In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We ...

Sriharsha Daram’s work in enterprise software architecture demonstrates how careful system design improves performance and reliability. While contributing to Toyota’s OneApp, a vehicle management ...

Modular and open test architectures enable engineers to build the right solution for each challenge, whether integrating ...

Have you ever felt overwhelmed by the sheer complexity of building AI systems? With so many tools, frameworks, and design philosophies out there, it’s easy to get lost in the noise. But what if the ...

In today’s rapidly evolving business landscape, scalability has become a defining feature of technological progress. Scalability is characterised as a system’s ability to handle growing demands or ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

Event-driven architectures often break under pressure due to retries, backpressure, and startup latency, especially during load spikes. Latency isn’t always the problem; resilience depends on ...

In the realm of industrial automation, software deployment across varied systems is a significant challenge due to differences in operating systems, necessary libraries, runtime environments and ...