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.
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.
These Watson Assistants will increasingly know more about us than we know about ourselves and have the knowledge of the world behind them. Businesses should take note.
The two most significant additions to Hadoop include the ability to run apps that incorporate machine and deep learning algorithms on GPUs and field-programmable gate arrays (FPGAs).
We are only at the beginning of the evolution of artificial intelligence.