Remove 2050 Remove Machine Learning Remove Measurement Remove Optimization
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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. Without real-time power measurements, estimated power values were being used.

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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

All of that together is how we’re measuring the value of going to the cloud.”. National Grid, which has pledged to be fossil free by 2050, also has a geothermal project under way in New York. Optimizing with machine learning. It’s about increased security to the state. It’s about capacity management and resiliency.

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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

The industry-led alliance brings together 45 banks from 24 countries, which are “committed to aligning their lending and investment portfolios with net-zero emissions by 2050.” Cloudera Data Platform (CDP) is an enterprise data platform that optimizes risk and exposure management with predictive analytics and machine learning.