Salvatore Salamone

Organizations that align their data strategies with 2026 cloud evolution trends will be well-positioned for success in the modern AI-dominated business world.

Enterprise leaders call on providers to address the automation gap between enterprise IT systems and service provider networks.

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

Real-time analytics and AI demand compute where data lives. Learn how distributed clouds, GPUs-as-a-Service, and Neoclouds enable fast, intelligent decisions.

NaaS is the networking equivalent of cloud computing. For AI, intelligent edge, and GPU services, NaaS is the connective tissue that ensures these distributed high-performance resources can be consumed elastically and securely.

Cloud databases are evolving from static storage systems into active enablers of AI applications. Learn how vector search, real-time streaming, and multi-model capabilities are reshaping database strategies.

Neocloud providers are filling the need for fast and affordable access to the GPUs that enterprises need to support their AI efforts.

Cloud is a strategic asset rather than just a technical choice. These 2025 cloud trends underscore the shift from purely technical optimization to holistic business enablement.

Hybrid and multi-cloud data replication must address latency, consistency, security, interoperability, and cost challenges. Streaming, if adopted properly and implemented intelligently, can help in all of these areas.

Most organizations today cannot lean on just one or two data management solutions. What’s needed is a multi-tech data platform that ensures performance, security, and more.

As data becomes more complex, the need for a multi-tech platform has never been more evident. By looking beyond single solutions like Apache Cassandra or Apache Kafka and embracing a more holistic, integrated approach, businesses can future-proof their data strategies and stay competitive in an ever-evolving landscape.

Announcements from the conference put teeth into Red Hat’s approach to AI and automation. Similar to what was done with cloud and open source, Red Hat is now doing the same for AI with a platform for AI approach.