Initial implementations have delivered 35% accuracy improvement and 10% reduction in product returns SAN FRANCISCO, CA / ...

Model Context Protocol (MCP) is redefining AI by enabling real-time tool integration, solving knowledge staleness, and ...

As digital transformation accelerates, now is the time to revisit your integration strategy and unlock the full potential of ...

Automation World’s wide-ranging discussion with CEO Caspar Herzberg, Executive Vice President Kim Custeau and Chief Product ...

DE leverages Model Based Systems Engineering (MBSE) and digital models to ... Two of the main architectural concepts we established are the digital backbone and a common data model.

The Growing Challenge of AI Inference at Scale AI inference is the process of using a pre-trained machine learning model to make predictions from real-world data ... It aims to tackle common ...

In the early days, computing was characterised by proprietary silos, but it evolved through the adoption of middleware standards, unified data models ... One Data Model will be the common language ...

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is one such effort, which facilitates the harmonization of heterogeneous health data using standardized terminologies and ...

On-premises solutions offer distinct advantages in latency ... Saurabh Kumar emphasizes that the future of data architecture rests in the strategic integration of cloud and on-premises solutions.