Balancing the IoT Data Deluge with Cybersecurity Needs

Duration 7:14

In this short interview, Eric Vanderburg, Vice President, Cybersecurity, at TCDI, shares best practices for organizations and individuals to leverage IoT generated data while staying ahead of security threats.

A Straight Line in the Sand: AI versus ML

Duration 8:29

In this short interview, Tamara McCleary, CEO at Thulium, explains the difference between Artificial Intelligence (AI) and Machine Learning (ML).

Episode 9: The Power of Compute… At the Edge

Duration 30:36

With the increasing volume of data being collected, cloud computing does not yield the best results for certain types of analytics and real time decision making. Ravi Pendekanti, SVP of Server Product Management and Marketing at Dell EMC, and Scott Aylor, Corporate Vice President and General Manager for Enterprise Solutions at AMD. discuss how a new distributed and secure compute model must replace certain processes that are currently still in the cloud.

Dell Technologies 2018 Predictions – Entering the Next Era of Human Machine Partnerships

December 11, 2017

Between now and 2030, humans and machines will work in closer concert with each other, transforming our lives. Take a look at what’s coming down the pike next.

Episode 8: Untethered Mixed Reality… On the Edge

Duration 39:25

The future of work is flexible, untethered and peppered with virtual and mixed reality. Much of the compute is happening on the Edge, meaning on the device you work on. Sam Burd, President of Dell’s Client Solutions Group, discusses the future of work.

Four Ways Machine Learning Will Improve Big Data

November 24, 2017

By Dan Newman, Futurum
We already know that 90 percent of the world’s data has been created in the last few years alone. To deal with the massive quantities of IoT data, companies will need to turn to machine learning. It will simply be too much for humans to handle alone.