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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.

Learning 545
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5 Ways Machine Learning is Changing the Way Businesses Operate

Smart Data Collective

Although machine learning is still in its infancy, it is developing at a breathtaking pace to improve the reach of artificial intelligence. Since this type of advanced technology is at the cutting edge of industrial innovation, many large companies invest heavily in artificial intelligence and machine learning research.

Learning 361
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When voice deepfakes come calling

CIO

Changing account or profile details By cloning customers voices,scammers are able to dupe call center agents into changing the emails, home addresses, and phone numbers associated with the accounts, which then enables them to do everything from accessing customers one-time passwords to ordering new checks or cards.

Security 370
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What CIOs can learn from the massive Optus outage

CIO

The week’s high-profile resignation of Optus CEO Kelly Bayer Rosmarin in the wake of the Australian telco’s massive outage that left 10 million Australians and 400,000 businesses without phone or internet for up to 12 hours earlier this month underscores the stakes involved when it comes to setting an IT strategy for business resilience.

Learning 418
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How ZoomInfo Enhances Your ABM Strategy

And to begin the targeting process, marketing teams must develop an Ideal Customer Profile (ICP) with appropriate firmographic and behavioral data to ensure they’re going after the correct audience. According to Forrester Research, only 8% of marketing professionals have confidence that their data is 90-100% accurate.

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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

This article explores the possibilities and limits of AI in research and development. Use of AI in Research. Research and development (R&D) is a critical component for any business, especially in today’s data-dependent competitive world. One typical example of bias in data is the issue of racial profiling.

Research 321
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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. However, machine learning can also help financial professionals as well. This lowers market fluctuations and give a more steady return profile.

Learning 294