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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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Machines won’t replace threat hunters until they master this one skill

Lacework

It’s difficult not to notice that machines have taken over many tasks once run by humans—like the customer service bot you chat with when trying to cancel a subscription or the self-checkout machine you use at the grocery store. As a writer, I wonder if artificial intelligence writing tools could make my own job obsolete.

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For IT leaders, operationalized gen AI is still a moving target

CIO

survey said infrastructure was the single biggest challenge for companies looking to productionize large language models (LLMs). Now it becomes a service I can call and I don’t have to worry about training,” says Khan. That’s fine, but language models are great for language.

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AWS re:Invent 2019: Day Two Recap

Linux Academy

Hear from two of our training architects, Craig Arcuri and Moosa Khalid as they discuss their review of today’s festivities. This fully integrated IDE (Integrated Development Environment) is specifically for Machine Learning. So far we’re having a blast at AWS re:Invent, 2019 and it’s only the second day!

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