New module addresses multi-billion-dollar data quality challenge in life sciences by automating data cleansing, standardization, and transformation for AI readiness Built for scale, security, and ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

To help address the important challenge of photovoltaic module end-of-life (EoL) management, an automated module quality assessment methodology to determine the preferred EoL paths of fielded ...

With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at checking ...