Years of working with large-scale distributed systems have reinforced a lesson that only becomes clearer with time: ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

The grid can't keep up using traditional modernization tactics. Standardized distributed infrastructure planned with ...

Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

Intelligent testing helps identify: By embedding testing into the system itself, you move from reactive validation to ...

For nearly a century, electric utility business models have been shaped by a simple premise: build infrastructure, earn a regulated return on equity, and grow the rate base. This framework helped ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

Planning and operating a power system requires detailed grid studies to guide investment decisions and prepare for how the system may evolve over time. Long-term planning can identify the policy, ...