Accelerating Into AI with Machine Learning & Deep Learning
I consistently hear from customers that one of their biggest challenges is how to best manage and learn from the ever-increasing amount of data they collect daily. It’s a significant contributor to why the artificial intelligence (AI) market is forecasted to increase from more than $640 million in 2016 to nearly $37 billion in 2025, with AI workloads growing at an estimated annual rate of 52%1. The rapid growth of data and new technology advancements has made it economically viable to adopt machine learning to disrupt new markets, improve operations, and pave a competitive advantage. Working with our strategic technology partners, we’re able to bring these powerful capabilities to organizations of all sizes and industries in more ways than ever before.
At this week’s Supercomputing 2017 conference, we unveiled THREE new solutions that converge our HPC and data analytics expertise along with next generation strategic partner technology and equip organizations to unlock faster, better and deeper data insights. First, what we coin as the ‘bedrock’ of any modern data center, the PowerEdge C4140, an ultra-dense, accelerator optimized server platform designed to handle intensive AI workloads. Coupling the C4140 with our HPC knowhow, we’ve built a new family of Ready Solutions; the Dell EMC Ready Bundles for Machine Learning and Deep Learning enable organizations to realize advancements across a wide array of use cases.
When you consider the applications of machine and deep learning in areas like strengthening security with facial recognition, improving health care, and understanding human behavior in retail, the possibilities are endless and exciting!
Take, for example, these customer stories:
MasterCard leverages artificial intelligence to help protect consumers against credit card fraud. With approximately two million applied rules to automate spend tracking; they handle 160 million transactions per hour and 52 billion per year. Utilizing Dell EMC machine learning technologies, they’ve accelerated the speed with which they can retrieve and validate transaction data, as well as apply new rules to prevent authorized card usage. Of equal importance to stopping unauthorized charges is ensuring that genuine charges are not falsely flagged as fraudulent and prohibited. As their machines become more intelligent, MasterCard is moving closer to a model of complete and proactive oversight, where inaccuracies are prevented before they occur, and customer disruption is minimized.
Read the entire article here, Accelerating Into AI with Machine Learning & Deep Learning
Via the fine folks at Dell