How AI AGENTS WILL WIPE Out B2B Industry 🤯 | IBM AI Product leader Reveals AI Transformation скачать в хорошем качестве

How AI AGENTS WILL WIPE Out B2B Industry 🤯 | IBM AI Product leader Reveals AI Transformation

The future of AI isn’t about prompts or chat interfaces. It’s about AI agents running workflows, decisions, and systems inside enterprises. In this episode of AI-GNITION, Kevin Thomas ,AI Product Manager at IBM, ex-Amazon & Salesforce ,explains how enterprise AI agents are moving from experiments to core infrastructure. • 00:00 – Introduction: Meet Kevin Thomas The journey through three tech giants: Amazon, Salesforce, and IBM. • 03:15 – From Consulting to Product Management Why Kevin chose PM over Management Consulting and the power of owning your own vision. • 06:40 – The Amazon Lesson: "Volume Never Means Everything" How a tiny change in a product description can lead to a 20% drop in sales and why more data isn't always better data. • 09:45 – Salesforce & The AI Pivot Moving to Hyderabad’s booming tech scene and transitioning into AI operations. • 11:30 – Building an AI MVP in 4 Weeks A "hot take" on how AI can automate 90% of QA and why developers might actually be "winning" by working less. • 14:15 – The AI Bubble: Reality or Hype? Why trillions of dollars in investment mean AI is here to stay, even if the valuation bubble pops. • 16:00 – Guiding Metrics for AI Leaders Prioritizing adoption over acquisition and why a deal isn’t "won" until the customer actually trusts the AI to act. • 18:30 – The Psychology of Risk in B2B Why customers will reject an 80% improvement if there is a 2% chance the system might break. • 20:15 – Technical Deep Dive: Chunking & Memory A layman’s guide to Chunking and why current LLMs still haven't fully "cracked" the memory layer. • 22:30 – Security, Guardrails, and Ethics The non-negotiables for early adopters and why "human-like" responses aren't always what B2B users need. • 24:45 – The "Wipe Coding" Nightmare The satire and reality of cleaning up AI-generated coding messes and the "architect’s nightmare." • 26:50 – The Future of Agentic AI How agents will solve complex use cases like generating enterprise-level financial reports in minutes. • 30:15 – Pitching to CXOs: No Jargon Allowed The framework for communicating with leadership: "Don't tell what you know; tell what the user wants to know." • 33:30 – The Evolution of the PM Role How PMs are becoming more "scientific and creative" through rapid prototyping and influencing without authority. • 35:45 – Writing: The PM Superpower Why documenting experiments and storytelling on LinkedIn makes you a more potent leader. • 37:20 – Career Truths: Is PM for Everyone? The reality of high-pay vs. high-pressure and why the "CEO of the product" label is often a myth. • 39:45 – Hiring for the "Learning Curve" Why Kevin prioritizes attitude and teachability over SQL skills in the rapidly evolving AI landscape. This episode covers: The rise of autonomous and multi-agent systems in B2B Why enterprise AI adoption looks very different from consumer AI How AI agents turn guesswork into data-driven guidance The personalisation paradox in enterprise products What AI builders and PMs need to prepare for before 2026 If you’re watching AI agent podcasts, following enterprise AI trends, or building products for scale, this conversation is essential. 👉 Subscribe to AI-GNITION for practical insights on AI, enterprise products, and building for the AI-first decade. #AI #AIAgents #ArtificialIntelligence #EnterpriseAI #B2B #FutureOfAI #AITrends #Automation #AgenticAI #AutonomousAI #GenerativeAI #MachineLearning #TechPodcast #BusinessPodcast #AIProduct #ProductManagement #AIProductManager #AIBuilder #EnterpriseSoftware #FutureOfWork #DigitalTransformation #CloudComputing #DataScience #AIEconomy #AI2026 #Technology #Innovation #Leadership #SaaS #Infrastructure