WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
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.

Pause
Mute Enter Fullscreen
#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

More from World Congress 2025

GenAI Security: Navigating the Unseen Iceberg thumbnail
24:33
11 months ago

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing

Behind the Code: How Women Are Powering the Future of AI thumbnail
30:28
about 1 year ago

Behind the Code: How Women Are Powering the Future of AI

Alexandra Wudel, Laura Moritz, Madalina Florean

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise? thumbnail
28:12
about 1 year ago

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer, Stephan Wirris

AI in Leadership: How Technology is Reshaping Executive Roles thumbnail
28:19
about 1 year ago

AI in Leadership: How Technology is Reshaping Executive Roles

Bernd Datler, Jasmin Kaiser, Jeff Hausmann, Sonja Alvarez

The AI-Ready Stack: Rethinking the Engineering Org of the Future thumbnail
28:09
about 1 year ago

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Alex Laubscher, Jan Oberhauser, Keno Dreßel, Mirko Novakovic

AI Sovereignty: What Does It Take? thumbnail
29:13
about 1 year ago

AI Sovereignty: What Does It Take?

Boris Hecker, Clemens Wasner, Robin Hermann, Sonja Alvarez

Related videos

From Traction to Production: Maturing your LLMOps step by step thumbnail
41:45
LIVE • almost 2 years ago

From Traction to Production: Maturing your LLMOps step by step

Maxim Salnikov

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact thumbnail
23:33
World Congress 2025 • about 1 year ago

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact

Oliver Will

The State of GenAI & Machine Learning in 2025 thumbnail
26:47
World Congress 2025 • about 1 year ago

The State of GenAI & Machine Learning in 2025

Alejandro Saucedo

Building Products in the era of GenAI thumbnail
59:39
LIVE • almost 3 years ago

Building Products in the era of GenAI

Julian Joseph

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
World Congress 2024 • about 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

MLOps - What’s the deal behind it? thumbnail
29:24
World Congress 2022 • over 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.