Artificial intelligence (AI) was a big deal back when I was in engineering school (which wasn’t just yesterday). Through the years, AI’s evolution has produced multiple hype cycles, followed by disillusionment.
Today, in the time of Digital Disruption 2.0, AI’s ascent looks a bit different. It’s building on its foundation of machine learning and cognitive computing capabilities, and now capturing data elements that are human (behavioral/psychological) and contextual in nature. It then assembles these findings into new patterns that lead to previously unforeseeable insights.
Read the full blog post at Digitally Cognizant.
