AI case studies using {model/tool}



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L’Oréal built GenAI as a Service by developing a comprehensive set of declarative generative AI APIs accessible via its internal L’OréalAPI portal, enabling developers to integrate advanced AI features without worrying about LLM connectivity or billing complexities. Using Google Cloud Run for scalable, serverless deployment and integrating LangChain to connect with LLMs like Gemini Pro 1.5, the solution supports prompt completion, chat with memory, and image generation. This implementation streamlines internal workflows across multiple departments while ensuring robust data security and governance.
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MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks.
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