#data-validation

[ follow ]
fromwww.housingwire.com
3 days ago

Longbridge employs One Diligence's AI platform

Longbridge found an opportunity to improve how it verifies loan data between its origination system and loan documents during servicing transfers. After reviewing several options, the company chose One Diligence to provide a machine learningbased solution, the release said. Since implementation, we've already seen more than a 60% reduction in common data errors, directly contributing to a smoother borrower experience, said Richard Burke, senior vice president of servicing and operations at Longbridge Financial.
Artificial intelligence
Medicine
fromCornell Chronicle
1 week ago

NIH grant to fund autism research center | Cornell Chronicle

A three-year, $5.1 million NIH ADSI grant funds the AR2 Center to improve replication, validation, and reproducibility of autism research and strengthen public trust.
fromClickUp
4 weeks ago

10 Best Data Entry AI Tools to Automate Your Workflow | ClickUp

Manual data entry is nobody's dream job. Copying invoices, logging survey results, updating spreadsheets... it's slow and repetitive. And one typo away from chaos. If your days feel like one endless copy-paste loop, it's time to bring in reinforcements. AI-powered tools for data entry are built to tackle the grunt work. They extract, clean, validate, and organize your information-all while you focus on work that actually moves the needle.
Artificial intelligence
Data science
fromTalkpython
3 months ago

10 Polars Tools and Techniques To Level Up Your Data Science

Polars offers numerous advantages over Pandas, especially when enhanced with tailored libraries.
fromPeterbe
4 months ago

A Python dict that can report which keys you did not use - Peterbe.com

For testing large Python objects, ensure you're unit testing everything retrieved, especially when data in reports doesn't match the database query.
Django
Scala
fromHackernoon
1 year ago

Making AI-Powered Mutation Testing Reliable and Fair | HackerNoon

The study addresses the validity threats in mutation testing with LLMs through careful dataset selection and evaluation methodologies.
[ Load more ]