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Keynote Luncheon

                        TUESDAY, AUGUST 29, 2017
                        6:30pm – 9:30pm

                                                  Grand Ballroom, Third Floor

   Andrei               “A Short Introduction to Big Data Analytics, the Internet of Things, and their Synergies”
   Khurshudov, PhD
                        Biography: Dr. Andrei Khurshudov is a Chief Data Officer at Alchemy IoT, a Boulder-area startup
   Chief Data Officer   focused on developing cloud-based solutions for the Internet of Things.

   Alchemy IoT          Andrei joined Alchemy IoT after more than 10 years with Seagate, where he was a Chief
   Lafayette, Colorado  Technologist and managed various organizations focusing on product engineering, big data
                        analytics, cloud technology, quality and reliability, and other subjects. While at Seagate, Andrei
                        created the Big Data Analytics and Insights organization, which focused on applying advanced
                        analytics and machine learning concepts to areas such as quality, reliability, manufacturing, and
                        remote device monitoring, as well as finances, sales and product pricing, and other critical areas
                        where data-driven decisions are important.

                        Andrei has a PhD in Mechanical Engineering and, prior to joining Seagate, worked at such
                        companies as IBM, Hitachi Global Storage, and Samsung.

                        Abstract: It is a rare opportunity for us to live in a time in which important new fields as Big Data
                        Analytics (BDA) and the Internet of Things (IoT) are being born, maturing, and working together
                        to advance technological progress.

                        Big Data Analytics deals with large volumes of diverse data moving at high rates. The goal of
                        BDA is to find hidden patterns in the data, explain those patterns, make predictions about the
                        future, and even prescribe the best possible actions in response. An additional objective is to
                        perform these analyses in real time or near-real time. Toward this end, BDA has to rely on
                        techniques from the fields of machine learning (ML) and artificial intelligence (AI), and on a
                        fault-tolerant computer infrastructure that is built for highly parallel data processing.

                        The Internet of Things refers to a global network of machines, devices, sensors, communication
                        networks and protocols, and decision-making algorithms that are now enabling a new wave of
                        the industrial revolution. It is the foundation for a new world of connected and intelligent
                        devices operating together to improve our quality of life.

                        The Internet of Things is the universe of constellations of connected devices generating
                        potentially unlimited amounts of data, which is a necessary precursor for Big Data Analytics. At
                        the same time, data from these constellations of devices is mostly uninformative without the fast
                        analysis, pattern-learning functionality, and actionable insights that BDA can provide. These
                        two areas appear to be tailor-made for success together.

                        This presentation will discuss both of the above subjects and their synergies.

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