How to Choose, Use, and Trust AI Models with Manav Gupta, Vice President and CTO, IBM Canada {Replay}

Making Data Simple

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On this replay of Making Data Simple, Manav Gupta, VP and CTO of IBM Canada, jumps straight into the world of large language models and what they really mean for businesses trying to scale AI. From how today’s models are built and tuned, to where the next generation is headed, Manav translates complex AI concepts into practical guidance for leaders, practitioners, and anyone trying to cut through the hype.

The discussion spans everything from model architectures and IBM’s Granite family, to how to pick the right model for your use case, balance innovation with governance, and build the skills needed to stay relevant in an AI-first world. If you want a clear, no-nonsense guide to “all things AI models” from someone advising enterprise clients every day, this replay is for you.

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• 02:04 Jumping Right into AI!
• 02:59 Meet Manav Gupta
• 08:17 Let's Talk All Things Models
• 27:20 How to Choose the Right Models
• 31:48 Where are the Models Going???
• 46:01 How to Learn AI

LinkedIn: https://www.linkedin.com/in/mgupta76/
IBM Granite Models: https://www.ibm.com/granite

Want to be featured as a guest on Making Data Simple? Reach out to [email protected] and share why you should be next.

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#makingdatasimplepodcast #MakingDataSimple #AI #LargeLanguageModels #AIModels #ArtificialIntelligence #IBMCanada #ManavGupta #AIInnovation #TechLeadership #TechPodcast #IBMGranite #LearnAI

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Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Chapter

1. How to Choose, Use, and Trust AI Models with Manav Gupta, Vice President and CTO, IBM Canada {Replay} (00:00:00)

2. Jumping Right into AI! (00:02:04)

3. Meet Manav Gupta (00:02:59)

4. Let's Talk All Things Models (00:08:17)

5. How to Choose the Right Models (00:27:20)

6. Where are the Models Going??? (00:31:48)

7. How to Learn AI (00:46:01)