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World Congress 2025 • Aug 20, 2025 • Session details

From Traction to Production: Maturing your GenAIOps step by step

Maxim Salnikov

Struggling to move your generative AI from local experiments to enterprise production? Learn how to implement a GenAIOps framework to securely orchestrate, benchmark, and deploy models at scale.

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#1 about 4 min

Business motivation and blockers for generative AI adoption

Why organizations struggle to implement generative AI despite high investment multipliers.

#2 about 2 min

Defining operationalization for generative AI projects

How proper operationalization ensures continuous delivery, velocity, and cost control.

#3 about 3 min

Transitioning from LLM operations to GenAIOps terminology

Why the industry shift towards GenAIOps better encapsulates diverse multi-model workflows.

#4 about 3 min

Differences between traditional MLOps and GenAIOps

Contrasting data science lifecycles with the application-focused approach of foundational models.

#5 about 3 min

The continuous lifecycle of GenAIOps applications

Mapping the iterative journey from initial prompt experimentation to production deployment and monitoring.

#6 about 2 min

Assessing team readiness with the GenAIOps maturity model

Using a structured maturity model to identify capability gaps and define improvement steps.

#7 about 5 min

Scaling operations using Azure AI Foundry tools

Leveraging open enterprise-ready platforms to manage scale, security, and multiple external agent protocols.

#8 about 4 min

Benchmarking and evaluating models in Azure AI

How unified inference endpoints simplify discovering, benchmarking, and swapping AI models seamlessly.

#9 about 2 min

Accelerating project scaffolding with Azure Developer CLI

Provisioning infrastructure and deploying complex multi-agent templates quickly using command-line tools.

#10 about 2 min

Monitoring enterprise AI workloads for continuous observability

Instrumenting applications with SDKs to visualize telemetry and operational metrics in dedicated dashboards.

#11 about 2 min

Summary recommendations and next steps for operational maturity

Practical takeaways emphasizing team assessment and correct tooling to accelerate operational journeys.

Matching moments

3:30 min

Assessing current AI production readiness in modern organizations

Benedikt Höck Benedikt Höck +3 · World Congress 2026 Europe

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

1:13 min

Managing AI development with Azure AI Foundry

Ricardo Ricardo · World Congress 2025

4:01 min

Transitioning artificial intelligence into operational business environments

Stefan Donsa Stefan Donsa +1 · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:17 min

Transitioning generative AI from experimentation to production

Adolf Hohl Adolf Hohl · World Congress 2024

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