AI in 2025 promises intelligent action, not just smarter chat. But are enterprises prepared for the agentic shift and the complex reliability hurdles it brings?
Join Conor Bronsdon on Chain of Thought with fellow co-hosts and Galileo co-founders, Vikram Chatterji (CEO) and Atindriyo Sanyal (CTO), as they explore this pivotal transformation. They discuss how generative AI is evolving from a simple tool into a powerful engine for enterprise task automation, a significant advance driving the pursuit of substantial ROI. This shift is also fueling what Vikram observes as a "gold rush" for middleware and frameworks, alongside healthy skepticism about making widespread agentic task completion a practical reality.
As these AI systems grow into highly complex, compound structures—often incorporating multimodal inputs and multi-agent designs—Vikram and Atin address the critical challenges around debugging, achieving reliability, and solving the profound measurement problem. They share Galileo's vision for an AI reliability platform designed to tame these intricate systems through robust guardrailing, advanced metric engines like Luna, and actionable developer insights. Tune in to understand how the industry is moving beyond point-in-time evaluations to continuous AI reliability, crucial for building trustworthy, high-performing AI applications at scale.
Chapters
00:00 Welcome and Introductions
01:05 Generative AI and Task Completion
02:13 Middleware and Orchestration Systems
03:17 Enterprise Adoption and Challenges
05:55 Multimodal AI and Future Plans
08:37 AI Reliability and Evaluation
11:08 Complex AI Systems and Developer Challenges
13:45 Galileo's Vision and Product Roadmap
18:59 Modern AI Evaluation Agents
20:10 Galileo's Powerful SDK and Tools
21:24 The Importance of Observability and Robust Testing
22:27 The Rise of Vibe Coding
24:48 Balancing Creativity and Reliability in AI
31:26 Enterprise Adoption of AI Systems
36:59 Challenges and Opportunities in Regulated Industries
42:10 Future of AI Reliability and Industry Impact
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Website: galileo.ai
Read: Galileo Optimizes Enterprise–Scale Agentic AI Stack with NVIDIA
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