『The Hidden Reason Why Companies Waste Millions on AI』のカバーアート

The Hidden Reason Why Companies Waste Millions on AI

The Hidden Reason Why Companies Waste Millions on AI

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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 ...
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