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.
NLP has once more become about the hottest area of innovation in AI, and Microsoft is right at the heart of that. The company's Project Turing language models, together with its partnership with OpenAI, represent major opportunities to unlock the challenge of scalable natural language processing.
As one of the first major application vendors to put machine learning front and center in its application strategy, the company has been at the forefront of enterprise use of machine learning for some time. In this report, we detail the latest updates.
Combining 451 Research's industry-leading analysis with insights fromour extensive community of mid-level and senior IT and line-of-businessprofessionals, Voice of the Enterprise: AI and Machine Learning, Infrastructure2020 provides a broad perspective of enterprise AI infrastructure strategy andinitiatives, spending and decision-makers, barriers to adoption and contours ofnew technology adoption.
The promise of autonomous manufacturing is a key part of the concept of Industry 4.0, which refers to the fourth industrial revolution. DataProphet is playing a part in getting manufacturers closer to full automation, and has already secured some brand name customers with its focus on avoiding defects that would result in downtime and cost penalties.
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.
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