The Studio 3T blog
AI for DevOps: Why organizations must rethink roles, not just automate tasks
AI is transforming how software is built, tested, and deployed. In this DBTA webinar recap, we cover the key takeaways from our CEO Peter Caron and other industry experts on how AI is reshaping engineering roles, workflows, and data reliability in modern DevOps environments.
09/03/2026 • • 3 minutes
Why engineering leaders must fix data readiness before scaling AI
Scaling AI successfully depends on more than powerful models. Without strong data readiness for AI, engineering teams struggle with inconsistent data, hidden schema issues, and unreliable pipelines. Before organizations invest further in AI development, leaders must ensure their data is accessible, structured, and trustworthy enough to support it.
05/03/2026 • • 4 minutes
8 steps to master query prototyping in MongoDB
Poorly designed MongoDB queries can quietly become costly performance bottlenecks as data grows. In this guide, Anumadu Moses shares eight practical, repeatable steps to help you prototype queries incrementally, validate assumptions against real data, analyse execution plans early, and design indexes that support real world workloads. The result is more reliable, scalable, and production ready MongoDB queries.
16/02/2026 • • 5 minutes
5 data analysis trends you need to know for 2026
In 2026, the biggest competitive advantage won’t come from automation alone, but from data analysts who can interpret outputs, apply business context, ensure governance, and turn insights into action. Explore the top data analysis trends for 2026 and why human–AI collaboration, not replacement, has a big part to play.
20/11/2025 • • 4 minutes
Studio 3T’s Aggregation Editor feature is the most powerful tool I’ve come across for building aggregations, and we have some highly complex aggregations!
Josh Blair, Lead Development Engineer, Kanso Software
