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Summary
Our digital world is inundated with human language, and Natural Language Processing (NLP) is the field that aims to use AI to automatically process, understand, and leverage such information. Our society is experiencing a revolutionary period as these NLP computational models become powerful, accurate, and useful enough to play a role in our daily lives – including voice assistants, intelligent search engines, smart auto-complete for emails and texts, Google Translate, and more. Recently, ChatGPT has caught the world’s attention, as it constitutes a large leap forward and unlocks incredible capabilities.
In this talk, moderated by Alex Johnston from 451 Research, our panelists will provide a primer on the field, including a discussion of the technology that fuels nearly all NLP advances (Language Models); describe Kensho’s NLP products, which leverage rich S&P data; and detail Kensho’s ongoing research efforts and successful path forward within this exciting, historical era. Webinar attendees will come away with an understanding of these NLP developments and how NLP can serve their organization's needs.
Moderator
S&P Global Market Intelligence
Alex Johnston
S&P Global Market Intelligence
Senior Research Analyst, Data, AI & Analytics
Alex Johnston is a research analyst on the 451 Research Data, AI & Analytics team at S&P Global Market Intelligence. He focuses on emerging technologies and how they can be applied in business contexts. Alex's primary coverage areas are artificial intelligence, distributed ledger technology, event stream processing and data marketplaces.
Before joining S&P Global Market Intelligence, Alex was a principal analyst at Procurement Leaders, leading much of the research on procurement and supply chain. His specialty focus was procurement and supply chain technology markets, advising chief procurement officers on digital roadmaps and building out a suite of diagnostic tools. He has a background in qualitative and quantitative research and has significant data science experience. Alex holds a history degree from the University of Warwick.
Alex’s recent areas of concentration include monitoring the emerging generative AI market, tracking the evolution in blockchain use cases and investigating real-time architectures.
Speakers
S&P Global
Chris Tanner
Kensho
Head of R&D
Dr. Chris Tanner is the Head of R&D at Kensho, where he directs Machine Learning (ML) and Natural Language Processing (NLP) research that primarily concerns language modelling, structured document extraction, entity linking, and summarization.
Dr. Chris Tanner is the Head of R&D at Kensho, where he directs Machine Learning (ML) and Natural Language Processing (NLP) research that primarily concerns language modelling, structured document extraction, entity linking, and summarization. Chris also holds a joint faculty appointment at MIT, where he teaches large ML/NLP graduate courses. Before joining Kensho, Chris was a full-time lecturer at Harvard, where he also advised graduate students on research. Since 2004, he has conducted ML research within industry, government, and academia, with positions at MIT Lincoln Laboratory, Spotify, Google, IBM Watson, etc. He received his PhD from Brown University.
Peter Licursi
Kensho
Chief Strategy Officer
Peter Licursi is the Chief Strategy Officer at Kensho, where he works closely with S&P Global to develop and implement strategic initiatives aimed at productizing and commercializing Kensho services.
Peter Licursi is the Chief Strategy Officer at Kensho, where he works closely with S&P Global to develop and implement strategic initiatives aimed at productizing and commercializing Kensho services. He oversees the Sales, Business Development, Marketing, and Client Solutions teams. Peter joined Kensho in 2017 and has a wealth of experience in the technology and AI space, having worked on the Research, Engineering and Product teams. Prior to joining Kensho, Peter was a deputy editor at The New Yorker, where he helped to run the magazine's research department. He holds a B.A. from Columbia University.
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