Humans Still Required: Integrating Machine Learning Successfully and Securely

Authors: Celeste Fralick, Cherie Caswell Dost

1 minute read

We’ve all heard the buzz about machine learning and artificial intelligence. The terms cover all kinds of exciting and cutting edge tools, but the technology is also evolving all the time. So, how should companies assess machine learning models to see if they’re right for their business? And, how can they integrate the right model, reap the benefits, and keep their risk-management in check? To learn more, we spoke with Celeste Fralick, chief data scientist and senior principal engineer for McAfee.

Listen to this episode to learn:

The benefits of integrating machine learning tools
How to choose the right model for your data and your business
How human involvement in machine learning improves accuracy up to 30%
Who “fake data-scientsts” are and how you can avoid them

Listen to the podcast recording above or subscribe via iTunes, Stitcher, Google Play, and TuneIn.

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