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

IBM Journey to AI blog

Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Popular service consumption types include download, API and streaming.

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