5G and Digital Twins: It Takes an Ecosystem
Digital twins offer companies the opportunity to test out new 5G environments and conduct maintenance on existing rollouts without significant disruption.
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Remote Workforces and AIOps Go Hand-in-Hand in 2022
An AIOps solution can look at the aggregated data to detect patterns from work-from-home environments and predict problems before they arise and cause …
Digital Twins Enable Real-Time Analytics at Scale
Combining the digital twin concept and the power of in-memory computing promises to offer compelling real-time
Business Leaders Must Make Data Fabrics a Priority in 2022
Data fabrics ensure organizational-wide and on-demand access to data sets needed for efficient operations and digital transformation.
How to Use the AsyncAPI Standard for Real-Time APIs
Adopting AsyncAPI or other real-time API standards will be highly valuable to ensure apps can handle real-world events and drive digital
Monitoring or Observability? Why Not Both?
Pairing monitoring and observability is beneficial because not all problems identified by monitoring tools require sophisticated investigation.
New E-commerce Fast Data Loader Speeds Customer Analytics
The Fast Data Loader assists users allowing them to more quickly access the data they require to develop the analytics and insights to better engage
Omnichannel Customer Experiences Need Accurate First-Party Data
Customers engaging in digital-first, dynamic journeys expect relevant, meaningful, and consistent customer experiences regardless of how they interact with a …
Remote Condition Monitoring and Remote Service: Keys to Efficient Service Delivery for Service Teams
Companies are turning to remote service and condition monitoring to cut costs, make more efficient use of service staff, and vastly improve the operations of …
Reimagining ETL in the Era of Cloud Data
Reverse ETL empowers data teams to easily prep bulk data, move it outside the cloud data warehouse, and operationalize it for their organization.
