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Renowned Automotive Company Accelerates Innovation with a Modern In-car Experience

Pure Storage

The in-car experience has come a long way since the early days of automotive transportation. To accelerate innovation, automotive companies have had to adopt software-driven business models to meet current and future market expectations. . One of the world’s leading vehicle manufacturers has made this transition successfully.

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Going “Beyond the Tailpipe” for Automaker Sustainability Using AI

Pure Storage

But sustainability efforts need to look “beyond the tailpipe,” as McKinsey says, to include the entire car manufacturing process. . Digital manufacturing transformation that leverages AI is impacting multiple industries. It has many potential applications in the automotive industry. . Greater Production Efficiency.

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Bridging the Great OT/IT Divide for the Auto Industry

Pure Storage

It’s crunch time for automotive industry original equipment manufacturers (OEMs). OT refers to firmware or applications that run inside industrial machinery or equipment. Similarly, a data analysis sweep could pick up on a robot that is operating well below its capacity. Two Worlds Collide: IT vs. OT.

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AIRI//S: The Next-gen AI-ready Platform from Pure Storage and NVIDIA

Pure Storage

There are so many practical applications for this technology that it’s no surprise AI is now supporting mainstream use cases in industries from healthcare and life sciences, to semiconductor and chip manufacturing, to automotive, financial services, and beyond. Challenges of AI Implementation.

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Machine Learning vs. AI

Pure Storage

Applications of AI include natural language processing, robotics, and computer vision. . As ML applications receive new data, they learn, adapt, and improve their accuracy to make more accurate predictions and provide greater insights. . Here’s how they differ in more detail. What Is Artificial Intelligence ( Really )?