Artificial Intelligence and Machine Learning

Simplify access to mainframe data for AI model training and analytics.

Real-Time Access to Mainframe Data

Lozen provides real-time, read-write access to mainframe data, allowing organizations to utilize their most current datasets for training AI models and generating analytics without the delays of data replication.

Seamless Data Migration with PropelZ

PropelZ facilitates the effortless extraction and movement of mainframe data to cloud-based environments, ensuring that AI models are built on the freshest and most relevant datasets available for high accuracy and improved learning outcomes.

Streamlined Data Integration

By integrating mainframe data directly into AI and machine learning frameworks, businesses eliminate the manual processes traditionally required to access this data, saving valuable time and reducing resource expenditure.

No-Code, Out-of-the-Box Solution

Both Lozen and PropelZ offer out-of-the-box functionality with no coding required, enabling organizations to start accessing their mainframe data immediately and feed it into AI applications without custom development.

Flexible Data Formats and Transformations

The solution provides powerful data transformation capabilities, allowing organizations to convert VSAM/QSAM and other mainframe data formats into modern structures compatible with various AI and machine learning platforms.

Cost-Efficient Data Strategy

By reducing reliance on costly ETL tools and manual data migration processes, organizations can significantly lower their operational costs while maintaining seamless access to mainframe data for AI applications.

Enhanced Security and Compliance

VirtualZ’s solution leverages existing mainframe security protocols, ensuring all data access and AI practices comply with industry standards, reducing risks related to data breaches or compliance failures.

Ready to unlock the full potential of your AI and machine learning models with real-time access to mainframe data?

Instant Data Access

Real-time, read-write access to mainframe data ensures immediate insights and faster AI model training without the need for data duplication or migration delays.

Cost Efficiency

Reduce integration costs by using no-code software, eliminating the need for expensive ETL tools, and lowering operational overhead.

Seamless AI Integration

Easily feed mainframe data into AI and machine learning frameworks, enabling quicker deployment and minimizing development efforts.

Scalability and Flexibility

Effortlessly scale data access to meet growing AI model requirements without requiring additional hardware or complex infrastructure adjustments.

Secure Data Access

Ensure secure and compliant integration by leveraging the mainframe’s robust security protocols, allowing safe transmission and access of data into modern AI applications.