MLOps Consulting & Services
The development of ML-models is already complex - the operation of software and products based on Machine Learning provides teams and organisations with the but with new kinds of challenges. With practical experience from numerous projects, [at] is your Partner for the successful productive use of Machine Learning. Our MLOps consulting is independent and always thinks Machine Learning (ML) together with operational deployment, that's our equation: ML + Operations = MLOps.
MLOps consulting for your company
Have you already developed or planned products based on machine learning? Then you should definitely ensure that the models used and their infrastructure also function in the long term. Because it is often underestimated how much effort goes into the mere development of ML models and data processing. The work on an ML product does not end after the model and the necessary data and interfaces have been made available. The biggest challenges still await: enormous manual effort, high cloud costs as well as questions and uncertainties in the area of compliance - keywords: DSGVO or the upcoming AI Act of the EU.
The use of MLOps offers the following advantages:
- NAutomation of ML development processes so that the team can concentrate on the essentials
- NProvision of a powerful infrastructure to enable scaling
- NReducing the cloud bill through more efficient use of computing capacity
- NMonitoring of data and ML models to ensure the best possible product quality
- NCreation of transparent technical processes to guarantee adherence to GDPR and compliance measures
Our MLOps solutions
MLOps Workshop and Training
Workshops, trainings and seminars, for developers, data experts, product managers and decision makers. We teach relevant MLOps methods and technologies according to the requirements of different stakeholders. Whether a compact introduction or a technical deep dive - we have the right content ready.
MLOps Maturity Assessment
Analysis of the maturity level of your ML infrastructure with scientifically based maturity assessment. Together we determine the state of your ML landscape and develop a concrete strategy to automate and scale processes.
Implementation of MLOps platforms
Introduction of a customised ML platform solution in the cloud or on-premise. You do not yet have an MLOps solution? We implement it and accompany you up to the start and - if desired - beyond. This ranges from the automation of initial ML processes to a fully automated environment for ML training, monitoring and integration into your products.
Optimisation of existing MLOps products
You are already working with MLOps tools? Then we optimise your existing ML products. We analyse which tools really help you, such as model tracking, model serving and monitoring, and implement these improvements.
The MLOps solution implemented by [at] has enabled us to automate ML training and development for the VR7 robot to the greatest possible extent.
Your experts
Mihail Vieru
Head of MLOps | Alexander Thamm GmbH
Kai Sahling
MLOps Engineer | Alexander Thamm GmbH
Gerhard Häring
MLOps Engineer | Alexander Thamm GmbH
Customer references
Machine Learning Platform
for a pharmaceutical company
MLOps Architecture
for a media group
Workshop
for a transport and logistics company
Maturity analysis
for a chemical company
Our methodology: the [at] Data Journey
Today, much of the business value is based on the analysis of data. The crucial question is how do we generate value from data to turn problems into concrete solutions?
With the Data Journey we have developed a holistic system for Data & AI projects, with which we can determine the starting position and Taking a holistic view of our customers' problemsin order to be able to offer them the best possible advice and the best possible solutions:
From comprehensive consulting and development of a data strategy, through proof of concept and prototypes, to the finished product and subsequent continuous maintenance and optimisation.
Further services
Data Science Consulting
Predictive Maintenance
Data Science Workshops
Data Science Academy
Keynote speaker
Generative AI Workshops
Resources
Informative blog content, inspiring webinars, entertaining videos and engaging podcasts: valuable subject content for further in-depth study.
Why MLOps?
The 5 challenges of ML product development
MLOps in practice
Structure, scaling and operationalisation
From zero to running ChatGPT
MLOps for building modern machine learning products