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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. Machine learning is already disrupting the global energy industry on a massive scale.

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Cloudera and AMD Spur Data Scientists to Take Climate Action

Cloudera

The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. This isn’t your ordinary hackathon — it’s meant to yield real, actionable climate solutions powered by machine learning.

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Making Remarkable Energy Grids a Reality

CIO Business Intelligence

Energy Information Administration forecasts 47% higher global energy demand by 2050. [1] 2] But by 2050, as we collectively seek to meet net-zero targets, 90% of the world’s electricity is predicted to come from renewable sources. [3] 3] (Download our infographic to learn more about recent trends.)