Salvatore Salamone

Companies moving to AI-powered predictive analytics are reporting measurable gains and leading firms are documenting robust ROI.

By pairing Kafka with adaptive edge processing, organizations achieve the best of both worlds: instantaneous local decisions and enterprise-wide intelligence.

Discover how adaptive edge intelligence drives real-time fraud detection, network optimization, predictive maintenance, and anomaly detection across industries.

In this week’s real-time analytics news: MLCommons announced new results for its industry-standard MLPerf Inference v5.1 benchmark suite.

To successfully scale enterprise AI, organizations must focus on enterprise productivity, rather than just individual task augmentation.

Industrial organization using AI agents must treat them as first-class citizens in the security architecture, not just as tools.

In this week’s real-time analytics news: Siemens and Snowflake announced a collaboration to connect OT and IT data.

In this week’s real-time analytics news: A light week for announcements leading into the three-day weekend U.S. holiday.

From ensuring consistent batch quality and eliminating manual inefficiencies to accelerating changeovers and improving overall plant agility, automation is the key to unlocking a smarter, more resilient production operation.

For F&B leaders looking to future-proof their operations, now is the time to embrace automation as a strategic enabler of sustainable growth and innovation.

In this week’s real-time analytics news: Researchers have developed a new approach to train open-source models.

Shifting to edge AI and analytics in industrial operations reduces latency, improves responsiveness, and lowers the cost of backhauling data to centralized clouds.