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About the Webinar
As devices and systems connected to the Internet of Things generate streaming data on a global scale, firms need effective strategies for identifying and leveraging this data in new applications. That may require the integration and analysis of data from internal legacy sources, current customer-generated data, and external sources from partners and data service providers. The data management and analytics tools of the last decade may be able to handle the volume of data, but they simply can’t keep up with the speed at which it must be processed.
A variety of vendors are racing to meet this challenges with a new generation of data management and analytics tools. From query optimization solutions to integration techniques to new platforms for IoT device interoperability, there is no shortage of innovation in this space today.
In this webinar, participants will learn:
- How the data management vendor market is re-aligning to support streaming analytics,
- Why enterprises need an open-source analytics strategy, and
- How real businesses are competing today with streaming analytics (short case studies from a variety of industries)
About the Speaker
Founder, STORM Insights, Inc.
Adrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Bingamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.