machine intelligence

Do We Really Need Empathetic Bots? Yes, We Do

Move over chatbots - it is time for the empathetic bot. Say what?! In this new Experts Corner, Ashwin Krishnam explores the intersection of autonomous vehicles, bots, and machine learning. Where will technology take us in the future? Will be able to tell the difference between machine and human?

So, How Does Machine Learning Apply To Cyber Security?

There has been a great deal of attention paid to the advantages of machine learning in security tools lately. And while it shows a great deal of promise, the reality is alone, machine learning is not enough to consistently and accurately detect, prevent or predict threats and is prone to false-positives. When considering how to reduce the overall threat exposure window, organizations need to understand how, only when combined with additional technologies, machine learning can be effective.

What Does the Future Hold for IoT Device Manufacturers?

IoT security is certainly a challenging landscape. It was difficult enough to secure a select few smartphone operating systems like IOS and Android, but IoT is a whole new world with an unlimited number of non-standard device operating systems. Michael Lynch explores this world and the future it holds for the IoT device manufacturers.

My Impact on Society as a Female Data Scientist

Xuan Zhao, a female data scientist in the information security industry, explains how machine learning dramatically helps her work have a true impact on society, and vice versa.

The Actual Benefits of Artificial Intelligence & Machine Learning

If you believe the vendor hype, Artificial Intelligence is the greatest thing to ever happen to cybersecurity. Guess what? The vendors may be correct, but it’s not easy to determine what is useful technology and what is fluffy marketing.

It’s a Marketing Mess! Artificial Intelligence vs Machine Learning

From Big Data to Behavioral Analytics to Machine Learning, Artificial Intelligence presents a confusing landscape, in large part because the terms are vague and defined inconsistently (and vendors like it this way).