IBM Db2 AI for z/OS

Use machine learning and AI to improve operational performance

Server room with person on computer surrounded by mainframes

See what’s new in 1.5.

Learn how AI enhances usability, improves operational performance and maintains the health of IBM® Db2® systems.


Infusing AI into Db2 for z/OS makes it smarter

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.


What’s new

Db2 AI for z/OS helps organizations infuse AI throughout operations, transactions and applications for improved efficiency and better business outcomes.

  • Uses ML and AI to help improve operational performance and maintain the health of Db2 systems
  • Revolutionizes Db2 management through new simplified experiences, providing self-tuning and self-managing capabilities to Db2 for z/OS powered by AI
  • Provides better operational control over Db2AI for z/OS processing
  • Addresses enterprise security and audit requirements with multi-factor authentication
  • Applies intelligent insights using AI to predict and troubleshoot database performance

 



Benefits Reduced CPU consumption and IT cost

Realize up to 25 percent CPU savings through optimization for best query access paths using machine learning technology.

Improved Db2 application performance

Run Db2 for z/OS applications faster and more efficiently and therefore use less MIPs.

Rapid model learning

Learn patterns from collected data specific to the data and application behavior per subsystem without requiring data science skills.


Features Sysplex support and simplified migration

Gain enhanced high-availability support for business-critical and large workloads to help eliminate single point of failure.

SQL optimization

Improve automated SQL regression detection and resolution feature, so regressions can be detected and resolved quickly.

Db2 System Health Assessment

Identify SQL statements that contribute to system assessment exceptions by correlating data from system assessment and SQL Optimization.


How customers use Db2 AI for z/OS

Meet audit requirements with distributed connection control Distributed connection control helps simplify user management for Db2 AI for z/OS with default Db2 resource access control facility (RACF) methods. Improve your security and audit requirements for user management, and support multifactor authentication.

Save time and reduce costs Db2 AI for z/OS embeds machine learning services in the Db2 for z/OS engine to provide insights into the health of Db2 for z/OS subsystems. The software can optimize performance of Db2 systems, which can reduce IT operational costs and save time.

Improve Db2 performance with BI dashboard The combination of AI and ML in Db2 for z/OS helps identify better SQL query access paths based on your unique workloads. A BI dashboard shows you self-healing SQL optimization, CPU usage data and historical long term data analysis.


Next steps

Get technical tips and insights, view community discussions, open a support case and read product documentation to make the most out of IBM Db2 AI for z/OS.

More ways to explore Community Support Documentation