Big Data

Addressing The Big Data Veracity Challenge

Addressing The Big Data Veracity Challenge

Everyone is expecting to get a lot out of Big Data but are we too trusting of the analytics we’re getting out of it? As the variety and number of data sources being harvested increases, there are a lot of steps and many opportunities for errors to creep into the process of creating actionable insights. And when multiple people interpret one set of data very differently, whose interpretation do you run with? What can an organization do to ensure that the insights distilled from the data, can be trusted?

Contributors

    • Philip Wisoff, Chief Information Officer, Proskauer Rose
    • Ram Akella, Professor of IS & Technology Management; Director, Center for Knowledge, Is, &Management of Technology, University of California Santa Cruz

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Contributors

Philip Wisoff

Philip Wisoff, Chief Information Officer, Proskauer Rose

Phil Wisoff, Chief Information Officer of Proskauer, has more than 25 years of senior management experience in information technology in industries that include law firm, accounting, insurance, telecommunications and pharmaceuticals. Phil f... More   View all posts
Ram Akella

Ram Akella, rofessor of IS & Technology Management; Director, Center for Knowledge, Is, &Management of Technology, University of California Santa Cruz

Professor Ram Akella is currently Professor and Director of the Center for Large-scale Live Analytics and Smart Services (CLASS), which includes SMART (Social Media Analytics Research Transformation), and the Center for Knowledge, Informati... More   View all posts
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Philip Wisoff

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