Learn how AI enhances usability, improves operational performance and maintains the health of IBM® Db2® systems.
IBM® Db2® AI for IBM z/OS® uses machine learning and AI to help improve the operational performance and maintain the health of Db2 systems. It's built on the services provided by IBM Watson® Machine Learning for z/OS and designed to optimize SQL performance.
Version 1.5 provides unique operational insights and deeper drill down into Db2 system health.
Db2 AI for z/OS helps organizations infuse AI throughout operations, transactions and applications for improved efficiency and better business outcomes.
Realize up to 25 percent CPU savings through optimization for best query access paths using machine learning technology.
Run Db2 for z/OS applications faster and more efficiently and therefore use less MIPs.
Learn patterns from collected data specific to the data and application behavior per subsystem without requiring data science skills.
Gain enhanced high-availability support for business-critical and large workloads to help eliminate single point of failure.
Improve automated SQL regression detection and resolution feature, so regressions can be detected and resolved quickly.
Identify SQL statements that contribute to system assessment exceptions by correlating data from system assessment and SQL Optimization.
Discover the improvements in version 1.5. See how adding AI to Db2 can help you work more effectively.
Maintain the health of Db2 subsystems and better optimize and tune performance with a Db2 AI systems assessment.
Use machine learning to enhance your SQL query performance. Improve application performance and reduce the need for complex skills.
Determine the best-performing query access paths, based on your workload characteristics with Db2 for z/OS optimizer.
Learn how to improve application performance and reduce CPU consumption and IT cost through optimization of best query access paths.