Architecture Automotive Technology 
Pure Storage
SEPTEMBER 18, 2023
Data Storage and the Future of the Automotive Industry by Pure Storage Blog The automotive industry has undergone remarkable transformations over the last five years, with advancements in technology driving major shifts in design, safety, efficiency, and connectivity.
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.
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Pure Storage
JULY 4, 2022
The automotive industry was once considered slow to change and technologically behind the times. It’s undergoing massive technological ferment. In particular, the use of data analytics in the automotive industry is expanding rapidly. . And it’s not a surprise that most rely on technology. Research and development.
Emergency Planning
FEBRUARY 9, 2021
With participation and oversight from the University of Florence's Department of Architecture, it was carefully reconstructed to anti-seismic standards, with full restoration of its historic buildings and the original character of its built environment. This small, ancient hilltop settlement was completely ruined.
Pure Storage
NOVEMBER 14, 2023
Data Storage Challenges in Electric and Hybrid Vehicles by Pure Storage Blog The automotive industry is headed the direction of electric cars. Software and AI are what underpin car electrification and deliver technology advances. There’s no shortage of stats on where this industry is going: More than 2.3 million.
Pure Storage
MAY 23, 2023
Pure Storage at AutoTech: DETROIT 2023 by Pure Storage Blog With all the dramatic changes shaping the automotive industry, this year’s AutoTech: DETROIT 2023, June 7-8, should be an exciting one. There is also a history of monolithic data architectures, usually built around massive databases such as Oracle or IBM DB2.
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.
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