Dr. Marty Trevino is the Chief Scientist for the Insight Cyber Group, former NSA Senior Technical Director, and a frequent speaker at NDU. Artificial intelligence (AI) has become a central component within industrial-grade embedded devices being deployed throughout industrial technology (IT), operations technology (OT) and building automation (BA). What is evolving is a seamless blending of our cyber and physical worlds. Our blended technological and physical world has produced a new category of complex, intelligent, nested systems that are pervasive. We call these dynamic and often intelligent systems cyber-physical systems (CPS). Originating in 2006 at the National Science Foundation, CPS is not AI but utilizes machine learning (ML) for specific functions, including reconfiguring without human assistance.

Sign in to report inappropriate content. Oracle ACE Director Heli Helskyaho recaps her four Kscope 2019 sessions, shares insight on what scares developers away from machine learning, and discusses the role of the data vault.

Last Sunday I was at big retail store in Harare and it was a very busy day because it was month end and people got paid. Grocery shopping was in full swing, I also bought some groceries for my self. When I was in the queue for payment and collection, I saw almost every one making payment either by swiping the magic plastic card or struggling on their mobile handset by punching few numbers etc. The electronic payment queue was moving fast compared to the cash payment queue where I saw only a handful of people with just one/two small item/items. The thought came to my mind out of this whole picture was "Whats happening here besides the payments through mobile and plastic"?

Apache Spark is a leading platform for large-scale data mining, batch processing and stream processing. Touted as a "lightning-fast unified analytics engine," Spark modernizes data analytics with machine learning to help businesses uncover patterns at new levels. Best of all, Spark is included within many other software solutions, so this powerful tool may already be part of your modern data analytics infrastructure. From its inception at the AMPLab at U.C. Berkeley in 2009, Spark has become one of the key big data distributed processing frameworks in the world. It's used by banks, telecommunications companies, games companies, governments, and nearly all major tech giants, including Apple, Facebook, and Microsoft.

– Last Sunday I was at big retail store in Harare and it was a very busy day due to the fact it was month end and people got paid. Grocery shopping was in full swing, I also bought some groceries for my self. When I was in the queue for payment and collection, I saw almost every one making payment either by swiping the magic plastic card or struggling on their mobile handset by punching few numbers etc. The electronic payment queue was moving fast compared to the cash payment queue where I saw only a handful of people with just one/two small item/items. The thought came to my mind out of this whole picture was "Whats happening here besides the payments through mobile and plastic"?