Intense AI in the Energy Sector

The promise of the industrial Internet of Things (IIoT) to provide data insights from products and facilities on the edge of the network is already being realized by the energy sector. The path it’s taking to capitalize on digital disruption via high performance computing is serving as a roadmap to other sectors.

Stalwarts in the oil and gas industry and relative newcomers from solar and wind power have been collecting data from sensor-laden field assets for years. Driven by the sheer number of those assets—such as utility meters—or the difficulty in accessing them—think offshore oil rigs or the tops of wind turbines—the energy industry was quick to realize the potential benefits of connected, data collecting devices. As a result, it has had a head start on putting that data to use.

In this issue, you’ll find many examples of how the energy sector is using HPC to optimize its connected workloads and maximize the insights it is mining from data to improve efficiencies, create competitive advantages and control costs.

The Transformation of Transportation

The automotive industry, especially, is increasingly turning to HPC as a means to usher in the biggest transformation it has faced since the assembly line: self-driving cars. The amount of testing required to prove out all of the subsystems in a self-driving vehicle is not possible for a company to undertake without HPC-driven simulation. As we report on page 20, all of the data being collected by self-driving cars and automated safety systems is being collected to feed simulations that will improve automobiles and make the roads safer for us all.

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