Technology & Innovation

Making the Most of Machine Learning

April 18, 2018

North America

April 18, 2018

North America
Kevin Plumberg

Contributor

Kevin was a member of The Economist Intelligence Unit’s Thought Leadership team in North America and is based in San Francisco. From 2014-2017, he was based in The Economist’s Singapore office and led multi-year integrated content programmes such as Growth Crossings, a series about the new rules of global trade, and the Producers of Tomorrow, an initiative about the future of manufacturing. Prior to joining the EIU, he spent two years as Vice President, Institutional Marketing at BlackRock, the world’s largest asset management company. In that role, he produced and edited white papers, website articles and newsletters aimed at some of Asia’s biggest institutional investors. Kevin also spent 10 years as a journalist covering financial markets, economics and policy for Reuters in Singapore, Hong Kong and New York. As a correspondent and editor, he covered the global financial crisis from Wall Street and its aftermath in Asia, where he led market-moving coverage of the region’s economic policymakers.

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ML is not just a technology; it is core to the business strategies that have led to the surging value of organizations that incorporate it into their operating models

Research conducted by the Economist Intelligence Unit (EIU) and written in discussion with SAP shows that many organizations are moving ahead now, some aggressively, to integrate ML into their operations. For example, the survey of 360 organizations shows that on average 68% use ML to at least some extent today to enhance their business processes.

Our analysis of the data suggests that the rapid progress of ML is much more than an overreaction by management to another bout of technology hype. There are clear indications that organizations are using ML to significantly improve performance across the breadth of their operations. Some are aiming even higher: to use ML to change their business models and offer entirely new value propositions to customers. 

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