Applying AI Events in Oslo
"AI research" and "AI in production" are two pretty different worlds at this point. This page collects events from the production side: how teams integrate LLMs into real products, build agents that are worth trusting, wire up RAG pipelines that don't quietly hallucinate, and ship Copilot-style features without breaking the rest of the app. Agentic coding is a particularly active thread right now, with dedicated meetups and studios popping up across the continent.
This page narrows the Oslo calendar to Applying AI events. It's a subset of Norway's wider tech-event schedule, useful when you want something specific to go to in the city this month.
Upcoming tech events in Oslo, Norway.
Upcoming Applying AI events in Oslo
Data Breakfast β Kill Your ETL: One Platform for Transactions, Analytics, and AI
Oslo, π³π΄ Norway
Most data organisations run complex platforms with three to five separate databases and a lot of data movement: transactional database, data warehouse, streaming layer, vector store, maybe a feature store for AI. Each with its own budget, its own team, and its own renewal negotiation. The conventional wisdom is that this is necessary. The technology has moved past that assumption, and the economics have moved with it. Compound this with Sovereignty concerns and it becomes difficult to see the simple solution.
This is a 90-minute breakfast session for data leaders who want to understand what's changed, what's now easy, and what it means for their next platform decision.
What you'll see
A live demo of a single open-source platform handling transactional, analytical, and AI workloads on the same dataset. No data duplication. No ETL pipelines. Strict ACID consistency across the entire platform. Built entirely from Apache-licensed open-source components.
Cost comparison
How this approach runs 80%+ cheaper at petabyte scale than a Postgres + ETL + Snowflake or Databricks stack, with the cost model documented and auditable. Every enterprise has different architectural needs and we'll demonstrate how to model costs comparisons against your needs.
What you'll take away
A clear picture of what open-source data infrastructure can do in 2026 that it couldn't three years ago, and a framework for evaluating whether your current platform architecture is the right long-term bet, or whether you're paying a complexity tax that's no longer necessary. Whether you're committed to Snowflake, Databricks, or BigQuery, this session gives you the context to pressure-test that commitment with real numbers.
Who this is for
- CDOs and Heads of Data evaluating platform consolidation.
- CTOs assessing long-term vendor risk.
- Solution architects and data platform leads who want the technical reality before recommending a direction.
- If you are responsible for a data-platform budget and wondering whether it should be smaller, this breakfast session is for you.
Free for DND members. Limited seats. Breakfast is sponsored by IBM.
Please register using the link below:
https://event.checkin.no/223554/data-breakfast-youre-paying-for-three-platforms-you-need-one
It Takes a Village to Raise an AI Agent β A Governance Playbook
Oslo, π³π΄ Norway
Someone has to own what the agent does. On 25 August, we figure out who.
No AI agent grows up on its own. What it does gets shaped by the data it learns from, the tools it can reach, the people who build it, the policies it runs under, and the organization that puts it to work.
So if it takes a village to raise a child, what does it take to raise an AI agent responsibly?
Agents keep gaining access, autonomy, and influence. Governance can't be bolted on after the thing is already running. Someone has to decide what an agent is allowed to do, what stays a human call, and who picks up the phone when it goes wrong.
On 25 August, AgentBrew hosts Aline Souza for a one-hour workshop on what governing AI agents actually looks like in practice β and what organizations are putting in place right now.
Workshop - What we'll explore
β Who's in the village? Everyone shaping the agent, from the data team to the board
β What governance looks like day to day, not just on a slide
β How to set boundaries that build trust without strangling what you're building
β Aline's framework for governing AI agents
β Where shared responsibility ends and someone's name goes on the line
You'll work a real AI-agent scenario with the room, spot the governance gaps, and argue out what needs to be in place before that agent can be trusted with real work.
Speakers
Aline Souza β is an AI strategist, advisor and international speaker working at the intersection of AI governance, enterprise transformation and human-centred innovation. With 14 years of experience across technology, data and business, she translates complex AI risks into practical decision frameworks, accountable systems and measurable business value. She is also the creator and host of *Coffee with Data*, a newsletter and podcast exploring the relationship between AI, human judgement and responsible innovation. In this workshop, Aline brings AI governance out of policy documents and into real decisions, making it practical even for participants without a governance background.
Who Should Come
Builder, architect, data or AI practitioner, product owner, leader, governance pro β or just trying to figure out what responsible agent adoption really takes.
Bring your curiosity and your beverage of choice.