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 ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Leaders at the National Archives and Records Administration are ...

WestFax launches Comprehend, an AI-powered healthcare IDP platform automating medical document intake, extraction and routing.

This technology category has been growing at a CAGR of 37% because it provides financial organizations significant value compared to standalone data. The technology can be used to summarize documents, ...

The accelerated advancements and adoption of Artificial Intelligence (AI) and Large Language Models (LLMs) are reshaping entire industries and enterprise strategies. This is far from new “news.” The ...

Leading AI document processing platform adds generative PDF creation, enabling automated design and intelligent document workflows for enterprises. We're evolving beyond document processing to become ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

Apple AI continues to evolve through iOS 26 intelligence, introducing a 50 TOPS Neural Engine capable of real-time 4K video analysis and advanced visual processing. iOS AI features now extend beyond ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets. Contemporary ...