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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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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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AI Is Reaching New Milestones In Senior Care In 2019

Smart Data Collective

This figure is going to more than double by 2050. Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage. Addressing specific health risks facing seniors.

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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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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). With such an agile response, customers can transact with minimal disruptions and get access to financial services, without putting employees at risk. .