Machine Learning
The Heart of Intelligent Automation
Machine Leaning (ML) enables systems to learn from past data and adapt to new data. Machine Learning is used in many different use cases, mostly with respect to automation tasks and intelligent decision support.
How we help clients
ML forecast design
- We guide you through possibilities within forecasting via Machine Learning
- Learn from experienced data scientists and get to know best practices
- Process, IT constraints and predictive model jointly covered
Rapid prototyping
- Supporting rapid prototyping for ML models
- Proof-of-value and identification of friction points in prototype
- Application integration and technology selection
Enterprise integration
- Define your Machine Learning strategy across enterprise data assets
- Supporting enterprise-wide ML implementation
- ML application execution support
Featured Insights
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Why Camelot
Camelot ITLab guides you to understand and communicate the value of Machine Learning to business application, tailored to your current historic data and its integration to your enterprise IT. Our experienced data scientists with strong value chain domain understanding will support you in this effort.
Machine Learning
Enable data-driven innovation and intelligent processes with cloud-based data orchestration and ML services.
Further Services and Solutions
SAP Data Intelligence
SAP Data Intelligence is designed to develop and maintain data pipelines across systems and the data lifecycle, so you can transform your business into an intelligent enterprise.
Process Mining
Utilize the full transparency provided through process mining to get data driven insights in your finance, procurement, order to cash, production, logistics, supply chain or IT processes.
SAP Analytics Cloud
SAP Analytics Cloud is an extremely easy-to-use cloud reporting tool that covers all analytical use cases. Benefit from our experience in cloud-driven report creation, either self-service or IT-based.
Request a Demo
Interested in learning more? Our experts are happy to provide you with further insights about the value, functionalities and UX of our apps and solutions.
Contact
Andreas Staudenecker
Head of Intelligent Data ManagementLeader of the data intelligence area supporting complex projects end to end. He has a strong focus on enabling customers to exploit their full potential in data.
