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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. This guide can be used as a roadmap for integrating generative AI effectively within sustainability strategies while ensuring alignment with organizational objectives. A Gartner, Inc.

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How to accelerate your data monetization strategy with data products and AI

IBM Journey to AI blog

Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Their data services were a full dataset download plus an API wrap around the data, which could be queried for ESG data based on a company ticker symbol.

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Harnessing Machine Learning for Climate Change Mitigation: A Roadmap to Sustainable Future

Heartbeat

By integrating environmental, social, and governance (ESG) criteria into investment strategies, ML facilitates capital allocation towards sustainable initiatives, renewable energy projects, and climate-resilient infrastructure.