ML is glamorous, exciting and mysterious - all the things that documents and spreadsheets aren't. But we should be looking forward to a world in which deploying advanced ML technologies is just as normal as adding up a column of numbers, and where the human skill of knowing where and how to deploy these new tools is what counts.
In this session, Bill Thompson from 麻豆社 R&D and regular contributor to the World Service鈥檚 Digital Planet programme, demystifies machine learning and discusses with Jules Marshall, Director, Product Data, 麻豆社 Product Group her plans to deploy data at scale in the 麻豆社 and make ML more effective by establishing it as the norm.
