Affine becomes a new Fellow at the ‘Fisher Center For Business Analytics at Berkeley Haas’

Affine Inc. announced that it has become a fellow with the ‘Fisher Center for Business Analytics’ (FCBA) at the Berkeley Haas School of Business, University of California. The fellowship envisages research and wide-ranging dialogue with corporate participants and practitioners in areas related to enterprise strategies for Applied Artificial Intelligence and Data Science.

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Affine and FCBA will collaborate along multiple dimensions, from applications to methodologies, from governance frameworks to enterprise strategies – all with the objective of further defining the role of data sciences and allied technology in future-ready enterprises.

The flagship event of the program will be an annual summit, discussing one or more key topics of industry interest in analytics,” said Manas Agrawal, CEO at Affine. “The potential theme for the summit could be along industry focus (Gaming, CPG, Manufacturing) or functional focus (Marketing in the digital economy) or technology focus (AI/ML at scale on cloud). We look forward to developing this into an ongoing knowledge event in the Affine-Academia collaboration.”

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The Fellowship aims to bring together the research power of FCBA and the industry experience of Affine to create new knowledge in different areas of advancements in analytics. The breakneck pace of innovation in analytics led by AI and cloud computing is also creating a large gap in the frameworks needed to harness this power at Enterprise Scale. The collaboration will also explore new theories in areas like ownership of analytics in enterprise, engineering strategy, and the right partnership ecosystem for enterprises.

Mr. Vasseur, executive director at FCBA, added, “Connecting research, faculty, and students with enterprise business cases is the best way to transform world-class teaching experience and research into critical analytics skills.”

The convergence of researchers, practitioners, students, and consumers of this fascinating faculty of data sciences and engineering will break new ground.

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