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The Agentic Shift: Engineering Reliability at the Develop + Deploy AI Stage

  • Develop + Deploy  AI Stage – Building and scaling production ready AI systems

Across the Nordic region, forward-thinking technical teams are rapidly moving past basic chatbots and standalone RAG (Retrieval-Augmented Generation) loops. The current frontier belongs to Production-Ready AI architectures built on complex Multi-Agent Systems and self-healing, Intelligent Workflows. But shifting from single-prompt experiments to highly autonomous corporate software presents a brand-new set of engineering hurdles.

To connect those, the Develop + Deploy AI Stage at NDSML 2026 provides a rigorous, practitioner-led environment where developers, data scientists, and ML specialists can acquire the blueprints needed to build inherently reliable systems. This technical track strips away the standard vendor hype to tackle the actual software plumbing required to orchestrate, evaluate, and scale elite Compound AI Systems across modern corporate workflows.

Key Technical Deep Dives:

  • AgentOps, MLOps, and LLMOps Integration: Building continuous delivery, deployment, and monitoring pipelines specifically designed for autonomous behavioral software.
  • Advanced RAG & Context Engineering: Upgrading basic RAG (Retrieval-Augmented Generation) frameworks into resilient, agentic retrieval architectures that minimize retrieval latency.
  • Hallucination Management: Implementing systemic testing, validation, and safety guardrails to detect and mitigate erratic model outputs before they reach production.
  • Continuous AI Evaluation: Utilizing advanced metric frameworks and automated telemetry to execute relentless benchmarking and AI testing for complex operational systems.

The Technical Foundations of Agentic AI 

Engineers attending this dedicated track will explore the practical lifecycle of GenAI engineering, mastering the integration of MLOps and LLMOps to ensure smooth, repeatable deployments. A major focus of this stage centers on systemic error reduction, introducing advanced tactics for Hallucination Management and the development of continuous AI Evaluation testing frameworks. Attendees will gain firsthand exposure to the emerging discipline of AgentOps, learning how to capture system telemetry, monitor agent interactions, and orchestrate highly stable AI Agents

If you are looking to master the technical details of the Agentic AI shift and deploy systems your organization can genuinely trust, this is the place. Secure your ticket and join 400 of Europe’s leading tech minds on the biggest Enterprise Applied Agentic AI Conference in the Nordics and Europe at the Filadelfia Convention Center in Stockholm this November and visit the Develop + Deploy  AI Stage to see the scaling production ready AI systems and explore trustworthy, production-ready AI!