『The AI Visionary Podcast』のカバーアート

The AI Visionary Podcast

The AI Visionary Podcast

著者: Joel
無料で聴く

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
エピソード
  • 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...
    続きを読む 一部表示
    55 分
  • The Hidden Reason Why Companies Waste Millions on AI
    2026/06/30
    Send us Fan MailMost companies are pouring millions into AI and have very little to show for it.The problem isn't the technology. It isn't the budget. And it isn't the team.Dr. Brindha Jeyaraman has seen it from every angle as a regulator, inside big tech, as Head of AI Governance at a major regional bank, and now as founder of an AI governance infrastructure company. The reason most AI transformations fail starts at the top.In this episode, Brindha breaks down what most organizations are getting wrong about enterprise AI strategy and what the ones succeeding are doing differently.We cover:- Why AI projects fail to scale beyond the experiment stage- The "braking system" case for embedding AI governance frameworks into your architecture from day one- Why the bottom of your organization is moving faster than the top — and what that leadership gap is costing you- The real reason hiring consultants to lead your AI implementation backfires- How AI has cut cybersecurity exploitation speed from months to hours and what that means for enterprise risk management- What the right AI team structure actually looks like today — and why most organizations have it upside down- Why human in the loop is one of the most misunderstood concepts in LLM deploymentWhether you are a Chief AI Officer, Chief Data Officer, Head of AI, AI governance lead, or senior executive navigating AI transformation in banking, financial services, or regulated industries — this conversation gives you a practitioner's honest view of what actually works. If you are researching enterprise AI strategy, AI governance frameworks, LLM deployment best practices, agentic AI implementation, AI risk management, how to scale AI across your organization, or why so many AI projects fail to deliver ROI — this episode covers it all.-⏱️ CHAPTERS00:00 — Why AI Replacements Still Need Human Reviewers01:32 — Brinda's Journey: Regulator, Big Tech, Bank, Founder01:55 — How a Family Health Crisis Shaped Her View of AI's Purpose03:12 — What Senior Executives Get Wrong About Deploying LLMs at Scale05:29 — Operationalizing AI at the Speed of Change06:37 — Why Organizations Get Distracted by New Tech Instead of Readiness08:22 — Experimentation vs ROI — The Tension No One Talks About09:52 — Why Companies Overestimate How Far Along Their AI Journey They Are10:38 — The Role of Data Strategy, AI Strategy and Board-Level Buy-In12:26 — Why the Top of the Organization Is Falling Behind13:01 — What Separates Companies That Accelerate From Those That Stall14:31 — The Middle Management Problem: Who Actually Gets the AI Mandate15:50 — How to Push Leadership Into the AI Journey From the Start16:45 — The Case for an AI Council17:12 — Why Siloed Ownership Kills AI Transformation18:05 — Building AI Foundations: Data, Knowledge and Tech Readiness20:03 — "AI Governance Is Just Added Cost" — Brinda's Response22:05 — Why Hiring Consultants to Lead Your AI Strategy Backfires23:27 — Where the True Risk of AI Implementation Actually Lies25:21 — The Human in the Loop Problem: Speed, Accountability and Design26:18 — How to Design Human Oversight Into an AI Architecture28:15 — How Organizational Culture Shapes Your AI Governance Framework30:27 — What Worked Across Regulator, Big Tech, Bank and Startup31:00 — Why Data Teams Are the Hardest to Bring Along32:49 — What Actually Made Brinda Succeed Across Very Different Environments34:18 — Why What Works in Big Tech Won't Work in a Bank36:08 — The Hardest Leadership Conversations on AI Risk38:28 — Posting AI Success Stories on LinkedIn Without the ROI38:51 — Building the Right AI Team Structure Today41:37 — Andrej Karpathy Stopped Writing Code — What That Means for Teams42:09 — Why Coding Skills Still Matter in an LLM World43:51 — How AI Team Structures Will Evolve Over the Next Two Years45:49 — Are Companies Justified in Cutting Headcount Because of AI47:02 — If You Could Redesign AI Governance From Scratch48:46 — Claude Mythos, Cybersecurity and the New Threat Landscape51:21 — Exploitation Speed: From Months to Hours52:02 — Governance as the Answer to AI-Enabled Cyber Threats53:45 — Rapid Fire Round Begins54:07 — ChatGPT, Gemini or Claude?55:27 — Head of Data Governance or Head of AI Governance?55:34 — Centralized vs Decentralized AI Teams55:41 — Most Overrated AI Trend Right Now55:59 — Most Underrated AI Trend56:23 — One Global AI Regulation You'd Implement Tomorrow🎙️ The AI Visionary Podcast is hosted by Joel Azariah and Milind candid conversations with the leaders shaping AI.#AIGovernance #EnterpriseAI #LLMOps #AIStrategy #AILeadership #AITransformation #AIRisk #ResponsibleAI #ChiefAIOfficer #AIImplementation #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 ...
    続きを読む 一部表示
    58 分
  • Why Most AI Projects Never Deliver ROI - A Salesforce CTO's Fix
    2026/06/08
    Send us Fan MailAI Transformation or AI Theater? What CEOs Get Wrong About AI ROIMost companies are investing heavily in AI.But how many are actually seeing meaningful business results?In this episode of the AI Visionary Podcast, we sit down with Gavin Barfield, CTO & VP Solutions for Salesforce ASEAN, to explore the difference between AI experimentation and real AI transformation.From Agentic AI and customer experience to leadership, trust, adoption, and ROI, Gavin shares practical insights from working with some of the region's most innovative organizations.If you're a CEO, board member, business leader, AI practitioner, or technology executive trying to understand how to unlock value from AI investments, this conversation is for you.In This Episode✅ Why many AI initiatives fail to deliver ROI✅ The difference between AI transformation and AI theater✅ Why LLMs alone are not enough✅ The critical role of context in AI success✅ How Agentic AI is changing customer experience✅ What leaders get wrong about AI adoption✅ The future of AI-powered customer interactions✅ Why trust is the foundation of successful AI✅ Real-world examples of AI delivering business value✅ How leading organizations are preparing for an AI-first futureTimestamps00:00 – Introduction and Agentforce World Tour Singapore00:41 – How Gavin stays ahead in the age of AI01:37 – AI Transformation vs AI Theater03:49 – Why most AI projects struggle with ROI05:36 – How Agentic AI is changing customer experience07:53 – The rise of AI agents as customers08:39 – How AI agents will interact with software differently10:35 – The biggest misconception about AI agents12:26 – Why context matters more than intelligence13:39 – Leadership lessons for AI transformation15:02 – Strategy vs use cases: where companies go wrong15:50 – A real AI ROI success story17:53 – How to identify high-impact AI opportunities18:45 – Rapid Fire Round19:01 – Gemini, Claude, or ChatGPT?19:45 – The most underrated AI trend20:48 – The most overrated AI trend21:53 – Gavin's favorite AI tool22:45 – Final thoughtsKey TakeawaysThe companies generating the greatest ROI from AI are not simply deploying more models.They're redesigning how work gets done.The future belongs to organizations that combine trusted data, business context, and Agentic AI to create entirely new ways of serving customers and operating at scale.🎙 Subscribe to the AI Visionary Podcast for conversations with world-leading AI executives, founders, researchers, and innovators shaping the future of business.#AI #ArtificialIntelligence #AgenticAI #Salesforce #Agentforce #DigitalTransformation #BusinessStrategy #CustomerExperience #GenerativeAI #Leadership #Innovation #AIROI #FutureOfWork #EnterpriseAI #TechnologyLeadershipThe 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...
    続きを読む 一部表示
    23 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません