A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time.

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

At the outset of any data journey, companies should strongly consider appointing a "data champion" who is ultimately responsible for leading the charge into becoming a data-driven organization and ...

Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.

Intelligent inventory planning Instead of relying on inaccuracy-prone traditional demand forecasting, Yellanki’s framework utilizes a predictive model driven by neural networks.

Introducing the Embabel Agent Framework, a pioneering platform developed by Spring founder Rod Johnson, designed to revolutionize AI applications on the JVM. By integrating structured agent ...

This week's Java roundup for May 19th, 2025, features news highlighting: Java’s 30th birthday; the release of Hibernate ORM 7.0 and Hibernate Validator 9.0; the May 2025 edition of Open Liberty ...

In this paper, we propose a novel data-driven policy making framework based on TOWS analysis, a well-established method for strategic extraction that systematically integrates internal strengths and ...

Sanket Deshmukh, associate professor in chemical engineering, and his team have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the ...