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A machine learning system goes far beyond just training a model. Real-world ML requires scalable infrastructure, robust data pipelines, and thoughtful system design.
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!
The code we write isn’t invisible — it draws power, consumes compute, and leaves a carbon trail. Writing greener code means building smarter, leaner software that helps reduce environmental impact ...
At Sogeti, we believe in delivering business value through innovation and technology. In partnership with Microsoft, we are helping organizations reimagine what’s possible in the digital age. This ...
Despite being core to quality engineering, test design techniques are still underused in practice. Here's how we can shift them from theory to daily habit — through culture, process, and leadership.
As data flows across borders, compliance grows increasingly complex. A strong data governance framework is no longer a luxury—it's a necessity.
Let’s talk about green hushing. The silent sibling of greenwashing. You’ve probably seen it already, maybe without realizing. Companies doing cool, eco-friendly stuff… but barely mentioning it. No ...
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, ...
AI has escaped the confines of labs and is now embedded in our daily lives, raising both promises and perils. As society embraces it, the question isn’t just about innovation—it’s about impact.