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.

Healthcare

The Cybersecurity Dilemma in Healthcare

How do we balance transformation, growth and security in healthcare under budget constraints? CISO Karl West and other IT leaders dive into the issue. Listen in.

Security

SASE Converges Cloud, Network and Security

The role of the data center as a communications hub is ending. Take a deeper look at what SASE is and how it’s poised to change the security landscape, especially in securing high-risk users.

Security

Securing IoT Devices and the New “Smart” Normal

The new, “smart” normal brings with it new safety measures, automated processes and a continued focus on efficiency as organizations strive to do less with more—but enhanced workplace safety may require enhanced security as well. How can you be sure that your new, “smart” devices or areas are secure?