How Applying Labels and Other Tactics Keep AI Transparent
Understanding how AI models and AI-based applications work, what they can and cannot do, and where there is potential for ethical issues is core to putting AI to work for your organization.
Read More Rick Perry and Breaking Down Hope vs. Hype at The AI Summit
Learn some of the aspirations government has for AI and ways to see through the froth.
Read More AIOps Vendors Should Prepare for a Litmus Test in 2020
Getting past the hype and proving they can automate aspects of DevOps may be crucial in the coming year.
Read More There's No Opting Out of the California Consumer Privacy Act
As the countdown to January continues, it's up to executive teams to ensure their companies are complying and preparing for what's coming.
Read More AWS Offers Help for Enterprise Machine Learning Efforts
Enterprises have been slow to move their pilot machine learning and AI projects into production, but now Amazon AWS is offering a host of new services to help.
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