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AItools 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.
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. Data product owners and service owners can innovate with Generative AItools.
Instead of spending a significant amount of time in Excel spreadsheets, one might spend some of their time building AItools that help derive insights and provide better planning and forecasting.
“AI is a complementary element to our existing strategy driving incremental growth,” Ben said. Last month, Stagwell agency YML , recently folded into the Code and Theory network, developed an AItool called Y-Chat, which is used to integrate any app with ChatGPT with less than 10 lines of code.
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).
We developed an AItool that acts as a giant sensor into the airline market, monitoring competitors, trends, and the overall market context. Based on this broad information, the tool now provides tailored innovation recommendations for Lufthansa. The company wanted to systematize and speed up its innovation processes.
According to EY, one area in which supply chain companies are exploring the use of GenAI is regulatory and ESG reporting. Second, GenAI and other AItools can help build a bridge toward greater supply chain automation.
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