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. A new distributed and secure compute model must replace certain processes that are currently still in the cloud.
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.
Human-machine partnerships and emerging technologies are reshaping digital transformation on the path to 2030.
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.
In this short interview, Tamara McCleary, CEO at Thulium, explains the difference between Artificial Intelligence (AI) and Machine Learning (ML).
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. How will you work in the future?
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.