Nick is a Managing Analyst with S&P Global Market Intelligence 451 Research, with responsibility for 451 Research’s coverage of Data, AI, Analytics, Information Security and Risk. As a co-founder of 451 Research and its lead analyst for AI and machine learning, Nick has been researching and exploring the use cases for machine learning since the company's inception in 2000. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick rejoined the team in 2015 after a successful three-year stint as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Since 2000 he has held multiple senior management positions at 451 Research, with experience in both New York and London. Prior to starting 451 Research, Nick was a financial and technology journalist with ComputerWire (now part of Informa) in London and New York. Nick has an MSc in Computing Science from the University of London, and a BA in Philosophy and Music from Middlesex University.
While generative AI models have been in development for years, the wide-scale productization of these models is a recent phenomenon, with many vendors included in our analysis currently in the beta or initial launch stage with their commercial products.
While generative AI models have been in development for years, the wide-scale productization of these models is a recent phenomenon, with many vendors included in our analysis currently in the beta or initial launch stage with their commercial products.
At this year's analysts-only event, SAS reaffirmed its plans to file an initial public offering, expected in 2025. The IPO was pushed out from 2024 while SAS worked to implement standardized financial processes. The delay comes with the benefit of the company formalizing its long-term AI strategy, which will likely invite closer public scrutiny post-IPO.
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