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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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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Many countries have committed to reaching net zero by 2050, aligning with the Paris Agreement’s goal to limit global warming to well below 2 degrees Celsius. trillion to the global economy by 2050. And they could drive economic gains: Research shows markets for carbon-neutral goods and services may be worth $10.3

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud. Optimizing with machine learning.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Insurers – Be Aware of the Hidden Exposures in assessing the economic impact of Climate Risk

Cloudera

Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their customers, as well as manage their own risks and exposure as a company.

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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

Machine Learning is already changing lots of fields, the one I’m most excited about is what’s happening in healthcare. From the ability to speed up discovery of new medicines to the unbelievable speed with which Machine Learning techniques are becoming particularly adept at diagnosis (think blood reports, X-rays, cancers etc.).