Nick Patience is a Research Director with responsibility for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. Nick is also 451’s lead analyst for AI and machine learning and a co-founder of the company. He works across the entire research team to uncover and understand use cases for machine learning, an area he has been researching since 2001. Nick also oversees 451's Workforce Productivity & Collaboration research and is a member of 451 Research's Center of Excellence for Quantum Technologies.
Nick is a frequent speaker on the industry use cases for AI and the infrastructure that underpins its development and deployment.
Nick has a long background in research into how applications can take advantage of data – in particular unstructured data – using AI and machine learning. He is a cofounder of 451 Research and rejoined the team in 2015 after almost three years running product marketing at machine learning-driven eDiscovery software company Recommind (now part of OpenText). He has held various senior management roles at 451 Research in both in New York and London since 1999.
Prior to starting 451 Research, Nick was a financial and technology journalist with ComputerWire (now part of Datamonitor) in London and New York. Nick has a master's degree in computing science from the University of London, and a BA in Philosophy and Music from Middlesex University.
Our Voice of the Enterprise: AI & Machine Learning, Use Cases 2023 survey collects insight on AI initiatives and their progress from 1,011 midlevel and senior IT and line-of-business professionals across the U.S., U.K., France and Germany. This report highlights some of the key findings from that survey.
The Asia-Pacific Technology Adoption Index is a survey of technology adoption trends, purchasing authority, key technologies and vendors across Australia, China, Hong Kong, Japan, Singapore and South Korea.
Despite already having MLOps tools to help customers scale their AI deployments, the vendor felt that it needed more and has acquired Pachyderm, in which it already owns a minority stake. The deal is HPE's 34th since 2002 but first in over a year and a half.
AI and machine learning require infrastructure to work at scale. That infrastructure will include a lot of investment in the edge in the near future. In this report, we investigate the current state of AI workloads, the venues they are deployed in and growing interest in AI at the edge.
New Alert Set
"My Alert"
Failed to Set Alert
"My Alert"
Here are a few tips for navigating our Research.
Quickly access any of our research and data products.
Browse the research & data that aligns with your specific interest.
Discover new and more flexible ways of finding relevant content.
Set notifications for the topics & companies you care about most.
Access any page in the dashboard from here.
Hand picked content for you and your team.
