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Title
IFC assesses ESG risk with AI-powered MALENA platform
…ty.” To achieve this mission, IFC built MALENA or Machine Learning ESG Analyst. MALENA is an AI-powered platform that supports the review and analysis of massive amounts of text to identify ESG opportunities and risks. MALENA is designed for IFC as well as for other users such as institutional inv…
Description
The International Finance Corporation (IFC), part of the World Bank Group, built MALENA (Machine Learning ESG Analyst), an AI-powered platform that uses NLP, sentiment analysis and named entity recognition to extract ESG insights from unstructured text such as impact assessments, news articles and sustainability reports at scale. Built on the Databricks Data + AI Platform with GPU computing and MLflow for the ML lifecycle, MALENA analyzes 19,000 sentences per minute (a 950x increase over manual review) and identifies 1,200 ESG risk terms, reducing document analysis time from weeks to days and enabling IFC to offer MALENA to external users as the World Bank Group's first AI as a Service.
…ment analysis times have been reduced from weeks to days for ESG due diligence. MALENA can analyze 19,000 sentences per minute; compared with the average human reader who can only read 15 to 20 sentences per minute — that is a 950x increase. With access to such ESG analytical capabilities, IFC is expanding its support f…
Company
International Finance Corporation (IFC)
…Harnessing AI for Sustainable Investing in Emerging Markets: IFC's MALENA A member of the World Bank Group, IFC is the largest global development institution focused on making investments in the private sector in emerging markets. IFC understands the importance of making investment decisions guided by respons…
Problem
Previously reliant on manual processes and limited data processing tools, the operationalization of ML models to analyze roughly 21 million pages of text took months to complete, and training and fine-tuning large language models was limited and resulted in frequent failures, with limited cluster choices impacting the ability to optimize model performance.
…ience platform to support MALENA’s NLP and large language model training needs. Previously reliant on manual processes and limited data processing tools, the operationalization of ML models to analyze roughly 21 million pages of text took months to complete. Before the Databricks Data + AI Platform, “training and fine-tuning large langu…
Solution
IFC built MALENA, an AI-powered platform that supports the review and analysis of massive amounts of text to identify ESG opportunities and risks; IFC has trained sentiment analysis models to extract insights from across hundreds of thousands of documents, and named entity recognition is used to integrate external data sources and connect news stories to client profiles, all running on the Databricks Data + AI Platform with GPU computing and MLflow for the ML lifecycle.
…ty.” To achieve this mission, IFC built MALENA or Machine Learning ESG Analyst. MALENA is an AI-powered platform that supports the review and analysis of massive amounts of text to identify ESG opportunities and risks. MALENA is designed for IFC as well as for other users such as institutional inv…
Business value
In-house document analysis times have been reduced from weeks to days for ESG due diligence; MALENA can analyze 19,000 sentences per minute, compared with the average human reader who can only read 15 to 20 sentences per minute, a 950x increase; and IFC has developed 10,000 company profiles and expanded insights for more than 180 markets.
…y to analyze ESG issues in emerging markets through deploying AI. For starters, in-house document analysis times have been reduced from weeks to days for ESG due diligence. MALENA can analyze 19,000 sentences per minute; compared with the average human…
…to integrate external data sources and connect news stories to client profiles. As a result, IFC has developed 10,000 company profiles and expanded insights for more than 180 markets. And to ensure the performance of all their models over time, IFC’s MLOps levera…
Headline outcome
…ment analysis times have been reduced from weeks to days for ESG due diligence. MALENA can analyze 19,000 sentences per minute; compared with the average human reader who can only read 15 to 20 sentences per minute — that is a 950x increase. With access to such ESG analytical capabilities, IFC is expanding its support f…
Use case type
Document processing
…ty.” To achieve this mission, IFC built MALENA or Machine Learning ESG Analyst. MALENA is an AI-powered platform that supports the review and analysis of massive amounts of text to identify ESG opportunities and risks. MALENA is designed for IFC as well as for other users such as institutional inv…
AI capabilities
Document Intelligence, Generative AI
…ESG insights and the volume of unstructured textual data continues to increase, IFC recognized the need for a data science platform to support MALENA’s NLP and large language model training needs. Previously reliant on manual processes and limited data processing tools, the o…
Industry
Government & Public Sector
…ter quality investments and a more sustainable future.” Share this post Details Industry : Public Sector Cloud : Azure Product : Delta Lake , Lakeflow Jobs , Agent Bricks , Unity Catal…
Technology
Databricks Data + AI Platform, MLflow, Azure Data Lake
…Laura. Building a Smarter Approach to ESG Analysis with Lakehouse Architecture By leaning on the power of Databricks Data + AI Platform, IFC experienced the advantages of GPU computing that scaled on-demand to support analytics and ML workloads. With Azure Data La…
…data pipelines for ingestion, transformation, and scheduled pipeline execution. MLflow and Model Registry provide the tooling necessary to track model performance, versioning, and artifacts throughout the entire ML lifecycle. The lakehouse has enabled IFC to access faster data processing and run large-sc…
…s of GPU computing that scaled on-demand to support analytics and ML workloads. With Azure Data Lake and Lakeflow Jobs, they were able to create and orchestrate data pipelines for ingestion, transformation, and scheduled pipeline execution. MLflow and Mod…
Deployment model
cloud
…nd a more sustainable future.” Share this post Details Industry : Public Sector Cloud : Azure Product : Delta Lake , Lakeflow Jobs , Agent Bricks , Unity Catalog Ready to ge…
Deployment options
cloud
…nd a more sustainable future.” Share this post Details Industry : Public Sector Cloud : Azure Product : Delta Lake , Lakeflow Jobs , Agent Bricks , Unity Catalog Ready to ge…
