Business AI in 2026: What’s Working, What’s Not, and What’s Coming (w/ Databricks CTO Matei Zaharia)
Автор: Josue Bogran Channel
Загружено: 2026-01-18
Просмотров: 766
@Databricks Cofounder and CTO Matei Zaharia joins me to cut through the noise around AI adoption. We cover what’s working, what’s not, and how executives should approach AI in 2026, from ROI and workflow design to mindset shifts, model limitations, and yes, Agentic AI.
Chapters
00:00 – Intro
01:12 – Are current LLMs good enough to deliver ROI?
02:33 – What happens if no new models are released?
04:54 – Can AI replace employees entirely?
05:07 – What can AI do reliably today?
06:53 – What’s are the biggest non-technical reasons AI efforts fail?
08:08 – How can a CEO or CTO tell if AI is a value driver or a cost center?
12:41 – Which workflows are best suited for Agentic AI?
16:23 – How are teams overcoming LLM flaws in production?
18:37 – When should companies not use AI, even if it works?
20:02 – The shift from deterministic to probabilistic thinking
26:00 – How to reason about ROI in probabilistic systems
31:10 – For skeptical teams: how to start with AI
33:35 – What should teams do over the next 12 months to prepare for AI?
34:07 – How does Agent Bricks help build trustworthy AI faster?
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