Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

High reliability applications in service-critical markets, such as autonomous driving and cloud computing, demand maximum performance and minimal power and cost. Reducing design margins while ...

In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best ...

The Databricks Unified Data Platform, using the Google Kubernetes Engine, can be deployed in a containerized cloud environment and link to Google BigQuery and other GCP services. Databricks’ Unified ...

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...

As the complexity of integrated circuit (IC) designs continues to rise, the task of verifying these designs has become increasingly challenging. The pace of this growth is staggering, with design ...

Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery Data from six hospital information ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...