Salvatore Salamone

Autonomous BI represents a significant step toward truly intelligent enterprises where insights are continuously generated, contextualized, and delivered at the speed of business.

The evolution from Chief Data Officer to Chief Data, Analytics, and AI Officer reflects the shift in how enterprises derive value from their digital assets.

For manufacturing organizations that embraced smart manufacturing in 2025, the payoff extended beyond operational metrics to strategic value creation.

The low-altitude economy depends on continuous, real-time ingestion and processing of high-volume telemetry, sensor, and imagery data to support safe, scalable operations.

As we enter 2026, digital twins are transitioning from static virtual replicas to intelligent, data-driven systems that integrate real-time analytics and advanced AI.

In this week’s real-time analytics news: Multiple companies have announced their commitment to the U.S. Department of Energy’s Genesis Mission to use AI to accelerate science and drive energy efficiency.

The most effective enterprise automation strategies treat RPA and AI as complementary layers, not competing solutions.

In this week’s real-time analytics news: NVIDIA announced the NVIDIA Nemotron 3 family of open models, data, and libraries.

As AI and real-time intelligence continue to converge, success will increasingly depend on architectural discipline, economic realism, and measurable impact.

In this week’s real-time analytics news: There was a burst of activity on the quantum computing front in support of AI.

The deal signals a broader industry trend in which AI and real-time systems must converge to deliver on AI’s true potential.

The top five RTInsights articles of 2025 collectively highlight a major shift. Organizations are moving away from monolithic architectures and experimental pilots toward integrated, scalable, and intelligence-ready ecosystems.