SAS Visual Data Mining & Machine Learning - Modern AI and analytics solution

What is SAS Visual Data Mining & Machine Learning?

SAS Visual Data Mining & Machine Learning (VDMML) is an integrated, scalable application for advanced analytics, machine learning (ML) and artificial intelligence (AI). It is part of the SAS Viya suite and enables it companies, complex data models to create, to train, to validate and productively implement - both with automated and as well as with user-defined algorithms.

Key features and core aspects of SAS Visual Data Mining & Machine Learning

Automated machine learning: Support for automatic model creation, feature engineering and hyperparameter optimization.
Interactive modeling: Graphical user interface for exploratory data analysis, model building and visualization of results.
Broad spectrum of algorithms: Includes traditional statistical models, modern ML methods such as gradient boosting, random forests, neural networks and deep learning.
Scalability: In-memory processing and distributed architecture for large amounts of data in cloud or on-premises environments.
Programming support: Integration of programming languages such as Python, R, Lua and SAS code for flexible extensions.
Model management: Tools for model versioning, monitoring, governance and deployment.
Integration: Seamless connection to other SAS Viya components as well as data sources and IT systems.
Real-time applications: Support real-time scoring and predictions for operational systems.

Technical basics

SAS VDMML based on a distributed, scalable in-memoryarchitecture within the SAS Viyaplatform. The platform utilizes modern containertechnologies and Kubernetes for flexible resource management in cloudenvironments. The processing of large data volumes takes place parallelizedin order to high performance to ensure high.

Advantages and benefits

Accelerated development of AI models through automation
Simple operation even for users without in-depth programming knowledge
Large selection of algorithms for a wide range of applications
High scalability for big data and complex analyses
Integration into existing IT infrastructures and analytics processes
Supporting transparency and compliance through model management

Practical example

An energy supplier uses SAS VDMML for forecasting of maintenance requirements for systems. Through automated machine learning are anomalies early recognizedwhich downtime reduces and saves costs.

Security & Compliance

The platform offers extensive security functions such as access control, encryption and audit trails. This supports it the compliance legal regulations such as DSGVO and industry-specific standards.

Conclusion

SAS Visual Data Mining & Machine Learning is a powerful solution for companies that want to use AI and machine learning effectively. The combination of automation, flexibility and scalability makes it an important tool for data-driven innovation.

Would you like to find out more about SAS Visual Data Mining & Machine Learning or would you like advice on implementation? Please contact us for a non-binding discussion!

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SAS Visual Data Mining & Machine Learning (ML)