Real-time Analytics News for the Week Ending September 28
In this week's real-time analytics news: AI agents and multiple collaborations to tackle the demands of
How Real-time Decisions at the Edge Avoid Critical Latency Problems
Many modern applications must push processing and analysis closer to where data is generated, bypassing traditional centralized models that are often hampered …
What Does Real-time Mean in Today’s World?
Today, decisions need to be made in milliseconds and need to be made as soon as an event has occurred. Increasingly, there is a need for real-time analytics of …
Real-time Analytics News for the Week Ending September 21
In this week's real-time analytics news: The New Jersey Institute of Technology (NJIT) will establish the Grace Hopper AI Research Institute to advance the …
Enabling Low-latency Decision-making for Capital Markets Organizations
A talk with KX CEO Ashok Reddy about the need for a single platform that includes processing, analyzing, building models, and visualizing to enable low-latency …
Real-time Analytics News for the Week Ending September 14
In this week's real-time analytics news: Deloitte, working with NVIDIA and Oracle, announced the launch of AI Factory as a
Enhancing Digital Twins with Digital Engineering Capabilities
By integrating digital engineering methodologies with digital twins, EV manufacturers can streamline operations, enhance collaboration, and maintain a …
2024 Global IoT Market: More Smarter Devices
By integrating AI into IoT (a major trend in 2024), industrial environments can become smarter, more efficient, and capable of adapting to the complexities of …
Real-time Data Processing at Scale for Mission-critical Applications
As the demand for real-time insights and decision-making continues to grow, the ability to process and analyze data instantly is becoming a competitive …
Real-time Analytics News for the Week Ending August 31
In this week's real-time analytics news: MLCommons released the results of its latest benchmark