Potential obstacles to implementing streaming analytics include outdated architectures, limited staff availability, and a lack of skills.
Topic: Streaming analytics, event processing
Examines issues related to streaming analytics and event processing technologies, including analytic tools and tactics, business insights, and use cases.
Augmented analytics is starting to be used in applications that help users do something they cannot do on their
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 …
Given the many ways CI applications work with data, organizations need flexible, high-performance, highly scalable data ingestion and analysis
For true, end-to-end digital transformation, companies need to think bigger and make the important shift in mindset from task automation to process
For businesses that routinely use real-time applications, cloud-native architectures significantly simplify application design, coding, and customization.
The AI Ladder, along with CRISP-DM, provides a strategic approach to creating CI applications on real time
Cloud-native is the architecture of choice to build and deploy AI-embedded CI applications because it offers benefits to both the business and
A confluence of factors is creating the perfect storm of the adoption and mainstream use of continuous
Continuous intelligence, which relies on real-time analysis of streaming events data, is being widely adopted across many industries, for many