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Read on to get the thoughts of big data and data engineering industry veterans Ramesh Menon and Todd Goldman , as they present you their five top thoughts on big data technologies in People have been talking about digital transformation for years without ever really knowing what it meant. Very often digital transformation was used to describe finding ways to sell the data that was being generated to create new revenue streams. These were generic ideas not specific to any particular business, which is why they went nowhere for most organizations. What they are now coming to realize is that digital transformation is really about taking a data-driven approach to every aspect of their business in an effort to create a competitive advantage. If you are an oil exploration and production company, it is about using data to perform wellhead drilling adjustments hourly instead of daily to maximize the yield from an oil field. These are discussions that cut to the core to even very traditional businesses, which are now beginning to correctly identify digital transformation as a means of investing in an agile data platform that reflects the state of the business and can pivot to support new business models as quickly as they emerge.
Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Los Angeles this year. The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry.
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