The Emergence Of An Agentic Workforce With Jim Rowan From Deloitte Bringing Data And AI To Life podcast

The Emergence of an Agentic Workforce with Jim Rowan from Deloitte

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Amy Horowitz, host and VP of Data Governance and Data Integration Solution Sales at Informatica, is joined by the esteemed Jim Rowan, Principal and Head of AI Practice at Deloitte US on this week's episode of Bringing Data and AI to Life. Jim came on to share some insights on the evolving landscape of AI adoption and the challenges organizations face as they integrate AI into their operations. Some topics that the pair touch on include:

Jim discusses the importance of cultivating a culture ready for the technological advancements that are already here and on the way – e.g. AI.
ey insights from Deloitte's ongoing generative AI survey, revealing the readiness of organizations to integrate AI and the implications for talent development and data management.
A chat around successful AI use cases across industries, including contact centers and predictive analytics – paying heed to these can help us understand how a robust data management platform can enhance AI initiatives.

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This podcast is brought to you by Informatica, the leader in enterprise cloud data management.

Episode Highlights:

00:00 - Intro

03:35 - Culture Shock: AI’s Impact on Organizations

07:49 - From POC to Production

12:16 - Practical AI Strategies for All Stages

18:02 - The Partnership of Deloitte and Informatica

19:55 - How to Be a Better Leader

24:45 - Outro

If you enjoyed this episode, please visit:

Informatica.com

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Previous guests include:
Salema Rice host of Data Governance and Data Integration Solution Sales, Willem Koenders of ZS Associates, Tanja Ubert of Rotterdam University of Applied Sciences, Graeme Thompson of Informatica
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Jim discusses the importance of cultivating a culture ready for the technological advancements that are already here and on the way – e.g. AI.
ey insights from Deloitte's ongoing generative AI survey, revealing the readiness of organizations to integrate AI and the implications for talent development and data management.
A chat around successful AI use cases across industries, including contact centers and predictive analytics – paying heed to these can help us understand how a robust data management platform can enhance AI initiatives.