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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Using machine learning algorithms, a decision can be rendered in near real-time — less than 10 minutes is state-of-the-art today — and a protection can be delivered automatically to stop the threat everywhere in the organization’s enterprise environment without the need for any human intervention. Why is this so important?

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What Are State-Sponsored Cyber Attacks and Do They Use AI?

Smart Data Collective

As the world’s top institutions and critical infrastructures digitally transform and reap the benefits of better, more efficient workflows thanks to modern cyberspace, cybercrime threats have also gained the ability to transcend into the physical. AI was used to make this attack more effective than ever.

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AI Safety Summit: What to expect as global leaders eye AI regulation

CIO

But there’s a danger, say some observers, that by focusing on the unlikely but existential risks to civilization that frontier AI may pose, longstanding concerns about algorithmic bias, fairness, transparency, and accountability will be pushed to the fringe. What to do about those risks, both existential and everyday, is less clear.

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Sentiment analysis: The Complete Guide

mention

Sentiment analysis, sometimes referred to as opinion or data mining, has become an invaluable tool in interpreting the vast ocean of digital text floating through cyberspace. Why trawl through data manually when algorithms can swiftly do the heavy lifting? How does Sentiment Analysis algorithms Work? What is Sentiment Analysis?

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