Matrix Workloads Power Real-time Compute

This research investigates “Matrix Workloads,” a workload type characterized by being able to process very large amounts of data in real-time. Examples of Matrix workloads include real-time systems of intelligence, real-time analytics, AI inferencing, robotics, autonomous vehicles, and other data-driven real-time or near real-time use cases. In this research we put forth and attempt to defend three key themes:

1/ Matrix workloads can help deploy more aggressive end-to-end data strategies, which together can greatly simplify and automate operational processes.
2/ The value of well-designed Matrix workloads together with an end-to-end data strategy can deliver an order of magnitude greater value than the traditional applications they enhance.
3/ New hardware and software architectures, techniques and tools are required to develop and deploy matrix-based workloads in the enterprise. These technologies are likely to derive from consumer technologies.

Wikibon projects that Enterprise Matrix Workloads will be 42% of Compute revenue by the end of this decade.

Breaking Analysis: How CIOs and CISOs are Taking the COVID-19 Budget Hit

How CIOs and CISOs are Taking the COVID-19 Budget Hit CIOs and CISOs in some of the hardest hit industries see significant near-term and many permanent shifts to their IT and security strategies. This was the consensus of four technology executives at leading companies that are feeling the brunt of the coronavirus pandemic.  Welcome to […]