps://www.youtube.com/@TheAIVisionaryPodcastSpotify Channelhttps://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6LinkedIn Podcast Pagelinkedin.com/company/the-ai-visionary-podcastJoel Azariah LinkedIn Page...
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    52 分
  • Why Most Companies Still Get AI Wrong | Anthropic & xAI Investor

    Why Most Companies Still Get AI Wrong | Anthropic & xAI Investor
    2026/07/21
    Send us Fan MailArtificial Intelligence is transforming every industry, yet most companies are still struggling to generate meaningful ROI from their AI investments.In this episode of The AI Visionary Podcast, host Joel Azariah sits down with Matthias Hendrichs, Managing Director, APAC at Pit, former Apple executive, founder of a US$1.5 billion technology company, and investor in leading AI companies including Anthropic and xAI.Drawing on decades of experience building, scaling, and investing in technology businesses, Matthias shares why most organisations are approaching AI transformation the wrong way and what CEOs, boards, and business leaders must do differently to create sustainable competitive advantage.If you're responsible for AI strategy, digital transformation, or business growth, this episode provides practical insights that go far beyond today's AI hype.In This Episode✅ Why most companies still get AI wrong✅ Why AI transformation is an organisational challenge—not an IT project✅ The AI ROI gap holding enterprises back✅ How AI agents will reshape the future of work✅ Why workflow redesign matters more than choosing the latest model✅ The biggest misconceptions about enterprise AI✅ How CEOs should think about AI investments✅ The future of SaaS in the age of AI✅ Will AI replace jobs—or redefine them?✅ The investment outlook for the next generation of AI companiesTimestamps00:00 – Why AI transformation isn't a weekend project00:25 – Meet Matthias Hendrichs01:11 – Why most companies struggle to generate AI ROI07:15 – Why AI transformation is different from previous technology waves11:52 – Will AI eliminate junior jobs?14:52 – The future of enterprise AI over the next five years17:15 – Is the SaaS apocalypse real?23:48 – The biggest risks of AI transformation26:30 – DeepSeek, Anthropic, xAI and the future of AI investing30:40 – What every CEO should know about AI risk35:39 – Why AI budgets are accelerating40:14 – Is AI really replacing jobs?42:57 – Why companies still get AI wrong47:29 – Do graduates still have a future?48:55 – Are trillion-dollar AI valuations justified?53:49 – Rapid Fire Round56:30 – Final thoughtsAbout Matthias HendrichsMatthias Hendrichs is Managing Director, APAC at Pit, a former Apple executive, founder of a US$1.5 billion technology company, and an investor in leading AI companies including Anthropic and xAI. He advises enterprises and investors on AI, digital transformation, and technology strategy, bringing a unique perspective from both operating and investing in some of the world's most influential technology businesses.The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts ChannelsLinksYouTube Channelhttps://www.youtube.com/@TheAIVisionaryPodcastSpotify Channelhttps://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6LinkedIn Podcast Pagelinkedin.com/company/the-ai-visionary-podcastJoel Azariah LinkedIn Page...
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    55 分
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