Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

One CDIO and board member’s blueprint for enterprise intelligence with responsible AI implementation in the consumer goods, ...

Data is the new oil, and data engineers are its key refiners. With the explosion of big data, GCCs are investing heavily in ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

This piece explores how we moved from a single-region monolithic system to a distributed, multi-region microservices ...

AI can crank out code, but your best developers turn it into something that actually works. The future belongs to human-AI ...

The landscape of modern software engineering demands a unique blend of technical versatility, performance optimization expertise, and architectural vision. As organizations increasingly rely on ...

G’s cloud-native core is redefining network architecture and AI-driven, programmable systems are transforming connectivity.

One of Mahesh's most notable contributions was the migration of existing monolithic components into containerised ...

Modern software projects rarely fit neatly into a single framework or programming language. From distributed microservices to event-driven systems, today’s tech environment demands engineers who can ...

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