This summer, Univa sponsored an industry-wide survey, in conjunction with Dimensional Research to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning. With this in mind, this survey interviewed 344 technology and IT professionals worldwide and across 17 industries. Some key findings from this survey include:
These results reveal that machine learning is certainly poised for an explosive growth phase, with nearly every company anticipating more projects over the next two years – driven by numerous stakeholder groups within the company. Furthermore, there is a diverse set of ML projects that companies have initiated, showing there are several areas where ML can drive value. Yet currently, just 2 in 10 companies have ML projects running in production, citing cloud migration as the top technical challenge. As a result, this survey indicated to the Univa team that HPC users can benefit from the right guidance to help them fully utilize and scale these projects and resources across their on-premise, hybrid and cloud infrastructures.
For more details about this research and to access the complete report on the “The Future of Machine Learning,” conducted by Dimensional Research, visit the following link.