The hard truth about lifecycle management

IT gets lifecycle management wrong a lot. Search for a definition of lifecycle management and you’ll find something along the lines of: A strategic approach to managing the life cycle of an application or platform from conception to end of life — from provisioning, through operations, to retirement. Under this definition lifecycle management doesn’t seem…

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UAB IT helps fuel genomic breakthroughs

When Dr. Curtis Carver, Ph.D., took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Carver’s first priority then was to clean up the outdated mess and…

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AI is a Team Sport

It’s been widely reported that most AI projects fail, and there have been many explanations offered as to why.  One of the most important factors of a project’s success is simply assembling the right mix of people. You may not realize all of the players that need to be included.  So who do you need…

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How to Build an AI Infrastructure to Support NLP

When enterprises began deploying AI infrastructure solutions almost six years ago, they were breaking new ground in AI exploration, leading-edge research and “big science” challenges.  Since then, many businesses have focused their AI ambitions on more pragmatic use cases, including revolutionizing customer care, improving factory efficiency, delivering better clinical outcomes, and minimizing risk.  Today, we’re…

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