Adding context to data has been a goal for enterprise communications – especially in the customer experience – for over a decade. Data without context is fragmented, which means it cannot be used to ...

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...

According to Andrew Ng (@AndrewYNg), LandingAI has launched a new course titled 'Document AI: From OCR to Agentic Doc Extraction,' taught by David Park and Andrea Kropp (source: Andrew Ng on Twitter, ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

AMSTERDAM, Dec. 2, 2025 /PRNewswire/ -- DataSnipper, the intelligent automation platform for audit and finance teams, today announced the launch of AI Extractions, a new capability that turns ...

The MarketWatch News Department was not involved in the creation of this content. AMSTERDAM, Dec. 2, 2025 /PRNewswire/ -- DataSnipper, the intelligent automation platform for audit and finance teams, ...

Background: Global clinical trials collect extensive unstructured medical records that richly describe participants’ clinical presentation, but their narrative format precludes quantitative analysis.

Jesse Todd, CEO of EncompaaS, is a SaaS expert specializing in information management and risk mitigation for Fortune 500 companies. AI has the potential to transform how organizations operate, but ...

Background: Preventive cardiology relies on a comprehensive view of patient health, including biomarkers and imaging findings. However, critical data, such as coronary calcium scores (CCS) and ...

The final, formatted version of the article will be published soon. Background and objective. Structured clinical data is essential for research and informed decision-making, yet medical reports are ...