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Bayesia and Data Center and Analytics Lab, IIMB sign MoU to promote discovery and reasoning with Bayesian networks


Bayesia and Data Center and Analytics Lab, IIMB sign MoU to promote discovery and reasoning with Bayesian networks


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Bayesia Singapore Ptd. Ltd. and the Data Centre Analytics Lab at the Indian Institute of Management Bangalore, DCAL@IIMB, have formed a partnership with the objective of furthering the state-of-the-art in business analytics. As part of this mission, Bayesia and DCAL@IIMB will jointly host a series of symposia, teach courses, and engage in research projects and consulting assignments with a special focus on knowledge discovery and reasoning with Bayesian networks.Bayesia Singapore Ptd. Ltd. and the Data Centre Analytics Lab at the Indian Institute of Management Bangalore, DCAL@IIMB, have formed a partnership with the objective of furthering the state-of-the-art in business analytics. As part of this mission, Bayesia and DCAL@IIMB will jointly host a series of symposia, teach courses, and engage in research projects and consulting assignments with a special focus on knowledge discovery and reasoning with Bayesian networks.



An already sold-out Analytics Symposium on June 8, 2013, to be hosted at IIMB, will formally launch this promising partnership. “Introducing the Bayesian network paradigm into our research enforces DCAL’s leading position in the field of business analytics” states Prof. Dinesh Kumar who is the Chairperson of the Data Center and Analytics Lab and the Research and Publications unit in IIM Bangalore. A person who has been the driving force in developing the partnership with Bayesia, Kaushank Khandwala, founding member and manager of DCAL@IIMB adds “The huge amount of interest in our inaugural event confirms the relevance of this initiative for MBA students and the business analytics community.”

Bayesian networks have evolved as a new form of probabilistic knowledge representation through the seminal works of Judea Pearl. The theoretical properties of Bayesian networks have been extensively studied over the last 25 years, but only now they are emerging as practical tools to generate “deep understanding” of very complex, high-dimensional problem domains. Their computational efficiency and inherently visual structure make Bayesian networks attractive for exploring previously intractable business problems.

Since 2001, France-based Bayesia S.A.S. has been developing their flagship product BayesiaLab to leverage Bayesian networks for applied research. “We are delighted to collaborate with of one of India’s most prestigious Business Schools,” says Stefan Conrady, Director of Bayesia Singapore. “It is a great privilege for us to work with such an elite group of academics. We see their engagement with us as recognition of the central role that Bayesian networks will play in the future of business analytics.”

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Over the course of the summer and fall, Bayesia and DCAL@IIMB will offer numerous courses, both for academics and practitioners. This program includes an immersive 3-day course on Bayesian networks and BayesiaLab, scheduled for September 11-13, which is now open for registration.



Register for our upcoming events:


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