In this episode, Randy Bean (Founder, Data & AI Leadership Exchange) and Andreas Welsch discuss going beyond quick-win use cases for Generative AI. Randy shares perspective on data and AI leadership, spanning more than 35 years of experience in the industry, and provides valuable advice for listeners looking to move from quick wins to strategic AI programs in business.

Key topics:
- See the parallels (good and bad) between the Generative AI and Machine Learning hype?
- Determine the top kinds of Generative AI use cases for organizations
- Learn about the next wave after the quick-win use cases (generation, summarization, coding, …)?
- Prepare for the biggest challenges that AI leaders face

Listen to the full episode to hear how you can:
- Address leaders’ exaggerated AI enthusiasm and pessimism
- Get key results from long-running Fortune 1000 data & AI survey
- Learn how Generative AI can support healthcare staff with compassionate medical notes
- Manage expectations with a realistic and pragmatic mindset

Watch this episode on YouTube:
https://youtu.be/wZc8HaSWw-s

Questions or suggestions? Send me a Text Message.

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Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

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Go Beyond Quick-Win Use Cases For Generative AI (Guest: Randy Bean)