Democratized AI…Building Intelligent Business Models

The summer of 1956 in Dartmouth marked the advent of general Artificial Intelligence (AI). The world has come a long way since then, thanks to certain forces that pushed out AI work from the precincts of research labs into the hands of technology practitioners. These practitioners took the path of solving specific problems that augmented human capacity, relying on patterns hidden in historical data. What we are now witnessing in the form of self-driving cars, use cases in medical diagnostics, image recognition, or robots playing Google’s AlphaGo and chess are all examples of narrow AI that hold the promise of transforming our lives in an exponential manner. Enterprises today are grappling with and trying to comprehend the full impact of AI and how machinecentric intelligence will impact their business operating models, competitiveness, and their ability to serve the needs of their end customers across all touchpoints.

Related Insights

How AI, ML, Data and Automation enhance the Content Supply Chain – Vlog Part 3

In Part 2 of the Vlog series, Focazio discussed the basics of a video content supply chain -- including...
Blog post

How Virtual Contact Centers Can Benefit You

Virtual contact centers are enabling IT Help Desks, HR departments, and Customer Support teams around...

What Can Artificial Intelligence and Machine Learning Do for You?

Artificial Intelligence (AI) and Machine Learning (ML) have come a long way in the past 10 years and...

Contact us to learn more

Ness likes to work collaboratively with its customers, so please ask us questions if you would like to learn more about our services. We look forward to answering them.
Browser warning
We noticed that you are using Internet Explorer. Not all of our website’s functions will work on Internet Explorer. For a better experience, we recommend that you visit us on a different browser. Click here for a list of the latest versions.