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.

Adding more intelligence into business processes and applications

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

As AI permeates our lives, ethical considerations loom large. We grapple with questions of bias, transparency, and accountability.

Human-AI Collaboration- Imagine a symphony where humans and algorithms plan a family holiday together.

AI Ethics- We navigate the moral compass, ensuring AI serves humanity without veering into treacherous waters.

The future of AI isn’t etched in stone; it’s painted on the canvas of imagination. It’s the algorithm that dreams, the neural network that yearns for discovery. So, let us step boldly into the unknown, our binary hearts beating in sync with the pulse of progress. For the future of AI is not merely code—it’s the poetry of possibility, waiting to be written.