CAMPBELL, Calif., Feb. 19, 2026 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management, today announces Komprise AI Preparation & Process Automation (KAPPA) data ...

Abstract: The diversity of heterogeneous data sources in pervasive modern enterprises requires scalable and adaptable Extract-Transform-Load (ETL) pipelines. Established rule-based ETL approaches and ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

This paper explores the integration of Physics-Informed Neural Networks (PINNs) and Robot Process Automation (RPA) tools in modeling and controlling rigid robotic joint motion. PINNs, which integrate ...

Artificial intelligence was responsible for almost 55,000 layoffs in the U.S. in 2025, per consulting firm Challenger, Gray & Christmas. Major firms including Amazon and Salesforce cut thousands of ...

Abstract: The job search process is lengthy, and candidates must manage multiple job offers, deadlines, and required skills. This project suggests a web-based and Chrome extension-based intelligent ...

Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...

Project-based learning is widely recognized as an effective pedagogical approach in software engineering education, fostering real-world problem-solving, collaboration, and the integration of theory ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

For this project, my primary responsibility was to set up the CI/CD pipeline and automate the database. The aim of my part was to automate the deployment of MySQL and MongoDB, run the ETL process ...