Dogfighting And Checklists | Getting Enterprises Ready for Agentic AI with Brian Danaher скачать в хорошем качестве

Dogfighting And Checklists | Getting Enterprises Ready for Agentic AI with Brian Danaher

In this episode of The Rise Podcast, Abhishek speaks with Brian Danaher, a technology leader with over 25 years of enterprise experience at VMware and NetApp, about what it truly takes to adopt AI at scale. Brian explains why the real risk for enterprises today is not moving fast enough on AI—and why agentic AI represents a fundamental shift from traditional automation. They explore how leaders should balance innovation with governance and where enterprises should focus first to unlock real ROI. Key topics include: Why agentic AI is different from past automation Identifying high-ROI, cross-functional business processes The importance of data governance and knowledge management Workforce transformation and humans-in-the-loop Why experimentation matters more than perfection A grounded, practical conversation for enterprise leaders navigating AI transformation. 🔑 Takeaway Enterprise AI isn’t a technology problem—it’s a leadership, process, and governance challenge. Organizations that move fastest aren’t chasing tools; they’re redesigning workflows, cleaning up data, and defining clear ownership so humans and AI agents can scale responsibly together. 🎙️ Soundbite “AI doesn’t fail in enterprises because of technology. It fails because no one decides who owns it.” 00:00 – Why Enterprise AI Is Different How large organizations approach AI vs startups 03:40 – The Real Risk: Not Adopting AI Fast Enough Why waiting is more dangerous than experimenting 07:55 – Automation vs Agentic AI What fundamentally changed after GPT 12:10 – Democratization of Intelligence Why AI time-to-value collapsed overnight 16:30 – Where Enterprises See the Highest ROI Complex, cross-functional business processes 21:05 – Why Old Automation Tools Fell Short Human handoffs, approvals, and data translation 25:40 – Governance, Guardrails, and Ownership Why AI needs structure without killing speed 30:50 – Workforce Transformation & Humans in the Loop How roles change when agents become co-workers 35:45 – Knowledge Management Is the Hidden Advantage Why “shelfware” becomes AI instruction manuals 41:10 – Orchestration, Platforms, and Systems Thinking Why point solutions won’t scale enterprise AI 45:10 – Final Takeaways for Enterprise Leaders How to move fast without losing control