In today’s fast-moving digital world, organizations are turning to open-source technologies to break free from vendor lock-in and support rapid innovation. This article explains how open-source databases, streaming engines, and search tools are shaping the future of scalable, flexible data infrastructure.

This strategic guide offers best practices for designing scalable data pipelines that stand the test of time. Learn how to apply core architectural principles — like decoupling, fault tolerance, observability, and elasticity — to build pipelines that are reliable, performant, and adaptable to changing business needs.

As enterprise data accelerates, autonomous AI agents are helping organizations connect real-time intelligence to faster, controlled decision-making.

In this week’s real-time analytics news: Dell Technologies made a number of AI-related announcements at this week’s Dell Technologies World.

Discover how vector databases and semantic search are transforming unstructured data analytics. Learn how enterprises use these technologies to unlock insights from documents, customer interactions, sensor data, and operational intelligence.

In this week’s real-time analytics news: At this week’s Think conference, IBM announced Sovereign Core and an expansion of enterprise AI and hybrid cloud management capabilities.

Drone programs have already proven their value as a data collection tool across construction, agriculture, energy, and infrastructure. The next frontier is making that data work harder.

In this week’s real-time analytics news: The Google Cloud Next conference produced many partner announcements.

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.

By gaining clear visibility into how AI is used, businesses can provide support where it’s needed most and enable employees to use AI more effectively. The result is a workforce where all employees can unlock the full potential of AI, turning inconsistent AI adoption into true ROI.

Zero Trust, done properly, is a forcing function for something the industry has needed for a long time: a genuine operating model where network engineering and security engineering are not adjacent disciplines with competing priorities, but a single function with a shared objective.

The mandate for the remainder of the year is clear: business leaders can no longer outsource AI responsibility to the IT department. Because AI is making business decisions, business leaders must own the outcomes.

Real-time analytics and production AI systems are becoming deeply interconnected across modern enterprises. In real-time environments, resilient pipelines increasingly shape the reliability of the entire AI system.

In this week’s real-time analytics news: The Red Hat Summit saw numerous AI-related announcements from Red Hat and its partners.

Enterprise AI adoption is creating new security risks as sensitive data moves into public models, unverified AI tools enter production, and autonomous agents gain access to enterprise systems. In fact, today’s AI governance challenges mirror the shadow IT and SaaS security issues organizations faced in earlier technology waves.