Saturday, April 11, 2015

Artificial Intelligence in Business

I will go anywhere as long as it is forward. – David Livingston

The mining of digitized information has become more effective and powerful as more info is "tagged" and as analytics engines have gotten smarter and capable of learning, we can now analyze "unstructured" data, such as text and video, to pick up information on cusumer sentiment. For example, companies can now use analytics to decide which sales representatives should get which leads, what time of day to contact a customer, and whether they should e-mail them, text them, or call them.

Global Financial Services Leader at The Watson Group have 45 innovative companies /clients working mostly on three applications:

(1) digital virtual agent; that enables banks and insurance companies to engage their customers in a new, personalized way,

(2) wealth advisor; that enables financial planning and wealth management, either for self-service or in combination with a financial advisor

(3) risk and compliance management.

The Enhanced Virtual Assistant, or Eva, enables you do 200 transactions by just talking, including transferring money and paying bills.

What does it all mean for the future of Artificial Intelligence?

Adding more intelligence into business processes and applications