Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

This project is a robust, lightweight API designed to automatically ingest PDF documents (such as invoices), extract structured data using pre-defined templates, and persist the results into a ...

Zurich, Switzerland--(Newsfile Corp. - December 12, 2025) - Evomi, the Swiss-based proxy provider known for its privacy-first approach and ethical data collection practices, today announced the launch ...

The MarketWatch News Department was not involved in the creation of this content. Zurich, Switzerland--(Newsfile Corp. - December 12, 2025) - Evomi, the Swiss-based proxy provider known for its ...

Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. Microsoft Azure is now so big it’s ...

Across the U.S., new AI-driven data centers are causing a significant increase in power demand. Carbon Direct projects that data center capacity in the U.S. will grow from roughly 25 GW in 2024 to 120 ...

This project implements an ETL data pipeline using Apache Airflow (Astro CLI) to automate the extraction, transformation, and loading of stock market data into a PostgreSQL database for analytics and ...

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Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

Seemingly simple problems often defy simple solutions. Companies worldwide have almost endless amounts of potentially valuable data and intelligence locked up in documents such as Word files, PDFs, ...