Sustainable software testing minimises environmental impact, optimises resources and enhances software quality through green practices, risk based testing and automation. Boby Jose explains and ...

Nilesh is a Senior Manager in Sogeti India, Microsoft Practice. He serves as SharePoint Architect. He has helped clients to digitize their workplace and has participated in Discovery analysis, ...

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

Script failures aren’t setbacks — they’re signals. When embraced, they lead to stronger automation and better software quality. As we all know, test automation is changing fast. While we are caught up ...

A truly data-driven culture isn't built on data alone—it relies on trust, responsibility, and clarity. In this article, we explore how embedding strong data governance practices lays the foundation ...

Climate data is everywhere — but it’s action, not analytics, that drives change. This blog makes the case for hacking, sprinting, and prototyping our way toward real, scalable climate solutions.

In a microservices world, where services talk via APIs, robust API testing becomes essential to ensure reliability, scalability, and security. From contract validation to load handling and CI/CD ...

Employee satisfaction surveys are crucial tools for assessing the well-being and engagement of a company’s employees. However, in large organizations, analyzing surveys is time-consuming, costly, and ...

Akbar is a Senior Automation Architect at Sogeti, driving innovation through open-source automation frameworks and GenAI-led test strategies. He has led multiple PoCs, crafted scalable automation ...

Aniruddh is a TOGAF-certified GenAI and Data Automation Architect with 14+ years of experience delivering AI-led solutions across industries. He specializes in solution architecture, automation, and ...

But this model only thrives in organizations that are structurally and culturally prepared. Teams need clarity, guardrails, and permission to experiment. Leaders need to sponsor adoption through ...

How do you know if your data governance efforts are actually working? This week’s deep dive is all about measuring success – with practical metrics you can start using today!