Unlock the Power of AI and Machine Learning with Mainframe Data
New from VirtualZ™, our Artificial Intelligence and Machine Learning Data Access solution is here to empower businesses by providing seamless, real-time access to their mainframe data. Now, valuable datasets can effortlessly feed into advanced AI and machine learning models for training, analytics, and predictive insights.
By using our innovative software — Lozen™ and PropelZ™ — businesses can modernize their data access strategy. This integration allows for secure connections to cloud-based or on-premises AI environments, eliminating the complexities and high costs typically associated with traditional ETL processes. As a result, AI models are built on accurate and timely data, enhancing their effectiveness.
Why Choose VirtualZ for AI and Machine Learning Data Access?
- Real-Time Access to Mainframe Data: Lozen offers real-time, read-write access to mainframe data, enabling organizations to utilize their most current datasets for training AI models and generating analytics without delays. This immediacy ensures that insights are based on the latest information.
- Seamless Data Migration with PropelZ: PropelZ facilitates the effortless extraction and movement of mainframe data to cloud-based environments. This ensures that AI models are built on the freshest and most relevant datasets available, leading to higher accuracy and improved learning outcomes.
- Streamlined Data Integration: With VirtualZ’s solution, integrating mainframe data directly into AI and machine learning frameworks becomes a hassle-free experience. By eliminating the manual processes traditionally required for data access, organizations save valuable time and reduce resource expenditure.
- No-Code, Out-of-the-Box Solution: Lozen and PropelZ come with powerful out-of-the-box functionality, requiring no coding skills. Organizations can immediately start accessing their mainframe data and feeding it into AI applications without the need for custom development.
- Flexible Data Formats and Transformations: VirtualZ’s solution provides robust 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 minimizing reliance on expensive ETL tools and manual data migration processes, organizations can significantly reduce 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. This reduces risks associated with data breaches or compliance failures, providing peace of mind.
Benefits to Customers
- Immediate Data Access: Real-time, read-write access to mainframe data ensures immediate insights and faster AI model training without duplication or migration delays.
- Cost Efficiency: Reduce integration costs by using no-code software, eliminating the need for costly 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 needing additional hardware or complex infrastructure adjustments.
- Secure Data Access: Ensure secure and compliant integration by leveraging robust mainframe security protocols, allowing safe transmission and access of data into modern AI applications.
Conclusion
With Lozen and PropelZ, organizations gain a scalable and cost-efficient solution for integrating mainframe data into AI and machine learning applications.
This capability unlocks real-time insights and enables data-driven decisions, accelerating innovation while maintaining the security and reliability of mainframe infrastructure.
