Generative AI Digest 13: A roundup of latest breakthroughs and developments
Biography
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.
Geographic Coverage
Global
Recent Research from Nick Patience
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Generative AI Market Monitor - Data File
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.
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Generative AI Market Monitor & Forecast
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.
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NVIDIA launches Blackwell successor to H100 GPU, containerized inference microservices
Graphics processing units are only one part of NVIDIA's artificial intelligence infrastructure story, as systems and software continue to evolve to support trillion-parameter, multimodal large language models at greater scale and improved efficiency.
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Are generative AI foundation models also model businesses?
The stars of the generative artificial intelligence world so far, we would argue, are the foundation model providers. However, a model is not an application in itself, so why has so much money been invested in foundation model companies, and how do you get from a model to an application?
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Cisco goes all in on artificial intelligence and observability
The company has set a steady pace of product enhancements. Its latest AI improvements are aimed at allowing IT to be more effective and address new use cases such as monitoring the security and permissions of data stored by the enterprise.
More research from Nick Patience
New Alert Set
"My Alert"
Failed to Set Alert
"My Alert"
