A machine learning system goes far beyond just training a model. Real-world ML requires scalable infrastructure, robust data pipelines, and thoughtful system design.

A well-rounded architect ideally demonstrates a capacity to engage effectively across all these valuing modes… This nuanced understanding of value processing, as outlined by Hartman's formal axiology, ...

Your Kubernetes setup looks perfect—until it fails at 2 AM. Chaos Engineering helps you uncover weaknesses before your users do.

Who’s responsible for your data? Clear roles and accountability are the backbone of a successful data governance program. Here’s how to get them right.

Written from the large enterprise perspective and personal decades of experience, this manifesto provides basic guidance on implementing agent technology. The hypothesis is that agents will emerge in ...

Data personas are fictional, data-driven profiles that reflect real user behaviors, needs, and pain points. This piece explores practical examples and how you can apply personas to create more ...

We don’t suffer from a shortage of data — we suffer from a shortage of shared meaning. Without context, effort turns into misalignment, and potential value is lost.

This blog provides a structured approach to designing an enterprise-scale landing zone in the cloud. It explores key concepts, design patterns, and security best practices to ensure scalability, ...

In recent times, generative AI has transformed the digital landscape, enabling systems to create art, music, and insightful text on demand. However, the conversation is rapidly shifting toward ...

DCAM provides a structured approach to data management, aligning governance practices with business objectives. Its emphasis on quality, compliance, and risk management makes it a vital framework for ...

Selecting the right Cosmos DB connectivity mode is key to security and performance. This blog covers integration challenges with a Spring Boot microservice and the best resolution approach.

The Architecture Review Board (ARB) ensures that IT changes align with architectural principles, balancing governance with agility. When structured well, it acts as a facilitator rather than a ...