Webinar Description
Key Takeaways
- Explores artificial intelligence integration within IBM Db2 and IMS mainframe database environments
- Demonstrates BMC AMI Assistant and BMC AMI Command Center for embedded operational guidance
- Addresses governance and trust considerations for AI in production database workflows
- Relevant for database administrators, mainframe professionals and IT operations teams in enterprise environments
- Covers the progression from conversational AI to agent-driven automation in database management
Introduction
AI-Powered Db2 and IMS Operations: Faster Investigation, Smarter Workflows is a virtual event examining how artificial intelligence capabilities are being applied to mainframe database management. Hosted by BMC Software, the webinar targets database administrators, IT operations teams and mainframe professionals working with IBM Db2 and IMS systems. As enterprises face mounting pressure to accelerate incident response and reduce operational complexity, the session addresses how AI-driven tooling can deliver contextual guidance directly within existing workflows rather than requiring practitioners to navigate between disconnected systems.
About This Event
This webinar-format session brings together expert-led presentations focused on the practical application of AI within Db2 and IMS operational environments. The programme examines two specific technologies—BMC AMI Assistant and BMC AMI Command Center—and how they integrate intelligence capabilities into the daily routines of database teams. Rather than treating AI as a separate analytical layer, the approach discussed embeds assistance directly into operational interfaces where administrators already work.
AI Integration in Mainframe Database Operations
The core technical discussion centres on how natural language interaction can surface operational intelligence from Db2 and IMS environments. Traditional mainframe database administration often requires deep expertise in system-specific commands, log interpretation and performance diagnostics. The AI capabilities under examination aim to reduce this cognitive burden by allowing practitioners to query system status, investigate anomalies and receive guided recommendations through conversational interfaces.
BMC AMI Assistant represents the conversational layer, providing natural language access to operational data and trusted guidance. BMC AMI Command Center serves as the broader operational platform where these AI capabilities are embedded. Together, they illustrate a model where intelligence is not bolted on as an afterthought but woven into the fabric of daily database management tasks.
Governance and Trust in AI-Assisted Operations
A significant portion of the event addresses the governance dimensions of deploying AI in production database environments. Mainframe systems frequently underpin mission-critical workloads in financial services, healthcare, retail and manufacturing. Any AI-driven recommendations or automated actions must therefore operate within carefully defined boundaries to maintain data integrity and regulatory compliance.
The session explores how organisations can establish trust in AI-powered experiences, ensuring that guidance provided to database administrators is accurate, auditable and aligned with operational policies. This governance focus reflects broader enterprise concerns about AI reliability in environments where errors carry substantial business consequences.
From Question-Answering to Agent-Driven Actions
The webinar also examines the evolutionary trajectory of AI in database management. Early implementations typically focused on answering questions—retrieving information or explaining system behaviour in response to user queries. The discussion extends to more sophisticated capabilities where AI can guide multi-step workflows or initiate agent-driven actions that automate routine operational tasks.
This progression has significant implications for how database teams allocate their time. By offloading repetitive investigation and remediation steps to AI-assisted processes, skilled practitioners can focus on higher-value activities such as capacity planning, performance optimisation and architectural improvements.
Who Should Attend
The event is designed for professionals responsible for Db2 and IMS database environments, particularly those in large enterprise settings. Database administrators seeking to streamline investigation workflows will find relevant material, as will IT operations managers evaluating AI-driven approaches to mainframe management. Product managers and solution engineers working on mainframe modernisation initiatives may also benefit from understanding how embedded AI capabilities are reshaping operational tooling in this space.
Conclusion
As mainframe environments continue to support critical enterprise workloads, the integration of AI into database operations represents a meaningful shift in how organisations manage these systems. This webinar offers a focused examination of that shift, grounding the discussion in specific tooling and practical governance considerations rather than abstract possibilities.