Remove 2050 Remove Optimization Remove Risk
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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

However, the detailed findings of intelligent asset performance analysis allow financers to minimize risks and maximize expected returns,” the company reports. “This speeds up M&A transactions worldwide by optimizing the technical due diligence process of wind farms and machines in operation.

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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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Defining a new era of exponential companies

CIO Business Intelligence

The businesses of 2040 or 2050 will have more in common with the operating models built for 2030 than they will with those in 2020. And to do that, new operating models must be fashioned to become AI-native and optimized. Evolve: Identify literacy, skills, and technologies needed to execute (automate, optimize and augment).

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

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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 increased transparency allows IWB to quickly mitigate risks and develop short- and long-term countermeasures. As solar PV systems are added, the calculation methods automatically adapt.

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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.

IT 105
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Holistic asset management for utility network companies

IBM Big Data Hub

The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. Economical optimization must factor in new market dynamics and ensure reliable operation. Finding the right balance requires load forecasting and simulation to prevent net congestion.