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It’s Time for Automotive OEMs to Put Data First

Pure Storage

Original equipment manufacturers (OEMs) in the automotive industry are facing a rude awakening. Data-led technological advances are sweeping away decades of engineering-led tradition that was based on volume manufacturing and vehicle sales. Implications for Automotive Data Storage. The Transition from Engineering to Data.

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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. . The Right Platform for Automotive AI .

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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). Similarly, a data analysis sweep could pick up on a robot that is operating well below its capacity. To learn more about how automotive organizations can achieve value from their data, download the e-book. What has the experience taught you?

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Machine Learning vs. AI

Pure Storage

Reinforcement learning can be applied across different industries, including gaming, manufacturing, and healthcare. . Autonomous and semi-autonomous vehicles: In the automotive industry, AI enables self-driving cars to recognize lane markers and traffic lights and determine when they can change lanes. Types of Artificial Intelligence.

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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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Storage and Data Protection News for the Week of May 2; Updates from Rackspace, Infinidat, Rubrik & More

Solutions Review

Read on for more NOVA Infrastructure Invests in DartPoints NOVA’s investment includes a significant growth capital component designed to scale DartPoints’ platform and expand its footprint through targeted investments in capacity expansion and strategic M&A to meet market demand.