Analytics Leaders Network – The Future of IoT Analytics

So what is the future of IoT analytics? Join on February 24, 2021 to hear Daniel Reaume and Andrei Khurshudov from Caterpillar Inc. discuss the main trends and challenges in this field and the approaches to deliver IoT value at scale. Learn more and reserve your spot now at

Caterpillar has 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.

This entry was posted in AI, artificial intelligence, machine learning, deep learning, Analytics, data analytics, big data, big data analytics, data on the internet, data analytics meaning, Computers, Past, present, and future and tagged . Bookmark the permalink.

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