

A.I. IS AN UMBRELLA TERM FOR MANY DIFFERENT EMERGING TECHNOLOGIES.
Indeed, the term “artificial intelligence” is notorious for having a relatively amorphous definition. Some of these technologies will merely enhance existing products and processes. Others will create entirely new products and services to sell to consumers and businesses. The global market of A.I. related products and services will be a multi-billion dollar market soon.

Moving Organizations Away From Tribal Knowledge To Shared Knowledge.
Machine Learning, when combined with data from remote diagnostics help augment employee talent and reduce the amount of time needed for training. When a company owns the data and the intelligence behind the data, it no longer has to rely on the tribal knowledge.
Looking At How Companies Are Leveraging Cognitive Applications Built On Data-Science Models To Create New Monetizable Value.
Machine Learning changes maintenance and service approaches from a Reactive Path (Remote monitoring activities relying on a device to tell you that an error has occurred) – into a Predictive Path which enables organizations to begin thinking about what’s happening in real-time and over a distribution of time curve. Through constant improvement, the efficiency of a field asset, and know when it requires attention.
Visualization Of Companies Investing In AI (SpiderBook)
