Nick Patience is 451 Research’s lead analyst for AI and machine learning, an area he has been researching since 2001. 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. Nick is also a member of 451 Research’s Center of Excellence for Quantum Technologies.
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 and information governance 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.
As it tries to stand out in a crowded chatbot market, the vendor is aiming to monetize its chatbot engine by offering what it is calling 'pretrained digital employees' " essentially chatbot or process-bot instances on demand.
The coronavirus outbreak has rapidly shifted global markets, including those related to enterprise technology, since we published our 2020 Trends report on Data, AI and Analytics in November 2019. This report serves as an update to our 2020 predictions in light of market changes due to COVID-19.
The seven-year-old company, which started when the founder won the ImageNet image classification competition, has seen success with its computer vision platform and is branching out into new data types, including text. Can it hold off the competitive threat of the major AI platforms of the largest public cloud vendors?
Combining 451 Research's industry-leading analysis with insights from our extensive community of mid-level and senior IT and line-of-business professionals, Voice of the Enterprise: AI & Machine Learning provides a broad, integrated view of enterprise strategy and initiatives, the business drivers, the underlying technology and the nature, pace and direction of AI/ML adoption. This research includes comprehensive, survey-driven analyst reports with customizable data deliverables. This Voice of the Enterprise: AI & Machine Learning survey was completed from May 4 to May 20, 2020.
Combining 451 Research's industry-leading analysis with insights from our extensive community of mid-level and senior IT and line-of-business professionals, Voice of the Enterprise: AI & Machine Learning provides a broad, integrated view of enterprise strategy and initiatives, the business drivers, the underlying technology and the nature, pace and direction of AI/ML adoption. This research includes comprehensive, survey-driven analyst reports with customizable data deliverables. This Voice of the Enterprise: AI & Machine Learning survey was completed from May 4 to May 20, 2020.
The coronavirus outbreak has rapidly shifted global markets, including those related to enterprise technology, since we published our 2020 Trends report on Data, AI and Analytics in November 2019. This foreword serves as an update to our 2020 predictions in light of market changes due to COVID-19.
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