How Woodside is using Watson machine learning to predict itself out of catastrophes

Australian oil and gas giant, Woodside, prides itself on its technology and engineering heritage. So when it came to tapping historical and streaming data stores to improve operational efficiency, as well as predict and circumvent potential issues in its production facilities, the company went for the most cutting-edge machine learning technology on offer: IBM’s Watson. Speaking at the recent Chief Analytics Officer Forum in Sydney, Woodside’s principal data scientist, Elsa Jordan, shared with attendees the company’s journey to build a data science capability from scratch in one year that could be utilised by employees right across the organisation. Woodside established its data science practice in January 2015 and as part of its approach, is running the largest commercial instance of the Watson advisor engine. “Our premise was think big, prototype…


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