Salvatore Salamone

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.

In this week’s real-time analytics news: Red Hat announced Red Hat AI Enterprise and the Red Hat AI Factory with NVIDIA.

In this week’s real-time analytics news: The European Commission prods the creation of frontier general-purpose AI systems.

In this week’s real-time analytics news: Apache Software Foundation (ASF) announced that Apache HugeGraph has become a Top-Level Project (TLP).

Snowflake announced a $200M partnership with OpenAI to co-develop and deploy customized AI solutions for their joint customers.

In this week’s real-time analytics news: Sovereign Cloud efforts in the EU are heating up. SUSE launched a Cloud Sovereignty Framework Self Assessment to help businesses understand gaps in their digital strategy.