The sheer volume and complexity of data available for businesses to observe, store and use is overwhelming.  Knowing how to apply AI in practical ways to respond promptly to operational challenges is crucial for successful service delivery. For organizations looking to use AI to streamline incident resolution and improve efficiency, this workshop will help give you hands-on experience with the newest features of the BMC Helix Observability and AIOps solution.

In this workshop. we'll guide you through some common use cases that leverage BMC Helix Discovery, Event Management, Resource Optimization and composite AI capabilities to identify and automate remediation of network, infrastructure and application issues.  

You'll learn how to:

• Create a real-time map of your IT ecosystem with dynamic service modeling.
• Reduce event noise and control how you view and monitor events.
• Use powerful visualizations of correlated data to isolate root causes.
• Use Generative AI to get recommended actions and help ask questions to get further details.
• Use predictive analytics to plan and optimize compute and storage resources across the enterprise.

Key Takeaways:

• Observability with AI capabilities is crucial for responding promptly to operational challenges in complex, data-driven organizations.
• Think beyond metrics, events, logs, and traces. Take a service-centric approach to understanding and resolving network, infrastructure, and application issues.
• Generative AI can be well applied to help SREs and operations engineers take recommended actions and ask subsequent questions to get further details.