Chain of Thought | AI Agents, Infrastructure & Engineering

Building trustworthy, scalable AI isn't just about models; it's about navigating a complex ecosystem of tools and regulations. Join hosts Conor Bronsdon and Atindriyo Sanyal as they explore these challenges with Dr. Maryam Ashoori, Head of Product for watsonx AI at IBM. To meet these challenges, Maryam explains how watsonx simplifies the AI stack, automates pipelines, and empowers enterprises to scale their AI operations while optimizing costs rapidly.Maryam also explores IBM's strategy for leveraging open-source and commercial models, enabling the potential of agentic systems. Plus, she shares insights from a recent survey of 1,000 developers, revealing key takeaways about the current landscape for enterprise AI implementation, and what results mean for both developers and the enterprises they support.Chapters00:00 Introducing Dr. Maryam Ashoori01:13 Overview of IBM's AI Strategy01:47 Enterprise AI Challenges and Solutions04:40 IBM's Approach to AI Models and Tooling09:52 Simplifying the AI Stack12:20 Challenges in Agentic AI15:55 Importance of Data Management and Lineage21:11 IBM's Strategy for Gen AI Products23:43 Scaling Challenges with Agents27:40 Effective Agent Evaluation Systems35:18 Gaps and Opportunities in AI Tooling41:35 Success Stories with watsonx44:00 Closing RemarksFollow the hostsFollow⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠Follow⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠Follow⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Today's Guest(s)watsonx.ai Check out Galileo⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠

Show Notes

Building trustworthy, scalable AI isn't just about models; it's about navigating a complex ecosystem of tools and regulations. 

Join hosts Conor Bronsdon and Atindriyo Sanyal as they explore these challenges with Dr. Maryam Ashoori, Head of Product for watsonx AI at IBM. To meet these challenges, Maryam explains how watsonx simplifies the AI stack, automates pipelines, and empowers enterprises to scale their AI operations while optimizing costs rapidly.

Maryam also explores IBM's strategy for leveraging open-source and commercial models, enabling the potential of agentic systems. Plus, she shares insights from a recent survey of 1,000 developers, revealing key takeaways about the current landscape for enterprise AI implementation, and what results mean for both developers and the enterprises they support.


Chapters

00:00 Introducing Dr. Maryam Ashoori

01:13 Overview of IBM's AI Strategy

01:47 Enterprise AI Challenges and Solutions

04:40 IBM's Approach to AI Models and Tooling

09:52 Simplifying the AI Stack

12:20 Challenges in Agentic AI

15:55 Importance of Data Management and Lineage

21:11 IBM's Strategy for Gen AI Products

23:43 Scaling Challenges with Agents

27:40 Effective Agent Evaluation Systems

35:18 Gaps and Opportunities in AI Tooling

41:35 Success Stories with watsonx

44:00 Closing Remarks


Follow the hosts

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠


Follow Today's Guest(s)

watsonx.ai


Check out Galileo

⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠

What is Chain of Thought | AI Agents, Infrastructure & Engineering?

AI is reshaping infrastructure, strategy, and entire industries. Host Conor Bronsdon talks to the engineers, founders, and researchers building breakthrough AI systems about what it actually takes to ship AI in production, where the opportunities lie, and how leaders should think about the strategic bets ahead.

Chain of Thought translates technical depth into actionable insights for builders and decision-makers. New episodes bi-weekly.

Conor Bronsdon is an angel investor in AI and dev tools, Head of Technical Ecosystem at Modular, and previously led growth at AI startups Galileo and LinearB.