Bringing Real-Time to Streaming Analytics with Digital Twins
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 …
Topic: In-memory computing
Explores how in-memory computing technologies enable real-time analytics.
What Differentiates Real-Time Digital Twins?
Combining real-time digital twins with in-memory computing can enable complex, live systems that quickly analyze telemetry and identify emerging issues …
AI Workloads Need Purpose-built Infrastructure
Research shows that an inadequate or lack of purpose-built infrastructure capabilities is often the cause of AI projects
ScaleOut Brings Real-Time Capabilities to Azure Digital Twins
Adding real-time analytics unlocks new use cases for Azure Digital Twins that go beyond modeling infrastructures to enable tracking live, mission-critical …
Digital Transformation: How AI Can Help CFOs
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the …
How API Platforms Can Drive Digital Transformations
API platforms powered by in-memory computing are the fastest and most effective way to drive business performance and deliver highly-engaging customer …
Oracle Melds Analytics with OLTP in MySQL DB
Oracle is moving to make it possible to combine OLTP and OLAP workloads using a managed cloud database
Modernize Payment Processing Technologies to Meet the Demands of the Mobile Age
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 …
Stream Data from the Network Edge for Insight-Driven Advantage
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 …
How to Create a Digital Integration Hub to Run Real-Time Business Processes
Digital Integration Hub architectures let businesses query across real-time and historical data to improve operations and drive better business decision
