Apr 
1, 
2022

Keeping an Eye on AI

<div style="text-align: justify;">Your machine learning model is trained and finally running in production. But that was the easy part. Now, the real challenge is reliably running your machine learning system in production. For this, monitoring systems are essential. But while monitoring machine learning models, you must consider some challenges that...
May 
26, 
2021

Tools & Processes for MLOps

<div style="text-align: justify;">Training a machine learning model is getting easier. But building and training the model is also the easy part. The real challenge is getting a machine learning system into production and running it reliably. In the field of software development, we have gained a significant insight in this...
Apr 
14, 
2020

Continuous Delivery for Machine Learning

In modern software development, we’ve grown to expect that new software features and enhancements will simply appear incrementally, on any given day. This applies to consumer applications such as mobile, web, and desktop apps, as well as modern enterprise software. We’re no longer tolerant of big, disruptive software deployments. ThoughtWorks...

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Behind the Tracks

AI Agents & Agentic Workflows
Build reliable AI agents and autonomous workflows for enterprise production

MLOps & Open Source LLMs
Deploy, and operate AI models securely—from fine-tuning to production monitoring

Multimodal AI
Build AI systems that process images, audio, and video—beyond language models

AI Strategy, Organization & Governance
Scale AI responsibly—align regulation, human accountability, and organizational readiness

Advanced RAG
Master retrieval-augmented generation—from vector search to production-grade knowledge systems