Salvatore Salamone

Explore the top smart manufacturing trends for 2026, including AI, IoT, and automation. Learn how manufacturers are using these technologies to reduce costs, improve efficiency, and build resilient, data-driven operations.

In this week’s real-time analytics news: Qlik introduced a sovereign AI initiative and an expansion of its trust and governance capabilities for AI.

In this week’s real-time analytics news: StreamNative introduced Lakestream, a new architectural paradigm for lakehouse-native streaming.

The latest MLPerf benchmark results paint a clear picture of an AI infrastructure ecosystem in rapid transition.

In this week’s real-time analytics news: MLCommons announced new results for the MLPerf Inference v6.0 benchmark suite.

To successfully scale agentic AI, enterprises need to approach it as a systems engineering problem, not just a model deployment exercise.

In this week’s real-time analytics news: Oracle announced new agentic AI features for Oracle AI Database.

In this week’s real-time analytics news: NVIDIA and its partners made numerous AI-related announcements at this week’s annual GTC event.

NVIDIA launched NVIDIA Nemotron 3 Super, a 120 billion parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale.

Agentic AI changes where value is created in the software stack. When analysts discuss the “death of SaaS,” they rarely mean that cloud applications will disappear. Instead, they mean the SaaS model may lose its central role in enterprise computing.

In this week’s real-time analytics news: IBM launched Db2 Genius Hub, which brings autonomous capabilities to Db2.

Neoclouds offer performance specialization, which increasingly is factored into what some call multi-compute strategies. In general, what that means is that enterprises are using hyperscalers for general workloads, neoclouds for model training, and edge infrastructure for inference.