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Trending AI in Manufacturing Content

Three Transformative AI Use-Cases in Manufacturing@2x

Three Transformative AI Use-Cases in Manufacturing – with Everton Paulino of SambaNova

This article has been sponsored by SambaNova Systems and was written, edited, and published in alignment with Emerj’s sponsored content guidelines.

Understanding Predictive Maintenance in Manufacturing

Understanding Predictive Maintenance in Manufacturing

The hypothesis is simple:

Equipment breakdowns or downtime is extremely expensive (imagine a train broken down on isolated tracks, hundreds of miles from the nearest depot)
Heavy equipment (engines, wind turbines, manufacturing machines) produce various streams of data (heat, vibration, time-series, etc)
Machine learning could be used to detect "failure patterns" in that data, helping businesses to maintain equipment health more effectively

The State of IoT in Insurance – Automotive, Home, and Health

The State of IoT in Insurance – Automotive, Home, and Health

Insurers are looking to leverage all of the digital customer data that is now available to them, including one new data source that some of the largest insurance enterprises claim are actively collecting: real-time data streams from the Internet of Things (IoT).

Training Self-Driving Cars in Simulations - The Future of Automotive

Training Self-Driving Cars in Simulations – The Future of Automotive

Danny Lange heads up the AI efforts at Unity, one of the better-known firms in terms of simulations and computer graphics. They work in several different industries, but this week we speak mostly about automotive.

AI in the Automotive Industry - an Analysis of the Space

AI in the Automotive Industry – an Analysis of the Space

In this article, we explore the applications of AI software within the automotive industry from production and manufacturing to insurance and transportation. We will discuss the equipment involved in collecting and analyzing data along with the potential value they offer to manufacturers, shared mobility companies, insurers, and drivers.

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