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The Car as Code: Software Drives the Automotive Industry

Pure Storage

The Car as Code: Software Drives the Automotive Industry by Pure Storage Blog Let’s start with a bold quote: “Once, software was a part of the car. To help alleviate these automotive industry challenges, automakers are building their own, internal platforms. What Are the Biggest Disruptors in the Automotive Industry?

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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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Going “Beyond the Tailpipe” for Automaker Sustainability Using AI

Pure Storage

It has many potential applications in the automotive industry. . Because EV technology is so much newer than century-old ICE technology, it offers far more opportunity for new design and innovation. Automakers are no longer limited by well-worn technologies that can only be incrementally improved.

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The 1980 Southern Italian Earthquake After Forty Years

Emergency Planning

Civil protection, in the form of locally-based disaster response capacity, would begin to emerge in the following decade, which would end with the inauguration of the United Nations Decade for Natural Disaster Reduction. Nonetheless, there were some surprising victories in the food processing and automotive sectors.

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

Pure Storage

We share some of the survey results below for a view into supporting people, process, and technology in an adaptive, flexible way in the future. That choice is followed by hybrid technology (27%), disk (6%), and flash (3%). and 77% (automotive and other industries) to 82% (telecom).

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Machine Learning vs. AI

Pure Storage

In simple terms, AI is a wide field of technology that’s used to create intelligent machines, while ML is a subset of AI that uses algorithms to learn from data independently of human intervention. . Both these technologies seek to create systems that can solve complex problems and make intelligent decisions. What Is Machine Learning?