Agentic AI and MCP are redefining test automation by enabling autonomous, adaptive agents that plan, execute, and update tests in real time. This convergence marks a paradigm shift towards intelligent ...

Readiness, risk, responsibility-it’s time to ask the questions needed to unlock the full power of Gen AI for your data.

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

Enterprise AI agents are coming—but without orchestration and governance, chaos will follow. This framework offers clear guidance to deploy agents safely, strategically, and at scale.

This blog will take you through the phenomenon of app metamorphose. It will cover areas like how an application is developed and consumed. Plus, the discussion will briefly highlight the potential ...

We recently published a blog, the first of a six-part series, about the importance and necessity of having a solid MLOps implementation. There, we introduced the diagram seen in Figure 1. It is a ...

As an enterprise architect, our responsibility is to support decision-making. Using the organisation strategy to create an IT strategy. However, a much-heard issue is the lack of an organisation ...

In this blog I’m going to explain how to monitor your IoT or other devices without having to open up ports, install agents or require access to your network. We will rely on Node-RED, Azure LogicApps ...

TypeScript is becoming extremely popular language. Here are some arguments of why you should start using TypeScript on your project: TypeScript is not just for large scale projects: TypeScript is ...

In Agile environments, redefined Centers of Expertise in Quality Engineering (QE) integrate quality engineers into teams, ensuring high QA standards through resource management, standards, expert ...

Take a look at the three categories of requirements with nine groups of principles that are related to the business, application and infrastructure goals or strategies.

Implementing automated tools and scripts to monitor, analyze, and adjust budgets in real-time is a key aspect of effective FinOps practices.