Researchers have developed a new, data-driven way of fitting prosthetic legs that could lead to better-fitting prosthetics, in less time and at a lower cost.

DoorDash has launched a badge serving framework (BSF), a configuration-based system that decouples UI badge logic from application code. BSF allows the company to manage badges through backend ...

Based on the characteristics of behavioral patterns, this paper constructs a data-driven knowledge discovery framework for smart education management. The aim is to realize automatic education effect ...

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).

The first Java project task is to choose a framework. Here's how to select which one is right for your needs: Spring, Jakarta EE, Quarkus or another option.

To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier architecture, where trust, governance, and transparency precede autonomy.

Jakarta EE, a working group hosted by the Eclipse Foundation, today announced the general availability of the Jakarta EE 11 Platform, the latest version of its enterprise Java platform.

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

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.