Questions, often more valuable than answers, guide the data extraction process, define key performance indicators (KPIs), and determine suitable analysis techniques.

Through intelligent document processing (IDP), the process of data extraction automation from unstructured and semi-structured documents and conversion into structured and usable data, AI has ...

Context Key Objective To describe development and use cases of ExtractEHR, a software package that was developed to extract and process data from the electronic health record (EHR). Knowledge ...

The startup Geniez has announced the end of its stealth mode and is focusing on developing software that connects large language models and agents with mainframe data, enabling real-time AI data ...

Learn how to extract data using ChatGPT and other open source large language models. Data extraction with GPT-3.5, GPT-4 and OpenChat 3.5 7B ...

Learn how you can automate the process of extracting data from PDF documents using AI and Zapier to autonomously create spreadsheets with ...

Traditional methods of producing bills of lading rely entirely on manual operations. Staff members must sift through piles of ...

The asymptotic solutions are compared to numerical solutions and data from coffee extraction experiments. The asymptotic solutions depend on a small number of dimensionless parameters and so are ...