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.
The cloud-based AI platform has become an almost essential part of enterprise adoption of AI, as new data from 451 Research's Voice of the Enterprise: AI & Machine Learning survey shows. Several vendors are looking to provide the winning combination of fundamental tooling and customization to get customers' AI initiatives up and running.
Expanding on its earlier work, Microsoft has now established an office that sets practices both internally and in customer-facing roles, upholding its six AI principles of fairness, inclusiveness, reliability and safety, transparency, privacy and security, and accountability.
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, business drivers, underlying technology, and the nature, pace and direction of AI/ML adoption. The Use Cases wave was completed in November 2019.
The M&A Outlook 2020 report represents 451 Research's comprehensive analysis of recent M&A activity and our forecast for trends that are expected to shape dealmaking in the coming year. All acquisition data comes from 451 Research's M&A KnowledgeBase, the industry's only technology-specific M&A database. The outlook and specific predictions for acquisition activity in six key IT sectors come from extensive research and forecasts from the more than 100 analysts at 451 Research.
The company represents a growing set of enterprises helping customers unlock value in their existing data assets. With $51m in funding and a broad portfolio of intelligent applications geared toward manufacturing and supply chain use cases, Noodle.ai is well on its way to achieving its goal of nipping operational waste in the bud.
The rising tide of 2018's record software M&A market gave way to a top-heavy 2019 as fewer business application vendors fetched a 10-figure price but a record number nabbed even bigger paydays. And while the overall market shrank a bit from 2018's high, last year still ranked much higher than typical years.
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