For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

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 ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

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Claudio Saes is a partner and telecom practice leader at Bell Labs Consulting, a group of the award-winning Nokia Bell Labs. Since the dawn of time, our ancestors leveraged distributing strategies to ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...