November 12, 2018

AI and Enterprise Knowledge Integration: Part 3

The starting point in Part 1 of this series was the fragmented “knowledge landscape” of most big companies.  Information is everywhere but it mostly lives in autonomous silos, in different formats and suffers from “semantic incoherency”. This is a huge problem for extending the use of AI in business, beyond the many “narrow” (i.e. highly specific) tasks that Machine Learning does so well today and into the digital transformation of complex knowledge intensive work. To meet this challenge, I argued in Part 2 that we need to “connect up”…