Blog Articles Overview

Blog posts

Recent use cases

Smart Manufacturing & Maintenance

Utilizing machine learning for parameter optimization

Glanzstoff, a global yarn manufacturer, collaborated with Resultance to improve operational efficiency by reducing fiber fractures by 33% and optimizing flushing operations through data analysis and modeling.

Smart Manufacturing & Maintenance

Computer vision based quality inspection of brick slips

Manufacturing brick slips is a highly intricate process, with even a 1mm variance holding significant quality implications, and Wienerberger’s quest for precision and efficiency in the face of evolving industry demands.

Intelligent Data Quality Optimization

Automating sales data matching and consolidation with IDQO

An international food brand turned to Faktion for automating their data consolidation challenges involving product and customer data matching in sales data received from tier-1 wholesalers.

Intelligent Data Quality Optimization

Streamlined c-class item sourcing

GIS International, specializing in sourcing challenging C-class items for businesses, sought to enhance their services and scalability. They chose Faktion’s IDQO solution to automate manual data quality tasks and optimize data quality.

Intelligent Data Quality Optimization

Automated ETIM classification

Cebeo, a Belgian electronics distributor under the Sonepar group, partnered with Faktion to enhance data quality for reporting, product management, and commerce. This collaboration resulted in an AI system for automated ETIM search and classification.

Intelligent Data Quality Optimization

Automating product classification and data quality control

SmartWithFood (SWF) partnered with Faktion to automate product classification using the ‘IDQO’ approach, reducing onboarding times for new food retailers from 2 months to under a week.

Smart Manufacturing & Maintenance

Optimizing energy consumption

Faktion helped ‘Applying AI’ on the data that was gathered at one of Wienerberger’s manufacturing facilities, allowing them to better understand and optimize the high energy consumption of their production processes.

Exploring the AI landscape

MyT Learning & MySpeech

An AI language assistant that provides live subtitles for classroom lessons in Dutch, offering support to teachers for more effective language learning goals.

Reminiscing about the early days of chatbots, Chatlayer and this new era of GPT technology

In a serendipitous reunion, we catch up with Pieter, former CTO of Chatlayer, now collaborating with his venture Transfo.energy. We explore Pieter’s insights on chatbots, AI’s transformative influence, and his journey from skepticism to revolutionizing Chatlayer in 2019.

Why data has become a strategic asset for your business

Modern AI systems (particularly deep learning) are trained using huge datasets to solve complex tasks. Undertaking an AI project requires data, but not always as much as assumed…

Smart energy management, the answer to sustainable energy consumption

From image recognition to smart quality control, Machine Learning already helps us on many occasions. From assisting us in our everyday lives to helping us tackle the world’s most challenging problems – such as energy consumption.

Machine learning models in an ever-changing world

Discover how MLOps can automate and enhance your machine learning workflow, improve efficiency, scalability, and decision-making, and learn about Faktion’s successful implementation of MLOps in real-world scenarios.

How to deploy sensor data in chemical manufacturing

Discover how AI and ML can revolutionize the chemical industry in this blog post. We explore smart energy management, predictive asset maintenance, process control, and production simulation, all leading to increased efficiency, cost savings, and enhanced quality.

4 ML use cases which show that predictive maintenance is definitely here to stay

Discover predictive maintenance’s impact on manufacturing and transportation: component failure prediction, anomaly detection, maintenance prioritization, and asset efficiency optimization, leading to enhanced efficiency.

Knowledge Sharing

Prompt Flow in Azure ML: exploring new features

The prompt management landscape has expanded to include Azure, featuring a suite of new additions to Azure ML. Here’s a threepart blog series for those aiming to enhance their work with professional-grade tools.

Ben Burtenshaw

NLP Engineer

Crafting JSON outputs for controlled text generation

This blog delves into generating structured JSON outputs from LLMs, addressing the challenge of obtaining reliable and organized data from their outputs, while considering recent developments in the field.

Arian Pasquali

NLP Engineer

High fidelity synthetic images using GAN: Generative Adversarial Networks

GANs are pioneers in crafting lifelike synthetic images, with promising applications in computer vision, particularly in anomaly detection. Join us in delving into this intriguing realm!

Maarten Fish

ML Engineer

Timeseries anomaly detection without anomalies

Let’s explore the challenge of anomaly detection in industrial data, where normal data often greatly outnumbers abnormal data. We guide you through time series anomaly detection, even when anomalous data is scarce or absent.