Real-time Analytics News for Week Ending August 28
In this week's real-time analytics news: IBM intros its first processor with on-chip real-time AI inferencing acceleration, NVIDIA offers a software suite to …
Topic: Streaming analytics, event processing
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
The Need for Continuous Intelligence in Higher Ed
Because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that of some businesses.
Continuous Intelligence and the Automation Spectrum
Continuous intelligence used in decision support or decision automation has the potential to deliver significant benefits to organizations that need to react …
On-Ramp to EDA: Basics and Benefits
EDA is a software development method for building applications that asynchronously communicate or integrate with other applications and systems via
Why Event-Driven is More Than Just Kafka
Developers and businesses need a scalable platform to host event-driven Kafka
Real-Time Digital Twins, In-Memory Computing Aid Vaccination Tracking
As we continue the COVID-19 vaccination effort across the globe and plan for future pandemics, we need to ensure that advanced technologies for streaming …
Real-time Analytics News for Week Ending April 24
In this week's real-time analytics news: Several AI educational efforts launch, NVIDIA intros new tools for data scientists, and several offerings that address …
The Challenges of Implementing and Scaling a DIY EDA
Organizations that opt to build their own EDA will face numerous challenges related to integration, deployment, performance, scalability, security, and more.
Continuous Intelligence Needs Real-Time and Historical Data
Businesses must accommodate streaming analytics to support the dynamic workflows demanded in the era of continuous intelligence.
The History of Real-Time Applications: Where’ve We Been, Where We’re Going
Technical and cultural obstacles that prevented more widespread use of real-time systems and applications are disappearing, thus making them more