Badri Raghavan

Badri Raghavan

San Diego, California, United States
4K followers 500+ connections

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    Business Consulting

About

With over 25 years of experience in applying Machine Learning and AI to solve complex and…

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Experience & Education

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Volunteer Experience

Publications

  • Next Shift: From Big Data to Deep Data

    Information Management

    With the growing presence of big data, businesses are becoming more equipped to handle the tsunami of data about their customers. However, because of a lack of precise knowledge of the value embedded within this huge crush of data, many businesses have been stuck in the “data for data’s sake” trap – capturing every piece of available information, a phenomenon I call the “data hoarding” mentality. With this approach, it’s easy to become overwhelmed by the amount of data available and get stuck…

    With the growing presence of big data, businesses are becoming more equipped to handle the tsunami of data about their customers. However, because of a lack of precise knowledge of the value embedded within this huge crush of data, many businesses have been stuck in the “data for data’s sake” trap – capturing every piece of available information, a phenomenon I call the “data hoarding” mentality. With this approach, it’s easy to become overwhelmed by the amount of data available and get stuck focusing on the challenges to collect and store terabytes of information, rather than effectively leverage the information to deliver on the promise of personalized relationships and to add meaningful business value.

    Here Comes Deep Data

    As big data moves beyond hype to realized value, things are beginning to change. As we enter 2015, companies will move toward the "Deep Data" framework– an approach based on the premise that a small number of information-rich data streams, leveraged properly, can yield more value than masses of captured data. By shifting to a deep (rather than big) data approach, businesses are able to better understand their customers and offer actionable, scalable and customized insights while crucially enhancing the value of the economic investment in data to their businesses.

    See publication

Honors & Awards

  • Nominee, 2014 CTO of the Year

    Massachussetts Technology Leadership Council

    This Award recognizes the CTO who has served as an outstanding leader and team builder, developed innovative technologies that have resulted in measured success for their company, and has provided continued support to clients and partners ensuring their technology needs are met.

Languages

  • Hindi

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  • Tamil

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Organizations

  • American Association For an Energy Efficient Economy (ACEEE)

    -

  • Association for Computing Machinery (ACM)

    Special Interest Group on Knowledge Discovery in Data Mining (SIGKDD)

  • Chief Data Officercs (CDO) Forum

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  • Data Science Organizations

    Various

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