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Emerson Receives 2021 IoT Breakthrough Award for ‘Analytics Platform of the Year’

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Emerson (NYSE:EMR), a global automation technology and software company, has received the “IoT Analytics Platform of the Year” award for its Plantweb Optics™ Analytics software. The honor, part of the 5th annual IoT Breakthrough Awards, recognizes Emerson’s analytics software that uses artificial intelligence and machine learning to improve reliability, safety and sustainability while optimizing production for industrial manufacturers.

Emerson wins 2021 IoT Breakthrough Award for IoT Analytics Platform of the Year (Photo: Business Wire)

Emerson wins 2021 IoT Breakthrough Award for IoT Analytics Platform of the Year (Photo: Business Wire)

“Industrial manufacturers generate vast amounts of data, but few companies are really gaining the insights needed to optimize their operations,” said Stuart Harris, group president for Emerson’s digital transformation business. “With Plantweb Optics Analytics, we are providing manufacturers with advanced analytics capabilities that are easy to deploy and quickly deliver results. This IoT Breakthrough Award recognizes our industry-leading technology, expertise and focus on value creation for our customers.”

New technologies present a wealth of opportunities for manufacturers today. In fact, analytics has the potential to deliver more than $4 trillion of growth in industrial manufacturing, according to McKinsey. Emerson’s Plantweb Optics Analytics is a powerful industrial IoT analytics software that collects and interprets operational data to provide real-time visibility into equipment health and operational performance. With embedded domain knowledge, Plantweb Optics Analytics can improve performance at all levels across an enterprise, from simple equipment to complex assets, process units and entire production plants. Plantweb Optics is part of Emerson’s award-winning Plantweb™ digital ecosystem of transformational technologies, software and services.

Emerson’s Plantweb Optics Analytics software draws from a combination of data-driven models and principles-driven analytics to identify, predict and prevent more than 8

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Specialty Industrial Machinery
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