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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. . This strategy is the cornerstone of its application development stack.

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Going “Beyond the Tailpipe” for Automaker Sustainability Using AI

Pure Storage

It has many potential applications in the automotive industry. . The Right Platform for Automotive AI . To help automakers realize the many promises of automotive AI, Pure and NVIDIA have created AIRI//S ™, a complete AI technology stack. This is where artificial intelligence (AI) can play a key role.

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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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Ten Years On, Has Excitement Dimmed about the Cloud’s Transformation Power?

Pure Storage

Ten years on, unexpectedly large cloud bills and the massive looming data needs of AI-assisted applications are causing organizations to take a more sober look at the cloud. Advanced capabilities are resource-intensive, high-powered applications such as deep learning, neural networks, AI models, and big data analytics processing.

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AIRI//S Recognized as Best AI Solution for Big Data

Pure Storage

Powerful analytics applications and AI frameworks require a technology stack that is advanced and optimized to process an abundance of data. Big data, analytics , and AI and ML technologies have grown in use across organizations so much that silos of data and applications are typically found across companies and organizations.

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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 )?

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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.