Overcoming the Data Strategy Hurdle to AI Adoption

January 21, 2019

According to Forbes Insights research, only 12% of executives say they have an enterprise-wide data strategy. In this video, Dell EMC President & CTO, John Roese, talks to Tamara McCleary, CEO at Thulium, about how organizations can overcome the data strategy hurdle to AI adoption.

Uncertain Intelligence: Can Programming Uncertainty into Machines Make Them Smarter—and More Ethical?

January 14, 2019

By Marty Graham, Contributor Forty years ago, Star Trek creators foresaw the unintended consequences of artificial intelligence. It began innocently …

Photo by Chris Liverani on Unsplash

Demystifying the Role of Today’s Data Scientist

January 7, 2019

Data scientists are being called upon to more effectively communicate their findings to customers, their teams, and the C-suite.

Architecting the Right IT Infrastructure for Edge Computing

Duration 4:48

Tamara McCleary, CEO at Thulium,  and Jason Shepherd, CTO of IoT and Edge Computing discuss how human-machine partnerships have an impact on requirements of the IT infrastructure.

Episode 25: Preserving History…About Earth and Beyond

Duration 26:20

Putting the first man on the moon in 1969 cemented America’s dominance in the space race. And as we have continued exploration into the vast unknown, the purpose of each mission is about collecting data, terabytes of priceless and irreplaceable data. How does our body react to weightlessness? Can plants grow in space? Was there ever life on Mars? On this episode, NASA’s Tom Stein explains how and why he and his team collect, preserve, and distribute terabytes of irreplaceable data generated by the space program.

How ZingBox uses Artificial Intelligence and Machine Learning to secure IoT devices

Duration 6:24

In this interview, Tamara McCleary talks to Dr. May Wang, Co-Founder & CTO of ZingBox, about how AI & machine learning can be used to secure the IoT, how their technology is transforming the healthcare industry and what it will enable in the near future.