The business potential of AI/ML is growing daily – especially as the technology moves beyond prediction and analysis towards true, autonomous decision-making, unlocking unprecedented levels of insights, knowledge, and innovation.
From retail to energy, from utilities to manufacturing, AI/ML initiatives fulfil a variety of use cases that have different requirements and needs. While sometimes getting started is the most difficult part, many enterprises report challenges when it comes to project complexity.
So, let’s join forces and see how we can ship your machine-learning models to production!
Canonical offers five types of MLOps advisory services that are designed to help you benefit from your AI/ML initiatives:
- Data exploration workshop
- Kubeflow training
- MLOps workshop
- Outcome-based PoC
- End-to-end consulting
By collaborating with our experts, you will be able to improve your data collection process, design your MLOps architectures. Download the datasheet today and find out how you can accelerate your AI/ML journey with Canonical.