MLOps

Ensure continuous improvement and reliability of your machine learning models with comprehensive MLOps practices.

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See how we apply this technology in the real world

Cases

Faktion digitised Sprimoglass’s workforce planning, cutting admin by 10–15% and boosting control.

Sprimoglass: Automating Workforce Management and Payroll with Chroligo, an All-in-One HR Solution

Automating Product Classification & Data Quality Control for SmartWithFood (Colruyt Group)

SmartWithFood: Automating Product Classification & Data Quality Control

AI-driven Intelligent Document Processing SaaS Platform with Metamaze

Metamaze, A Faktion Spin-Off: Intelligent Document Processing SaaS Platform

Implementing Churn Prediction at Scale for a Large Belgian Bank

Getting 90% Churn Prediction in Banking within a New MLOps Environment

Atlas Copco Airtec Factory

Atlas Copco Airtec: Defect Detection in Rotor Manufacturing with Computer Vision

International Food

Automating Sales Data Matching and Consolidation for International FMCG

Blog posts

Prompt Flow in Azure ML - Part 3: Incorporating Automatic Prompt Engineering

Prompt Flow in Azure ML - Part 3: Incorporating Automatic Prompt Engineering

October 24, 2023

Prompt Flow in Azure ML - Part 2: A streamlined way to build LLM-based AI applications with RAG

Prompt Flow in Azure ML - Part 2: A Streamlined Way to Build LLM-based AI Applications with RAG

September 30, 2023

Prompt Flow in Azure ML - Part 1: Industry-grade prompt management

Prompt Flow in Azure ML - Part 1: Industry-grade prompt management

September 19, 2023

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