Charlene Li - Proven Strategies for Integrating AI in the Workplace

HR Data Labs podcast

Content provided by David Turetsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Turetsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

7d ago 43:35

MP3•Episode home

Send us a text

Charlene Li, author and analyst, joins us this episode to discuss proven strategies for safely and successfully rolling out AI solutions to employees within an organization. She also compares the roles of generative AI and AI agents in the workplace.

[0:00] Introduction

Welcome, Charlene!
Today’s Topic: Proven Strategies for Integrating AI in the Workplace

[5:43] What are the biggest challenges HR faces with moving Generative AI into the workplace?

Developing a strategic, rolling 18 month plan for AI implementation
How HR can avoid stumbling through an AI rollout with a proper governance plan

[15:15] How can HR teams avoid stumbling with AI initiatives?

Building a minimum viable team to champion the AI integration strategy
The importance of training everyone in the organization

[31:25] How does generative AI compare to AI agents?

Managing a team of people and AI agents
Understanding how AI agents are designed and how to best prompt them

[42:47] Closing

Thanks for listening!

Quick Quote

“Yes, humans need to be in the loop, but the real power of AI is when you take the human out of the loop because you trust it.”

To schedule a meeting with us: https://salary.com/hrdlconsulting

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/

Produced by Affogato Media

232 episodes

#MBA #Business #Human Resources #Analytics #Data #People Insights #People #Big Data #Hr Analytics #David Turetsky #Careers #Insight #Metric #HR Technology