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Modernize Enterprise Orchestration with Control-M SaaS
As organizations accelerate AI adoption and cloud transformation, automation must become smarter, simpler, and faster. Join this 1-hour webinar to discover the latest innovations in Control-M SaaS and see how they help teams increase productivity, reduce operational effort, and accelerate business outcomes.
Speakers
Javier Llano
Sales Director, BMC Software
Leana Barbion
Solution Engineer, BMC Software
event summary
Why enterprise orchestration must evolve for an AI-driven operating model
As cloud, data, and AI initiatives accelerate, operational complexity is outpacing traditional management approaches. Industry leaders discuss why orchestration is becoming a strategic capability for connecting distributed processes, improving visibility, and enabling innovation at scale.
core insights
From fragmented operations to connected business execution
Organizations are facing a growing gap between increasingly interconnected business processes and the way operational workflows are currently managed.
1
Orchestration is becoming a business-critical discipline
Modern business processes span infrastructure, applications, data platforms, APIs, and AI services. As these domains become more interconnected, organizations need end-to-end visibility and coordination rather than isolated operational management.
2
Legacy operating models are limiting transformation
Many organizations continue to focus orchestration efforts on traditional infrastructure workloads while cloud, data, and AI initiatives expand elsewhere. This creates operational blind spots and makes it difficult to manage complete business processes across technology domains.
3
AI requires governed execution, not isolated experimentation
AI delivers value only when connected to reliable data, validated processes, and controlled execution. Moving AI from experimentation to production requires governance, traceability, decision controls, and integration with operational workflows.
what this means
Turning operational capacity into business value
As organizations expand cloud, data, and AI initiatives, operational teams must spend less time maintaining platforms and more time enabling business outcomes. Success increasingly depends on accelerating innovation while maintaining control, visibility, and reliability.
Key takeaways:
- Assess whether critical business processes are orchestrated end to end across infrastructure, applications, data, and AI.
- Identify operational bottlenecks that consume resources and limit transformation initiatives.
- Expand orchestration beyond traditional scheduling to support modern cloud and AI-driven workflows.
- Establish governance and auditability for AI-driven decisions before moving workloads into production.
- Prioritize operating models that reduce platform administration effort and increase focus on innovation.
“Technology environments are changing. They are becoming more complex. We have more cloud. We have more application. We have more data and now more AI. This is not going to decrease. This is going to augment.”
Javier Llano, BMC
Bring order to complex workflows
Control-M orchestrates workflows across applications, data platforms, and business systems; not just individual processes.