Data without context is fragmented — it cannot be used to effectively train AI agents or set up an appropriate workflow for ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Abstract: Extracting structured data from unstructured resumes and CVs is an intricate & extremely difficult task and it is also prone to mistakes especially during the Application Tracking System ...

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...

Model Context Protocol-based agentic integration allows for faster, more accurate access and usage of data and information to reduce errors and elevate productivity ...

OCR engines like Apple Vision, Google Cloud Vision, and Tesseract output flat lists of recognized text with bounding box coordinates. OCR Table Taxis reconstructs the logical table structure from that ...

NotebookLM can now turn your messy research into structured Data Tables December 20, 2025 By Robby Payne View Comments If you use NotebookLM, you know the magic: you dump in a dozen PDFs, transcripts, ...

Ripple said it deepened its relationship with brokerage firm TJM Investments, buying a minority stake that takes it further into the behind-the-scenes infrastructure that institutions use to trade and ...

Google has added a new feature to NotebookLM that turns messy research into something you can actually use. The company has introduced Data Tables, a tool that pulls information from multiple sources ...