In today’s hyperconnected world, the average enterprise juggles more than a 1,000 applications—a number projected to increase dramatically as innovation accelerates. Research firm IDC estimates that 1 ...

A major new review article led by researchers from the School of Mathematics at Harbin Institute of Technology has just been published in Quantitative Biology, offering a comprehensive comparison of ...

High-throughput screening (HTS) and multi-omics technologies have each transformed drug discovery independently; their integration represents the next evolution in how laboratories move from compound ...

In seeking the opinions of more than 500,000 clinicians on electronic health record interoperability, KLAS Arch Collaborative researchers learned that external integration was reported to be the worst ...

The lower the uncertainty in solar resource data, the lower the investment costs. IEA PVPS Task 16 has organized and published two benchmarks to make uncertainty of models and data comparable – a ...

Customer data integration (CDI) unifies data from multiple sources, creating a complete and accurate view of customers. It’s how your favorite online store knows exactly what you’re looking for—even ...

Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help. What has always fascinated me about Moore’s law is that for ...

Crowdsourcing, the practice of addressing a need or problem by enlisting the services of many people via technologies, is routinely used by transportation agencies to collect data that inform all ...

Data integration and data ingestion are two IT disciplines that are often confused with one another. Here’s how they differ and the challenges you may encounter. With the increasing amount of data ...