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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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How OEMs Can Become the Automakers of Tomorrow

Pure Storage

How OEMs Can Become the Automakers of Tomorrow by Pure Storage Blog As we at Pure Storage continue to expand our investments into the Automotive industry, we sponsored another automotive event, Automotive USA 2023 , being held November 8-9 in Detroit. And second, automotive software is getting more complex, not less.

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Pure Helps OEMs Become the Automakers of Tomorrow

Pure Storage

Pure Helps OEMs Become the Automakers of Tomorrow by Pure Storage Blog As we at Pure Storage continue to expand our investments into the Automotive industry, we’re sponsoring another automotive event, Automotive USA 2023 , being held November 8-9 in Detroit. And second, automotive software is getting more complex, not less.

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Storage and Data Protection News for the Week of August 9; Updates from Commvault, Gartner, Iron Mountain & More

Solutions Review

Read on for more Gartner Releases 2024 Magic Quadrant for Backup & Recovery Software These bi-directional integrations empower customers to use their preferred security, data protection, and cyber recovery solutions. But a wave of AI challengers – and standouts in fintech, security and vertical software – are looking to close the gap.

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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.