How To Prepare and Move Your Analytics and Machine Learning Projects to Hybrid Cloud
The Vertica SQL database and in-database machine learning solutions support the entire predictive analytics process with massively parallel processing and a …
Explores how in-memory computing technologies enable real-time analytics.
The Vertica SQL database and in-database machine learning solutions support the entire predictive analytics process with massively parallel processing and a …
ScaleOut's integration of its real-time, digital twin streaming service running in the Azure cloud and Microsoft’s Azure Digital Twins platform lets Azure …
Combining real-time digital twins with in-memory computing can enable complex, live systems that quickly analyze telemetry and identify emerging issues …
Research shows that an inadequate or lack of purpose-built infrastructure capabilities is often the cause of AI projects
Adding real-time analytics unlocks new use cases for Azure Digital Twins that go beyond modeling infrastructures to enable tracking live, mission-critical …
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the …
API platforms powered by in-memory computing are the fastest and most effective way to drive business performance and deliver highly-engaging customer …
Oracle is moving to make it possible to combine OLTP and OLAP workloads using a managed cloud database
Billions of mobile devices around the world can now initiate payments. But can the supporting IT infrastructure keep up with the growing pressure to process …
As the number of edge devices grows and enterprises push more processing to the network edge, data streaming solutions will become increasingly common to—and …