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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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AI in 2025: Purpose-driven models, human integration, and more

AI News

In 2025, open-source AI solutions will emerge as a dominant force in closing this gap, he explains. With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions?

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The Indian Business Responsibility and Sustainability Report (BRSR) explained

IBM Journey to AI blog

India’s Business Responsibility and Sustainability Report (BRSR)—a framework for environmental, social and governance (ESG) reporting—comes into effect in 2023. As India moves to mandatory ESG reporting, the BRSR is aimed at improving compliance, consistency and communication around non-financial disclosures.

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Using AI to conserve the endangered African forest elephant

IBM Journey to AI blog

. “MVI’s AI-powered visual inspection and modeling capabilities allow for head- and tusk-related image recognition of individual elephants similar to the way we identify humans via fingerprints,” explained Kendra DeKeyrel, Vice President ESG and Asset Management Product Leader at IBM.

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The EU’s Corporate Sustainability Reporting Directive explained

IBM Journey to AI blog

CSRD values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG, such as employee health, human rights, bribery, anti-corruption and diversity. NFRD vs. CSRD: Key differences explained The EU CSRD builds on the existing NFRD to make reporting more thorough and relevant.

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IBM Connected Trade Platform helps power the digitization of trade and supply chain financing

IBM Journey to AI blog

Supplier visibility and traceability is growing in importance to help achieve environmental, social and governance (ESG) targets. Siloed processes can become integrated by using intelligent workflows, which help enable seamless and automated exchange of financial, informational and physical supply chain data in one distributed network.

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Best Financial Datasets for AI & Data Science in 2025

ODSC - Open Data Science

Alpha VantageAlternative Financial Data Source: AlphaVantage Features: Technical indicators, fundamental data, FX and cryptodata Use Cases: AI-driven stock ranking models, automated tradingsystems Access: Free API with ratelimits 11. Conclusion The right financial dataset can be a game-changer for AI-driven financial applications.