A data analytics system implemented via a back-end application computer server, comprising: (a) a first risk relationship data store containing electronic records that represent a plurality of risk ...
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 built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
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 ...
Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
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 ...
It’s not just the rapid advance of artificial intelligence technologies, but the varying types of AI deployed by automation tech suppliers that are creating some confusion in the manufacturing ...
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 ...
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