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How AI is helping companies meet sustainability goals

IBM Journey to AI blog

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. I previously led technical teams that helped customers with their AI implementations.

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Hungry for Data: How Supply Chain AI Can Reach its Inflection Point

Unite.AI

In such cases, companies are training AI models on their own, historical data and what they can glean from partners. But as EY analysts put it, “GenAI tools are only as powerful as their input data, so they are limited by the quality and availability of data from supply chain partners.”

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

IBM Journey to AI blog

Data products come in many forms including datasets, programs and AI models. 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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Watch This Space: New Field of Spatial Finance Uses AI to Estimate Risk, Monitor Assets, Analyze Claims

NVIDIA

By better understanding the environmental and social risks associated with an investment, the financial sector can choose to prioritize those that are more likely to support sustainable development — a framework known as environmental, social and governance (ESG). Ecopia uses NVIDIA GPUs to develop its AI models.

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