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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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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

Portugal : The country was one of the first in Europe to pledge carbon neutrality by 2050. By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use. Through AI, IoT and analytics, this cloud-based platform can optimize performance and reduce operational costs.

IoT 105
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Australian businesses need new servers to drive sustainability and innovation

CIO Business Intelligence

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

IoT 110
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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

First is building and buying talent to power National Grid’s IT transformation, which includes digitizing the grid and connecting it to a wide range of internet of thing (IoT) sensors and devices and to the host of emerging renewable energy sources such as solar, wind turbines, hydro innovations, and even battery technology.

IT 105
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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. New IOT devices will facilitate in-home senior care.