Remove 2019 Remove Cybersecurity Remove Predictive Analytics
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4 Brilliant Ways To Use Big Data To Boost Gmail Security

Smart Data Collective

Big data has led to impressive advances in cybersecurity and malware protection. Gmail security needs to be one of your biggest concerns in 2019. The good news is that new machine learning and predictive analytics technology is making it much more secure. Be grateful that big data is improving email security in 2019!

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Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals.

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Experts Warn AI And Social Engineering Lead To New Digital Scams

Smart Data Collective

A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. Cyberattacks are becoming more prevalent these days. Social engineering is used in many online scams.

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AI And Data: A Pain Or Gain? Here’s What The Future Looks Like

Smart Data Collective

© Statista 2019 Also, here is a list of some other stats. The more data it consumes the better for the hackers to create cybersecurity devastation. AI indeed helps to come up with stronger cybersecurity solutions. What Type of Cybersecurity Threats Can AI Bring? How Can AI Be Our Latest Cybersecurity Sheriff?

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Using AWS to Effectively Implement AIOps

GAVS Technology

Predictive scaling is a type of AI DevOps platform management service that predicts the spike in the workload of EC2 instances. Based on weekly/daily traffic on EC2 instances, predictive scaling can determine future traffic spikes. Thanks to AIOps, cybersecurity and compliance services can be conducted more effectively.