De-Risk, Optimize, and Scale
Generative & Agentic AI with Unified Observability
Generative & Agentic AI with Unified Observability

Sponsored By:
Wednesday, December 17
1 pm ET
Generative and Agentic AI initiatives unlock innovation but multiply operational risks, costs, and complexity. In fact, recent analyst report 95% of AI initiatives are not making it to production. In this webinar, Dynatrace reveals how AI Observability—powered by Davis® AI, Grail, and Automation Engine—helps enterprises optimize performance, govern AI behavior, and accelerate time-to-value. Discover how unified observability with agentic automation transforms AI operations from reactive issue management to predictive, self-optimizing systems that safeguard reliability and trust.
Key Takeaways:
Key Takeaways:
- Understand how full-stack observability enables performance, reliability, and compliance across LLMs and agents
- Learn how Davis® AI detects anomalies, predicts cost spikes, and drives auto-remediation through workflows
- Discover how Grail’s contextual analytics deliver unified cost, performance, and business visibility
- Learn how Dynatrace observability platform provides right data in real time to help free teams to focus on agentic AI initiative
- Gain actionable guidance to scale AI confidently while maintaining transparency, governance, and cost control
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Mrudula Bangera
Tech Evangelist - Dynatrace
With over two decades of experience designing and delivering IT Operations Management (ITOM) solutions, Mrudula brings deep domain expertise in observability, automation, and digital transformation. Prior to Dynatrace, she has worked with companies like Gartner, Accenture, IBM, and Wipro providing technical solutions for IT infrastructure and digital technology projects.

Troy Mangum
Tech Evangelist - Dynatrace
Troy Mangum has a 20+ year history in IT. Currently, he serves as a Product Marketing Manager for Dynatrace Log Management and Analytics. Previously, He was Director of Product Marketing for CI/CD at Harness and before that he led competitive GTM for Red Hat OpenShift. He has 10+ years in engineering leading technical marketing engineering and software engineering organizations within NetApp (500M Flexpod & HCI business units) and EMC. Troy translates technology into everyday language, focusing on answering the question “Why it matters to customers."