From Bayesian Networks to Cognitive Science

From Bayesian Networks to Cognitive Science

Presented at the 7th Annual BayesiaLab Conference at the North Carolina Biotechnology Center.


At the heart of the companies' information systems, close to decision-makers and operational staff, my professional experiences led me to observe that Business Intelligence (BI) did not provide a satisfactory answer to their real problems. What had changed in 20 years? Rainbow colors on the screens, OLAP cubes democratization, calculation speed… exciting — and also a nightmare — for those in the IT department. But what is the real added value for the decision-makers and the workers? Curious about the potential of AI, I had just been trained in Python, but as a statistician, I saw nothing intellectually satisfying in my discovery of machine learning. Then, a guy talked to me about "Bayesian networks."

That will be the starting point for this talk. An escapade into "augmented intelligence": Bayesian networks and BayesiaLab, encounters, change of relationship to the data, to beliefs, to the world, and to myself… But, who am I, really?

Presentation Video

About the Presenter

Emmanuel Keita has a multi-disciplinary background in mathematics and information system management:

  • "Augmented Intelligence Evangelist" — he popularizes decision-making discernment to different audiences: from high school to Google Zurich events, he focuses on human discernment in decision-making: not all is data!
  • National defense auditor (France), Emmanuel was contributor of the "Villany report" — AI’s French strategy — (03/2018) and autor of an article "Le potentiel des réseaux bayésiens" in Défense & Stratégie Internationale (04/2019).
  • Data manager and statistician consultant in the pharmaceutical industry (GSK), in charge of statistics at Fujifilm, France.
  • Head of the Business Intelligence division of Groupe Soufflet (agri-food industry).
  • Emmanuel recently stopped Sundiata’s adventure for new challenges.

Emmanuelle Keita

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