LaunchPod: Smarter AI Models Won’t Improve Your Deployment

LaunchPod is a product management podcast hosted by LogRocket’s VP of Marketing, Jeff Wharton, where he talks with product leaders about the problems they’ve faced in their careers, how they found solutions to those problems, and how you can apply these solutions in your day-to-day product role.

In this episode, we’re joined by Maryam Ashoori, VP of Product and Engineering at IBM’s Watsonx platform. With a background that includes 2 master’s degrees in AI, a PhD in Systems Design Engineering, and holding over 30 patents at IBM, he has been at the forefront for over a decade. Currently leading the areas of Agentic AI and AI Governance at IBM, Maryam is the bridge between the theoretical boundaries of AI and the reality of deployment in messy enterprises.



In this episode, Maryam:

  • Explaining why AI has been stuck in pilot purgatory longer than expected, and what you need to do today for successful enterprise adoption
  • Calling out the evils of the “biggest and best model” crowd, and why often smaller, more focused tools are the right choice
  • Explains how to build an agnostic architecture that can handle the realities of an AI world where models evolve faster than anyone can keep up

Watch the full episode with Maryam here:



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LogRocket identifies pain points in the user experience so you can make informed decisions about the product and design changes you need to make to achieve your goals.

With LogRocket, you can understand the scope of issues affecting your product and prioritize the changes that need to be made. LogRocket simplifies workflows by enabling Engineering, Product, UX, and Design teams to work from the same data as you, eliminating confusion about what needs to be done.

Get your team on the same page — try LogRocket today.

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