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

An inexpensive, autonomous, regolith-mining robot

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

Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Data Intelligence Platform.

Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases

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.

Mapping, Radial Basis Function, RBF, FSI

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.

Equity Beta Calculation and CAPM

This repo demonstrates a bank’s transaction clearing process, utilizing generative AI for real-time fraud detection and AML compliance, enhancing the detection of evolving fraudulent techniques.

Using Apache tika and tesseract to extact text from any document

Preempt fraud with rule-based patterns and select ML algorithms for reliable fraud detection. Use anomaly detection and fraud prediction to respond to bad actors rapidly.

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

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

Automated generation of MRM documentation

Example scripts for the Python scripting API of the SimVascular FSI simulation tool wrote during Summer 2019 and Summer 2020 internships @ Stanford CBCL.

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

Interpreting Guidewire CDA as delta table