Vegard Sjåvik
Vegard is a data engineer in Bekk Consulting. He has worked with customers within banking and humanitarian aid to extract value from their data. During his studies of AI at NTNU he specialized in the role of data in AI model training
AI Is Easy. Trustworthy Data Is Hard. Why Data Engineers Matter More Than Ever
– Room 6
Foredragsholder
Om sesjonen
Across the industry, teams are asking the same question: "What problem can we solve today with AI?" It sounds like the right place to start. In practice, it rarely is.
Again and again, the real answer turns out to be simpler: the problem can already be solved by a trustworthy dashboard that people actually use. The data foundation just was not there yet.
For most organizations, trusted and easy-to-use dashboards cover the majority of real decision needs. AI becomes a high-value addition only after that foundation exists. High-confidence visibility beats low-confidence intelligence.
If your team is asking "What can we solve with AI?" but cannot yet answer "Which KPI can we trust today?", this session is for you. You will leave with a concrete checklist to assess your organization's data readiness and a clear mental model for prioritizing dashboards and data foundations before AI investments.
Passer for
Developers, data engineers, analytics engineers, technical architects, and engineering leaders evaluating AI initiatives. Attendees will get insights in how focusing on low hanging fruits can often create as much value as intensive AI applications