Episode 64

Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran

Data Science Leaders | 41:41 | January 20, 2024

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The biggest challenges to driving impact with AI have little to do with AI and everything to do with humans. Nowhere is this greater than with GenAI where myths and misconceptions abound regarding how organizations should be designing, developing and operationalizing GenAI-based applications. In this episode with Rowan Curran, industry analyst at Forrester Research, we debunk the most harmful myths and discuss how AI teams are shattering these myths and delivering transformative outcomes.

Join us as we discuss:

The role of data scientists and ML engineers in GenAI projects
Successful approaches to prompt engineering
The linkages between MLOps and LLMOps

About the Show

Cindy Tu

Director of IT & Data Audit, Capital One

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Shub Agarwal

Founder, AI Trust Lab @ USC

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Building trust for transformation in enterprise AI

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