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How the right data and AI foundation can empower a successful ESG strategy

IBM Journey to AI blog

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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An integrated asset management data platform

IBM Journey to AI blog

Monitoring energy efficiency and greenhouse gas or fugitive emissions can directly contribute to environmental, social and governance (ESG) reporting, helping to manage and reduce the carbon footprint. Read more about IBM Data Model for Energy and Utilities The post An integrated asset management data platform appeared first on IBM Blog.

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Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization

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To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy.

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Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture

IBM Journey to AI blog

According to a recent IBM Institute for Business Value survey, 95% of surveyed global executives say their organizations have developed ESG propositions. However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress.

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