IoT Analytics – Today and Tomorrow
Is IoT Analytics in Your Future?
Caterpillar is synonymous with heavy machinery. For more than 90 years, our products have helped our customers build a better world. We’ve also been driving industry-leading connectivity solutions for over 20 years, introducing our first telematics device in 1999. Today, Cat Digital’s team is supporting Caterpillar’s digital strategy through advanced analytics and IoT solutions.
With onboard computers, sensors, and cameras, a fleet of approximately one million connected assets transmit data. This includes time-series data, machine health alerts, fuel usage, and location. This data is used to deploy IoT analytics at scale, providing customers value via increased safety and productivity coupled with reduced cost of ownership. For example, analytics can help tell when a machine or part of a machine needs to be serviced or replaced, how to operate more effectively to increase production, how to reduce operational costs, how to increase service life, and more.
So, what is the future of this fast-growing field of IoT analytics? To answer this question, we will review the main trends and challenges in this field and the approaches to deliver IoT value at scale. In particular, we will address how IoT success goes beyond analytics, but also involves teaming with software engineering and commercial organizations to effectively deliver value to a global base of customers.
Date & Time
- October 9, 2018
- 8:00 AM – 10:30 AM
Chief Analytics Director at CAT Digital
Dan Reaume has over 20 years of experience leading the development and delivery of analytic solutions and strategies for several of the world’s largest and most iconic manufacturing companies including: General Motors, Dow Corning, Dow Chemical, Caterpillar. Dan currently leads Analytics for Cat Digital in Chicago where he oversees teams of data scientists and operations researchers in Chicago, Peoria, and Champaign. He heads up divisions focused on Product Analytics, IoT Analytics, and Business & Operations Analytics as well as an Analytics Center of Excellence engaging the enterprise and driving best practices. Prior to Caterpillar, Dan was the former VP of Analytics at Revenue Analytics, the leading consultancy for high-end pricing analytics. He also has almost 20 years of experience as an adjunct professor at the University of Michigan’s College of Engineering.
Director of IoT Analytics
Dr. Andrei Khurshudov specializes in Big Data Analytics, the Industrial Internet of Things, cloud storage and computing, in-memory computing, and data storage technology. Andrei is a Director of IoT Analytics at CAT Digital, the digital technology arm of Caterpillar. Andrei’s organization focuses on data analysis and predictive modeling for a million connected machines and devices. Andrei has spent over ten years at Seagate Technology, serving as a Chief Technologist and managed various R&D organizations in such areas as big data analytics, cloud storage, cloud computing, quality and reliability, and others. In the recent past, Andrei served as a Chief Data Officer at Formulus Black, a New Jersey startup developing software for in-memory computing, and a CTO and Chief Data Officer at Alchemy IoT, a Boulder-area startup creating cloud-based analytics solutions for the Internet of Things. Andrei has a Ph.D. in Engineering and worked at such companies as IBM, Hitachi Global Storage, and Samsung. Andrei also has numerous publications, patents, conference presentations, and a book.