What is Sentinel Technologies doing with data to drive business outcomes for customers?

In the collaboration space, conversational-type chatbots are an example. We’re providing the ability to help organizations put in place conversational chatbots whether for their customer service experience or maybe it's revenue-generating—that’s an important component. They have to be pretty intelligent and very easy to use or you can lose your customers. They can be internally facing like HR chatbots, for example. It would provide a tremendous amount of savings [when deployed].

More and more I’m seeing the ability for correlation, machine learning and AI to protect from things like anti-virus, anti-malware and make decisions for our SOC [Security Operations Center] service, for example. One day soon, our top analyst will probably be a bot. It will probably allow us to not only make better and faster decisions on what we’re seeing in an environment, but also investigate more because from a security perspective, you’re really looking for a needle in a haystack. Doing that manually, you’re never going to win or get ahead and you can’t be cost-effective and efficient. So we have to combine machine learning and AI with skills and experience to be a really effective security provider.