Vibe Coding: How AI-First Workflows Are Redefining Customer Data Engineering
In customer data engineering, speed and quality have historically been at odds. Vibe coding changes that equation. By enabling engineers to work at the level …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Real-time Analytics News for the Week Ending September 27
In this week's real-time analytics news: Google Cloud announced new AI-native capabilities to help data scientists and developers build intelligent, autonomous …
Real-time Analytics News for the Week Ending September 20
In this week's real-time analytics news: NVIDIA and Intel Corporation announced a collaboration to jointly develop custom data center and PC products to …
The Revenue AI Imperative: Connecting Data, Context, and Guided Selling in Real Time
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
How AI Enhances Predictive Analytics
Companies moving to AI-powered predictive analytics are reporting measurable gains and leading firms are documenting robust
How Kafka and Edge Processing Enable Real-Time Decisions
By pairing Kafka with adaptive edge processing, organizations achieve the best of both worlds: instantaneous local decisions and enterprise-wide
Real-Time Decisions at the Edge: Adaptive Edge Intelligence Use Cases Across Industries
Discover how adaptive edge intelligence drives real-time fraud detection, network optimization, predictive maintenance, and anomaly detection across
Real-time Analytics News for the Week Ending September 13
In this week's real-time analytics news: MLCommons announced new results for its industry-standard MLPerf Inference v5.1 benchmark
Real-time Analytics News for the Week Ending September 6
In this week's real-time analytics news: Siemens and Snowflake announced a collaboration to connect OT and IT data.
Are We Ready for the Real-time Demands of AI? Survey Says No
The ability to observe, monitor, and if necessary, intervene in AI-driven processes in real time has become the most pronounced challenge for enterprises of …