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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

ESG and SRI focus**: A significant portion of the list consists of ETFs/ETNs with an Environmental, Social, and Governance (ESG) or Socially Responsible Investing (SRI) focus, which suggests a emphasis on sustainable investing. xxxx USD Corporate Bond 0-3yr ESG UCITS ETF USD (Dist) 2.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Journey to AI blog

Figure 2: Compared results of different approaches Incorporating AI into IBM Envizi ESG suite to calculate Scope 3 emissions Employing LLMs in the process of estimating Scope 3 emissions is a promising new approach. Secondly, because there are millions of products and service for which spend based emission factor may not be available.

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

IBM Journey to AI blog

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. Popular service consumption types include download, API and streaming.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. Within this context, you can use generative AI to advance your organization’s ESG goals. The typical ESG workflow consists of multiple phases, each presenting unique pain points.

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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). The company uses NVIDIA GPUs for both training and inference.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Hyperparameter optimization is highly computationally demanding for deep learning models. Conclusion In this post, we showed how to use an EKS cluster with Weights & Biases to accelerate hyperparameter grid search for deep learning models. script exists in a Docker image that copies data from Amazon S3 to Amazon EFS.

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Harnessing Machine Learning for Climate Change Mitigation: A Roadmap to Sustainable Future

Heartbeat

By integrating environmental, social, and governance (ESG) criteria into investment strategies, ML facilitates capital allocation towards sustainable initiatives, renewable energy projects, and climate-resilient infrastructure. We're committed to supporting and inspiring developers and engineers from all walks of life.