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Risk vs reward in the world of AI

Baker McKenzie by Baker McKenzie

Feb 1, 202418:29Business

The vast potential of AI is apparent in every sector, but the speed of advancement is raising major questions and concerns. Join Danielle Benecke (founder and global head of Baker McKenzie's Machine Learning Practice), M...

About This Episode

Risk vs reward in the world of AI is an episode from Baker McKenzie by Baker McKenzie. The vast potential of AI is apparent in every sector, but the speed of advancement is raising major questions and concerns. Join Danielle Benecke (founde...

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Episode Details

Published Feb 1, 2024, 18:29 long, audio available.

Questions About This Episode

What is Risk vs reward in the world of AI about?

The vast potential of AI is apparent in every sector, but the speed of advancement is raising major questions and concerns. Join Danielle Benecke (founder and global head of Baker McKenzie's Machine Learning Practice), Max Mindt (Data Scientist, Deutsche Bank) and Tobias Schreiegg (Director of Regulatory Affairs, Siemens Healthineers) in an industry deep-dive to understand how the finance, healthcare and legal sectors are balancing AI's benefits and challenges.

Where can I listen to Risk vs reward in the world of AI?

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Which podcast is Risk vs reward in the world of AI from?

Risk vs reward in the world of AI is an episode from Baker McKenzie by Baker McKenzie.

How long is this episode?

This episode is 18:29 long.

When was this episode published?

This episode was published on Feb 1, 2024.

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Are there related episodes from Baker McKenzie?

Yes. This page shows related episodes from Baker McKenzie when more episodes are available from the podcast feed.

Quick Answers About This Episode

Where can I listen to Risk vs reward in the world of AI?

You can listen to Risk vs reward in the world of AI on this page when the episode audio is available from the podcast feed.

Which podcast is this episode from?

Risk vs reward in the world of AI is from Baker McKenzie by Baker McKenzie.

What are the episode details?

Published Feb 1, 2024 and 18:29 long