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.
So much is happening in generative AI that we plan to produce one of these roundups each month for as long as it makes sense to do so. We augment this with reports on product releases from vendors, as well as other developments, as part of our Market Insight service.
The company has a long trajectory in artificial intelligence with its Einstein set of tools. That brand has now been repurposed to include a layer of capabilities to ensure that its generative AI is trustworthy. Targeted use cases include auto-generating personalized email, chat replies and code.
Generative AI has reframed the enterprise understanding of artificial intelligence, from a tool for pattern classification to an engine of content generation. This has reshaped the landscape for automation, opening up a wealth of opportunity in areas such as copy generation, product design, translation and summarization.
This report leverages S&P Global Market Intelligence's deep knowledge of and relationships within the Generative AI market, resulting in a proprietary forecast based on a bottom-up analysis of 262 vendors' current revenue and growth expectations through 2028. Included is our market taxonomy, market-sector and geographic revenue estimates/growth forecasts and a view of the competitive landscape for each sector.
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