Automotive Capacity Technology 
Pure Storage
JANUARY 19, 2022
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.
Pure Storage
FEBRUARY 26, 2024
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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Pure Storage
AUGUST 11, 2022
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.
Emergency Planning
FEBRUARY 9, 2021
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.
Pure Storage
MARCH 15, 2022
It’s crunch time for automotive industry original equipment manufacturers (OEMs). million this year while investment in electric and battery technology will total $330 billion over the next five years. Similarly, a data analysis sweep could pick up on a robot that is operating well below its capacity.
Pure Storage
JUNE 21, 2023
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.
Pure Storage
NOVEMBER 1, 2022
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?
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