AI Based Data Extraction: Key Features and Implementation Examples

Automatic data extraction with AI speeds up workflows, improves accuracy, and enables smarter decision-making across multiple industries.
SiliconANGLE

Box expands its toolbox with more AI agents for search, deep research and data extraction

Cloud content management giant Box Inc. today is expanding its artificial intelligence capabilities with the launch of new AI agents for search, deep research and data extraction that will automate ...

New Report Reveals AI Data Curation Market to Hit $253 Billion by 2030 as Industry Shifts to ‘Work Phase’

AI data curation will hit $253B by 2030. As "dirty data" costs firms $12.9M , shifting to agentic memory and synthetic ...
Forbes

AI-Driven Automation: Revolutionizing Data Engineering With Agentic Mesh Architecture

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...
Business Wire

KIOXIA AiSAQ and Memory-Centric AI Innovations Enable AI-Based Automatic Image Recognition for Logistics Processes

SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced a collaboration between Kioxia Corporation, Tsubakimoto Chain Co. (Tsubakimoto Chain) and EAGLYS Inc. (EAGLYS) to develop ...
ascopubs.org

Human vs. AI: A comparative effectiveness study of large language models for automated biomarker extraction.

Leveraging artificial intelligence (AI) to optimize multidisciplinary tumor board workflows at OSF HealthCare’s network of cancer centers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...