Why isn’t a lot of data or only machine learning enough? What does it really take to succeed with AI and machine learning?
🎥 Watch the full interview on Finansavisen TV to learn the lessons from Øyvind Spørck, Head of Tailored AI and ML at Antire and CEO of Sannsyn.
In the conversation, Øyvind shares reflections from over 15 years at the forefront of machine learning in Norway—long before AI became a buzzword. His experience spans everything from algorithmic commodity trading platforms to AI-powered automation in the public sector.
The key takeaway? Machine learning alone isn’t enough. Companies need a solid data foundation before they can expect real outcomes. That means:
- Structured, high-quality, accessible data
- Clear business objectives
- A pragmatic approach to automation and AI implementation
At Antire, we help customers unlock value from their data—not just build cool models. As part of Antire, the Sannsyn team now leverages its deep AI and ML expertise in a broader context, helping customers modernize their data platforms, automate processes, and solve complex business challenges across various sectors.
Whether it's empowering energy traders with predictive models or streamlining friction-heavy workflows in large organizations, our mission remains the same: turn data into results.
Want to know how AI can create real value in your organization?
Book a meeting today or contact us here.
