Nick Patience is lead analyst for AI and machine learning for 451 Research, a part of S&P Global Market Intelligence. He is part of the company's Data, AI & Analytics research channel but also 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.
At AWS re:Invent, the company announced numerous enhancements to its SageMaker ML tools and platform while unveiling some applications specific to manufacturing and other industries. This report focuses on these two aspects of the re:Invent announcements.
Results from our latest Voice of the Enterprise (VotE): AI & Machine Learning Use Cases 2021 survey highlight the major insights and developments over the year as well as the impact of COVID-19 on global adoption and progress.
Combining 451 Research's industry-leading analysis with insights from our extensive community of mid-level and senior IT and line-of-business professionals in North America and Europe, Voice of the Enterprise: AI & Machine Learning, Use Cases 2020 provides evidence of real-world use cases across all industries, but with a particular emphasis on financial services, healthcare, manufacturing, retail, energy and telecommunications.
Combining 451 Research's industry-leading analysis with insights from our extensive community of mid-level and senior IT and line-of-business professionals in North America and Europe, Voice of the Enterprise: AI & Machine Learning, Use Cases 2020 provides evidence of real-world use cases across all industries, but with a particular emphasis on financial services, healthcare, manufacturing, retail, energy and telecommunications.
Set up in 2019, The UK AI Council, a nonstatutory expert committee of independent advisers, has published its AI Roadmap to advise the UK government and 'put the UK at the forefront of artificial intelligence and data revolution.'
The company has changed tack in recent years, as it ditched the Leonardo brand and then appointed a global head of AI. It is now taking a completely application-centric approach to AI and has no intention of competing with general-purpose cloud platforms on this front.
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