Broad business requests for cloud and AI adoption create a vast and confusing solution space, often leading to choice paralysis for clients.
Instead of starting with AI technology and searching for a problem, the focus should be on defining a business problem first to create real value.
The traditional process for deploying cloud infrastructure involves a slow, iterative cycle between roles like architects, engineers, and SecOps, often taking weeks.
AI agents can accelerate the initial deployment phase by translating natural language business requirements into infrastructure code, reducing communication costs and enabling rapid experimentation.
The proposed multi-agent system mirrors real-world roles like cloud architect, engineer, and SecOps, using tools like the Azure CLI and Terraform to automate deployment.
A live demo showcases how AI agents collaborate to interpret a natural language request, generate and correct Terraform code, validate it for compliance, and prepare it for deployment.
Focus on creating real-world value by providing agents with the right tools and knowledge, defining a clear scope, and building modular, reusable solutions.
26:35Ricardo
23:33Oliver Will
28:53Mike
27:07Eric Jadi & Rene Pajta
39:11Thomas Dohmke
25:32Viktoria Semaan
23:39Dennis Zielke & Rene Pajta
24:24Damir
Jobs that call for the skills explored in this talk.
PRODYNA SE
Düsseldorf, Germany
PRODYNA SE
Hamburg, Germany
PRODYNA SE
Stuttgart, Germany
nexMart GmbH & Co. KG
Stuttgart, Germany
Commerz Direktservice GmbH
Duisburg, Germany
Coduct Solutions GmbH
Coduct Solutions GmbH