Making Automation Smarter at Enterprise Scale: Advancing Observability and Analytics for Better Automation Outcomes

If you are responsible for managing enterprise automation, you already know that automation itself is not the problem. Most large organizations already rely on orchestration and automation to deliver their traditional ITOps scheduling, DataOps/MLOps and DevOps workloads across mainframe, distributed and cloud environments. The challenge is managing growing complexity, especially when automation issues span multiple platforms and execution engines. Advances in analytics and AI are changing what’s possible. By advancing observability beyond individual schedulers and applying intelligence to automation data, enterprises can move from reactive troubleshooting to faster diagnosis, near-real-time adjustment, and more confident decision-making at scale.
 
Based on research from Enterprise Management Associates (EMA) and real-world enterprise use cases, this webinar will examine how organizations are making automation smarter—not by replacing existing tools, but by improving observability and analytics to better anticipate risk, understand impact, and achieve better automation outcomes.
 
Join Dan Twing, President and COO at EMA, and Jon Hiett, Global Solution Architect at Broadcom Inc., for a discussion on:

Why automation complexity—not automation failure—is the real challenge at enterprise scale

Why expanded observability improves diagnostics everywhere but delivers its greatest value when automation issues span multiple platforms

Where analytics and AI enable faster adaptation during execution

The critical difference between reactive job monitoring and proactive business assurance and how to prevent SLA breaches before they impact the business.

Additionally, this webinar will highlight key concepts from EMA’s white paper Smarter Automation Through Observability, with deeper detail available following the webinar.