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In this solution accelerator, we demonstrate how generative AI, retrieval augmented generation (RAG) and multi stage reasoning can be used to better navigate through the complexities of regulatory filings, bringing more transparency for companies to disclose their societal and environmental impacts.
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
Shows how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse.
In this solution accelerator, we build a data asset that captures a full picture of the consumer and goes beyond traditional demographics, income, product and services (who you are) and extends to transactional behavior and shopping preferences (how you bank)
In this solution accelerator, we demonstrate a novel approach to consumer analytics by combining core mathematical concepts with engineering best practices and state of the art optimizations techniques to better model customers' behaviors and provide millions of customers with personalized insights
In this regulatory reporting solution accelerator, we demonstrate how Delta Live Tables can guarantee the acquisition and processing of regulatory data in real time to accommodate regulatory SLAs. With Delta Sharing and Delta Live Tables combined, analysts gain real-time confidence in the quality of regulatory data being transmitted.
Nasdaq Data Link Digital Assets is a part of Nasdaq's Investment Intelligence suite of products, designed to provide significant value to customers in making informed decisions. As the creator of the world's first electronic stock market, Nasdaq technology powers more than 70 marketplaces in 50 countries, and one in ten of the world's securities tr
This series of notebooks shows how the Lakehouse for Financial Services enables banks, open banking aggregators and payment processors to address the challenge of merchant classification
We demonstrate how FSI can leverage geospatial and graph analytics to anonymize card transaction data and monetize their assets to potential clients securely via delta sharing capability
In this series of notebooks centered around geospatial analytics, we demonstrate how Lakehouse enables organizations to better understand customers behaviours, no longer based on who they are, but how they bank, no longer using a one-size-fits-all rule but a truly personalized AI
By applying transfer learning on pre-trained neural networks, we demonstrate how Databricks helps insurance companies kickstart their AI/Computer Vision journey towards claim assessment and damage estimation.
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases