Event type: Virtual Event
Thursday, February 26, 2026, 10:00 AM - 11:30 AM
10:00 AM(UTC-06:00) Central Time (US & Canada)
As organizations scale their AI initiatives, teams need practical, repeatable ways to orchestrate complex data and machine learning pipelines. This 90‑minute hands‑on workshop, led by experienced Control‑M practitioners, will guide attendees through building real workflows using Control‑M’s newest AI‑powered capabilities—AI Workflow Creator, Jett AI Advisor, and integrated orchestration features for data and AI workloads.
Participants will work directly with a real-world use case inspired by Operationalizing Predictive Analytics with Control‑M and Vertex AI. You’ll learn how to orchestrate the full lifecycle of an AI pipeline—from data ingestion and feature preparation to model training, scoring, and deployment—using Control‑M as the central automation and governance engine.
Attendees will build and run their own workflows during the session, gaining hands‑on experience applying Control‑M’s AI features to accelerate delivery, improve reliability, and operationalize predictive analytics at scale.
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Build workflows using AI Workflow Creator and natural‑language prompts
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Use Jett AI Advisor to optimize, troubleshoot, and enhance workflow design
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Orchestrate a predictive analytics pipeline modeled on the Control‑M + Vertex AI use case
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Coordinate data ingestion, preparation, model training, evaluation, and deployment steps
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Integrate Control‑M with cloud‑native AI services and data platforms
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Apply enterprise‑grade orchestration practices to MLOps and AI workflows