Blog

Learn how Amanox helped Galliker migrate its .NET applications to run on Red Hat OpenShift.

In our last post, we explored training a forecasting model with SageMaker. Now, we’ll complete the journey by detailing how to monitor its performance and automate retraining, ensuring consistent and reliable predictions.

In the previous blog post we introduced the architecture and demo of a near real time data ingestion pipeline into Amazon SageMaker Feature Store. In this post and the following one, we will present the fully automated MLOps pipeline.

Discover how Axians Amanox implemented economist Dr Christian Mueller’s idea in record time: a ground-breaking tool that uses generative AI to create exams in a university environment. Read the full case and find out more about the innovative solutions.

This success story shows how Axians Amanox and BOAS Networks have brought a fully functional BETA version of a new type of web application to market maturity, in record time,

The cloud migration of applications that play a key role in the ongoing operations of Swiss Federal Railways requires the most careful planning and prudence. Find out how we at Axians Amanox were able to support the seamless transition.

This blog post is the first part of a 3 parts series about testing a fully automated MLOps pipeline for machine learning prediction on near real time timeseries data in AWS. In this first part we focus on the data ingestion pipeline into Amazon SageMaker Feature Store.

Wouldn’t it be nice to decouple application configuration from infrastructure configuration and code? This is where AWS AppConfig (a component of AWS Systems Manager) can help

The Swiss insurance company Smile Insurances is moving its applications to the AWS Cloud. This case study shows the challenges and the implemented solution for the customer facing applications in Switzerland.

What does the business idea of a hotel have in common with the platform approach in the cloud native world? And how can you meet your customers’ requirements? Learn more about it in this blog post.

Born and raised in Sarajevo, his journey takes him via Vienna and Bern to Zurich – always looking for the next challenge, always on the move.

How can you transfer constantly changing data from a database into a data lake based on immutable storage like Amazon S3? An article by Matthieu Lienart

His energy is unique. Marc always has a smile on his face and is a real salesman, with a huge heart for his customers. And he is also passionate about cooking.

Do Lambda functions, supported by Graviton2, offer up to 19% more performance at 20% lower cost? A comparison by Matthieu Lienart

Andreas sees his main task in inspiring customers with Amanox’s practical solution approaches, giving them a realistic “cloud journey” with simple and highly scalable products, and turning the existing challenges into opportunities.

This webcast uses the Pacman game as an example to show what reinforcement learning is, how it works, which use cases can be derived from this technology and which services on Amazon Web Services can be used for implementation.

She is always on the move and she also keeps everyone else on their toes! Sonja is a whirlwind who is always there when you don’t know what to do. Find out what else is important to her and why her role at Amanox plays such a big part.

What if an internal portal could cut part of costs for document translation by using machine translation services for some type of documents, and reduce the cost of others by using a combination of machine translation and human review?

A disaster has hit your data center. Now all your important data is gone because the system crashed. With a disaster recovery plan for your data center, this wouldn’t have happened. How exactly does data replication work? Learn more in our latest blog.

The pandemic has increased the demand for remote working and home office. In this video we show the advantages of a SaaS (Software-as-a-Service) solution with which a complete home office infrastructure can be set up fast and secure within a few days.