Eric Mueller-Kessler

Jul 19, 2024 | blog.purestorage.com | Eric Mueller-Kessler |Carey Wodehouse |Kirk Borne |Sonia Rose

SummaryAI models are only as reliable as the data that is used to train them. Clean data can help deliver better results faster, but having the right data infrastructure to support it will also be key. AI models are only as reliable as the data that is used to train them. Clean data can help deliver better results faster, but having the right data infrastructure to support it will also be key. History shows that new technology breakthroughs are hyped to the heavens when they launch.

Jul 18, 2024 | blog.purestorage.com | Carey Wodehouse |Kirk Borne |Kevin Rickson |Eric Mueller-Kessler

SummaryTwo of Pure Storage’s millennial employees share their perspectives about why they love Pure and why they believe it’s a great place to work. Two of Pure Storage’s millennial employees share their perspectives about why they love Pure and why they believe it’s a great place to work. Pure Storage has been recognized as a Fortune Best Workplace for Millennials for 2024, underscoring our commitment to fostering a supportive and inclusive workplace for the next generation of tech professionals.

Jul 1, 2024 | blog.purestorage.com | Eric Mueller-Kessler |Carey Wodehouse |Kirk Borne

Data collection and analysis influence nearly every aspect of the real estate industry today. Traditional business models are changing as more real estate companies and agencies take advantage of generative artificial intelligence (AI) tools, machine learning (ML) algorithms, and predictive analytics to discover trends and make better-informed decisions to drive profitability.

Oct 25, 2023 | blog.purestorage.com | Melody Zacharias |Sonia Rose |Eric Mueller-Kessler |Carey Wodehouse

Graphics processing units (GPUs) are the undisputed workhorses of AI projects. These small but dedicated cores are designed to perform thousands of calculations simultaneously. This massive parallelism makes them ideal for handling complex, data-intensive AI tasks, meeting the demands of AI and machine learning (ML) workloads at levels of speed and energy efficiency that central processing units (CPUs) simply can’t match.