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 ...

Most of the early AI tools for advisors were built by small startups that sold them on a standalone basis. In contrast to the larger incumbent platforms where new products or features can take ...

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 ...

Reducto, the leading agentic document platform, today highlighted results from a new independent benchmark, LongExtractBench, released by micro1 evaluating document extraction systems on complex, ...

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

LiteParse, developed by Llama Index, addresses common challenges in parsing complex documents, such as misaligned tables and inflexible layouts, by focusing on structured data extraction while ...

From data extraction to coverage determination, AI is reshaping how travel insurers serve customers at their most vulnerable ...

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to the 2026 Blueprint report from TDWI.

Google's patent suggests AI may build entity profiles from websites, reviews, and public information. Here's what that could ...

Despite growing enthusiasm for artificial intelligence (AI), its practically adoption within Switzerland and Liechtenstein’s ...

There are reasons why AI has become the new workhorse for document processing. As operational costs rise, and qualified staff are hard to find and even harder to replace, getting the machine to do ...