Knowledge graphs are a defining technology that will transform data management in the next decades and we want to be leaders of the transformation. Knowledge graphs:
provide an elegant solution to the complex problem of data management in the enterprise
are a mature technology and adoption is growing fast
have a very strong potential backed by decades of research
As an educational institution, we also realize there is a need to educate and enable a community to facilitate technology adoption. The goals of this conference are thus:
to showcase major knowledge graphs implementations
to educate on how knowledge graphs are built, maintained and used
to build a community around technology leaders
We have gathered world experts representing leading organizations working with knowledge graphs. See below the list of speakers and presentations. We are building this conference as a yearly forum gathering the community around this topic. This year's theme: knowledge graphs for AI in the enterprise, will be strongly represented in the program.
The conference is organized by Francois Scharffe, the Applied Analytics Club of Columbia University and the Executive Education program of Columbia University School of Professional Studies.
We have speakers from Financial Services, Healthcare, Digital Commerce, Government, Education, Supply Chain from Amazon, Uber, Airbnb, Microsoft, Google, IBM, United Nations, Montefiore Health System, Pitney Bowes, Goldman Sachs, Federal Reserve Bank of New York, Mastercard, Wells Fargo, Refinitiv, AstraZeneca, Capital One, Accenture, Collibra, TigerGraph, Enigma Technologies, Inc., Diffbot and more...
