The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

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

Product lifecycle management (PLM) is undergoing major changes as artificial intelligence evolves from experimental technology to operational necessity. Traditional PLM systems were developed on ...