With open banking, developers can integrate financial data from multiple institutions within the same application or share financial data between applications …
Topic: Industry Insights
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
While many businesses use low code for specific tactical purposes, companies also should view low code from a more strategic
The most significant implication of using mobile edge computing seems to be a continued focus on efficient data processing and gaining timely insights.
Tying data to locations can help retailers meet granular local data privacy regulations and reduce global latencies to meet customer performance
The study wants to establish once and for all that virtual reality is a viable solution for high-stakes training, such as that in emergency services.
Organizations getting started with AIOps may be surprised to discover how much of an AIOps knowledge base already
An event-driven architecture provides a foundation upon which financial services organizations can move from batch to real-time applications and modernize …
A cloud-native approach to application development based on an EDA, containers, and microservices allows businesses to offer innovative real-time products and …
Integrated Predictive Analytics: Enabling the Transition to Proactive Maintenance and New Business Models
IoT and sensor data that is made available remotely via wireless connectivity can be analyzed to look for trends and enable proactive
In addition to better serving customers and helping integrate systems, a cloud-native application architecture lets retailers adopt new business models.