A revolution is playing out quietly in the world of debt recovery, thanks to artificial intelligence. Bots are now collecting ...

The answer, according to new research from the data and AI platform company, is sobering. Even the best-performing AI agents achieve less than 45% accuracy on tasks that mirror real enterprise ...

Excel files often contain data we never meant to share. Saving a workbook adds metadata—like who created it and when—and we ...

Even prolific shoppers have a hard time with complex purchases. Take home appliances, for example. Until recently, finding a ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

I get a weird bug on trying to parse an excel file exported from WPS Office (Android). [Item Name, Category, Sales Price, Purchase Price, Opening Stock, Low Stock, Item Code, HS code, Description] ...

What if you could transform the chaos of unstructured data into actionable insights with just a few tools? Imagine an AI-powered system that not only understands your documents, spreadsheets, and PDFs ...

Abstract: The increasing use of large language models has heightened the demand for more extensive datasets in natural language processing (NLP). While various augmentation techniques are being ...

financial-data-parser/ ├── src/ │ ├── core/ │ │ ├── excel_processor.py # Excel file reading and processing │ │ ├── type_detector.py # Data type detection engine │ │ ├── format_parser.py # Complex ...