With the graphics technology expanding how we view reality using technologies like augmented and virtual reality, the lines are increasingly blurred between what is real and what we can imagine.
A fierce contest between Intel and NVIDIA for control over artificial intelligence (AI) workloads is now under way in earnest.
Dell EMC is betting that many more artificial intelligence (AI) applications wind up being built and deployed in an on-premises environment than most IT professionals would expect.
Many of the applications based on machine learning and the artificial intelligence platforms into which they fit can be as dull as more efficiently running the accounts payable department. Dull is in the eye of the beholder, however.
Machine learning is the glitziest element of artificial intelligence, and perhaps the most frightening to humans.
A symbiotic relationship exists between the need for best practices for data management and a desire to build AI applications. An AI application is only as good as accurate as the data used train it.
Most organizations need to be factoring blockchain and AI technologies into their business strategies now before they find themselves digitally disrupted out of existence.
Microsoft and EY have created a rights and royalties management application based on Quorum blockchain technologies.
The Atos Codex AI Suite is an application toolset that Atos has built around machine and deep learning algorithms that makes it simpler to build AI applications.
The questions are now when and to what degree machine learning and other forms of AI will be applied to sales management. Most of the initial exposure to AI will come in next-generation packaged sales management apps.
FinancialForce PSA Analytics will use the Einstein AI Engine to provide real-time visibility into key performance indicators involving issues such as billings, backlog, utilization rates and other milestones.