Machine learning platform
Get the most out of your data
Enhance your business results and forecasts
Data is the fuel for innovation
Machine learning holds immense potential like no other analytical method. As a sub-discipline of AI, it enables you to extract valuable insights and knowledge from both existing and new data. Enhance future predictions and actionable recommendations by developing your own machine learning models, leveraging individual or pre-existing algorithms, all on the IONOS Cloud.
For example, offer your customers a significantly improved user experience with purchase suggestions and customised information.
Learn processes, recognise patterns, put analyses into practice
Machine learning employs data analysis using models designed by data scientists. Through continuous exposure to training data, the system "learns" patterns within the data, guided by predefined algorithms.
Apply these machine learning models to specific tasks, enabling the extraction of valuable insights, predictions, and recommendations from extensive datasets.
Development and training phases as a dynamic process
In the machine learning lifecycle, two distinct phases exist: development and training, and inference or operational.
During the development and training phase, the data scientist builds the machine learning model using training data. Numerous tests and algorithm refinements are performed to ensure its accuracy. In the subsequent inference phase, machine learning engineers convert the model into a pipeline for specific tasks.
Various cloud products and open source tools are used to develop and deploy the pipeline:
- IONOS Cloud Object Storage
- Databases
- Specialised processing engines (Big Data)
- DEV environments and frameworks
Power your projects with machine learning cloud services
High-performance, scalable resources
Cost-effective storage solutions
Ready-to-use databases
Everything you need for success with ML
Tailored support at every stage
IONOS Cloud works with cloud native partners to provide tailored support throughout your machine learning project's entire lifecycle. From strategy, analysis, conception, and implementation to ongoing operations and further development of your unique solution.
Proven reference architectures for your big data project
Experienced IONOS Cloud partners such as b.telligent & codecentric implement big data and ML solutions for a wide range of use cases such as data engineering, data science or business intelligence. Their approach is built upon proven reference architectures, utilising cloud-native and cloud managed services whenever suitable.
Complete sovereignty over your data
If you’re using a European private or public cloud or Managed Kubernetes service from IONOS Cloud, you’ll benefit from open standards. These guarantee you full data and platform sovereignty and complies with all legal requirements.
Your data is stored in cost-efficient IONOS Cloud Object Storage. The data platform is provided by our technology partner Stackable, and enables maximum service setup flexibility.
Machine learning use cases
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Use case
Offer and product recommendations
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Fraud and misuse recognition
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Prevent customer churn
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