Machine learning platform
Maximize the potential 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.
Example: Offer your customers a significantly improved user experience with purchase suggestions and customized information.
Learn processes, recognize 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.
Experience development and training 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.
For developing and deploying the pipeline, a range of cloud products and open source tools are utilized:
- IONOS Cloud Object Storage
- Databases
- Specialized 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
Step by step to success
The Cloud offered by IONOS Cloud works with Cloud Native Partners, offering 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 like b.telligent & codecentric specialize in implementing big data and ML solutions across various use cases, including data engineering, data science, and business intelligence. Their approach is built upon proven reference architectures, utilizing Cloud-native and cloud managed services whenever suitable.
Complete sovereignty over your data
Using IONOS Cloud private or public cloud or Managed Kubernetes service ensures adherence to European open standards. You'll gain full data and platform sovereignty, meeting all legal requirements.
Your data is cost efficiently stored in IONOS Cloud Object Storage, provided by our technology partner Stackable, offering maximum service setup flexibility.
Possible machine learning use cases
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Use case
Offer and product recommendations
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Use case
Fraud and misuse recognition
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Use case
Prevent customer churn
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