Page 8 - ASME ISPS 2017 Program
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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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