Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...

One of the earliest digital transformation drivers was digitalization, in which organizations converted paper-based processes to digitized workflows. In ideal circumstances, paper documents became web ...

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.

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Deep AI capabilities combined with Zoho's extensive suite of business apps brings unparalleled utilization of company data across the entire organization AUSTIN, Texas--(BUSINESS WIRE)--Zoho ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

If your team is still processing documents manually, tagging PDFs, entering invoice data, and copy-pasting from contracts, you already know how much time and accuracy it costs you. That's where ...

Key capabilities for data and information extraction help enterprises unlock value from their documents in the age of AI and agentic automation Realizing the benefits of agentic transformations relies ...

Clinical-grade, expert-supported natural language processing (NLP) is valuable to payers and providers when exchanging patient information through continuity-of-care documents. One of the most ...