Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Martin Goodson

Martin Goodson
Chief Scientist and CEO, Evolution AI

Website | @martingoodson

Martin Goodson is the chief scientist and CEO of Evolution AI, where he specializes in large-scale natural language processing. Martin has designed data science products that are in use at companies like Dun & Bradstreet, Time Inc., John Lewis, and Condé Nast. Previously, Martin was a statistician at the University of Oxford, where he conducted research on statistical matching problems for DNA sequences. He runs the largest community of machine learning practitioners in Europe, Machine Learning London, and convenes the CBI/Royal Statistical Society roundtable, AI in Financial Services. Martin’s work has been covered by publications such as the Economist, Quartz, Business Insider, TechCrunch, and others.

Sessions

10:0010:30 Tuesday, 23 May 2017
Data 101
Location: Capital Suite 14
Level: Advanced
Martin Goodson (Evolution AI)
Average rating: ****.
(4.50, 4 ratings)
Data science continues to generate excitement, and yet real-world results can often disappoint business stakeholders. Martin Goodson offers a personal perspective on the most common failure modes of data science projects and discusses current best practices. Read more.
11:1511:55 Thursday, 25 May 2017
Secondary topics:  AI
Level: Non-technical
Martin Goodson (Evolution AI), Andrew Crisp (Dun & Bradstreet)
Average rating: ****.
(4.00, 8 ratings)
Martin Goodson gives a tell-all account of an ultimately successful installation of a deep learning system in an enterprise environment. Andy Crisp then shares insights into the challenges of integrating artificial intelligence systems into real-world business processes. Read more.