The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

Data integration and data ingestion are two IT disciplines that are often confused. Here's how they differ and challenges you may encounter.

I'd like to share insights on the interplay between AI and data integration in reshaping the analytics landscape.

How Sarvesh Kumar Gupta’s visionary leadership and AI-driven architecture transformed fragmented diagnostic data into a unified, FDA-compliant platform redefining clinical insights and patient care.

The data integration platform supporting the global PLM project was completed in 2022 and went “live” in production that year, enabling lifetime data such as vehicle development to ...

Onehouse emerged last year with a cloud data lake product built on top of the open source Apache Hudi project. The startup wants to act as an integration layer to move data between different ...

Why Data Integration? Let’s first discuss why it is necessary to bind the PLM and Project systems together. In many companies, the R&D department and the Project Management Office (PMO) are often two ...

A clinically led, cross-functional team approach is essential during medical device integration projects to close data gaps, overcome common project pitfalls, complete optimal testing, and ensure ...

SyFu, a project in the DePIN (Decentralised Physical Infrastructure Network) × GameFi space, has partnered with open banking platform Salt Edge to enable card payment data integration across ...

IBM on Tuesday will unveil beta releases of the first two products from its Xperanto federated data integration project, DB2 Information Integrator and DB2 Information Integrator for Content ...