The mainframe remains a robust and reliable platform for companies that require high performance and security. The IBM z16 is the first generation of IBM mainframes with artificial intelligence (AI) integrated directly into the chip, powered by the Telum processor, enabling new levels of efficiency and insight generation.
Effective Ways to Leverage This Innovation:
Telum Processor:
Designed to support real-time AI workloads without the need for additional components. Leverage specialized infrastructure, such as zIIPs, to run machine learning operations while reducing the impact on core processors.
AI Inference:
Capable of processing machine learning models directly on the mainframe, making it highly efficient for instant fraud detection, risk analysis, and process optimization.
High Performance:
With up to 40 TB of memory and support for trillions of daily transactions, this technology enables the implementation of advanced algorithms to identify patterns in massive data sets. As a result, complex tasks can be automated, eliminating the need for manual intervention.
Advanced Security:
Includes quantum-resistant encryption and acceleration for Z Operational Log and Data Analytics (ZOLDA), safeguarding sensitive information against emerging cyber threats.
Modernization with APIs:
Enables the creation of interfaces to seamlessly integrate legacy systems with new AI solutions, ensuring that models are continuously improved and efficiently managed.
Use Cases:
✔ Real-Time Fraud Detection: AI-powered transaction monitoring that identifies suspicious patterns with greater accuracy.
✔ Supply Chain Optimization: Financial and industrial companies can predict future demand, adjust inventory levels, and enhance distribution logistics.
✔ Banking Risk Management: Algorithms assess customer creditworthiness, calculate default probabilities, and analyze risks associated with loans.
✔ System Log Monitoring: Analyzes large volumes of operational logs to detect anomalies and predict failures, enabling proactive actions.
Leveraging native AI capabilities in the mainframe can drive significant advancements in operational efficiency and innovation. Organizations should carefully assess their needs and adopt strategies that maximize the return on investment in existing systems while integrating cutting-edge technologies.