Salvatore Salamone

In this week’s real-time analytics news: The annual Amazon Web Services re:Invent conference yielded numerous announcements from AWS and its partners.

Adaptive edge intelligence transforms edge nodes into mini real-time decision hubs, reducing reliance on centralized cloud decision pipelines and enabling responsive, autonomous behavior.

In this week’s real-time analytics news: A light week for announcements due to the Thanksgiving holiday in the U.S.

Sovereign AI gives countries the ability to develop, host, deploy, and govern AI systems using domestic data, infrastructure, and more.

This week’s event had a strong focus on AI. As a result, there were many announcements from Microsoft and its partners.

In this week’s real-time analytics news: Microsoft, NVIDIA, and Anthropic announced new strategic partnerships.

Explore why countries are prioritizing sovereign AI, the advantages of domestic AI ecosystems, and key insights from the World Economic Forum.

Backhauling data to centralized facilities no longer works in industries that have high volumes of continuous streaming data. That’s were adaptive edge intelligence can help.

IoT data is the fuel that powers adaptive edge intelligence. By analyzing IoT data directly at the edge, organizations gain the ability to interpret context the moment it occurs.

In this week’s real-time analytics news: MLCommons announced the results for the MLPerf Training v5.1 benchmark suite, highlighting the significant performance improvements from new generations of systems.

The shift toward real-time decision-making at the edge is an evolution in how businesses operate. Closing the latency gap means smarter, safer, and more resilient operations.

The network demands of today’s distributed AI workloads was apparent throughout this week’s annual Global NaaS Event (GNE).