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
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