Part 1 AI & Data (Strategy and Operations)

Should you attend?

• You want to learn about the value AI and data can provide your team and business
• You are ready to start using AI, but unsure where to begin
• You are looking to be inspired by real life applications of AI and ML

What can you expect?

Humans First, Tech Second: The Foundation for AI Success with Martin Jørgensen, Neurospace

Understand the crucial strategic and organizational considerations for adopting AI. You’ll learn how to start an AI project and how to involve your team, to ensure success and ownership within the organisation.

The Hitchhikers Practical Guide to MLOps with Rasmus Steiniche, Neurospace

Let’s explore a practical demo of how MLOps can be implemented, together with some generalized learnings about going from one model to hundreds of models in production.

We will lean on everything we learn along the way from DevOps to SRE and even the Cloud Native movement. But you already know the answer. It’s 42.

Workshop: AI Service Check by Neurospace

During this interactive workshop, together with guidance from our experts, you will have the opportunity to identify your readiness for adopting AI, which goals you should focus on, and develop a plan to get you started on your AI journey.

Part 2: Cybersecurity (GCP Protection & AI Security)

Essential for protecting your innovation. We will focus on securing your foundational cloud environment and addressing the new attack surfaces created by AI.

Who should attend?

• Interested in learning more about Cybersecurity, specifically the emerging topics of AI security and AI agents.

AI Agent Security & Guardrails with Henrik Hammer, Google Cloud

As AI agents move from prototype to production, security and governance become paramount. In this session, we will explore how you can implement security and guardrails into your AI agents in GCP. We will look at built-in GCP security options, the built-in security properties of Gemini models. We will also explore the options in Google Agent Development kit to enforce guardrails with callbacks and plugins and using another LLM as a judge to intervene at various stages in the agent workflow.

AI Agents: Building Trust and Control with Governance and Security Guardrails with Christopher Chan, Google Cloud

AI agents are driving the next evolution of software, enabling capabilities like autonomous action, continuous learning, and multi-agent collaboration. However, this shift introduces significant operationalization challenges, particularly concerning Safety and Security—including protecting sensitive data, guarding against prompt attacks, and addressing risks like Excessive Agency or System Prompt Leakage.

This session explores the essential governance and security foundations required for production-quality AI serving.

Networking

Connect with like-minded collegues

Don’t miss this opportunity to define your AI roadmap, optimize your business processes, and secure your future in the Cloud.

The Agenda can change. Note that there is a max. number of participants.