Designing Low-Latency Systems for Real-Time Flight Availability
Delivering flight availability in real time (sub-second latency) under heavy load is challenging but achievable with the right architecture. Key strategies …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Delivering flight availability in real time (sub-second latency) under heavy load is challenging but achievable with the right architecture. Key strategies …
As visual intelligence becomes embedded in business operations, latency should be treated as a key performance indicator. And while addressing latency has …
The adoption of Real-Time Visual Intelligence empowers retailers to visualize and understand customer behavior intricately, enabling dynamic adjustments to …
In this week's real-time analytics news: Qlik made a number of announcements at its Qlik Connect 2025
Mathematical optimization offers its own prescriptive decision-making role to help teams make informed decisions on complex
AI’s use of real-time data for early fraud detection, streamlined claims processing, sophisticated underwriting, and dynamic risk management is already …
The transition to live maps and the integration of AI into every stage of mapmaking represent a new frontier for the geospatial industry. These advancements …
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience …
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any
In this week's real-time analytics news: NVIDIA announced that it will build AI supercomputers entirely in the U.S.