As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

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 ...

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 ...

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 ...

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 ...

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 ...