Share a real use case. Inspire Norway’s data community.
Get visibility with BI, Analytics, and AI leaders across industries.
Dataforeningen invites experts, practitioners, and researchers to submit proposals for Make Data Smart 2026, taking place 2 November 2026 at Radisson Blu Scandinavia Hotel in Oslo.
Make Data Smart is Norway’s independent conference for Data, Analytics, and AI. The conference brings together professionals working hands-on with data to share experiences, lessons learned, and practical approaches that create real value.
The audience consists of experienced professionals working with data, analytics, and AI, including data engineers, data scientists, BI specialists, architects, and data leaders from both private and public sector organizations.
We welcome both industry case studies and new research, and encourage speakers to share real-world experiences, practical insights, and lessons learned from real implementations. Please note that pure product pitches will not be accepted.
Conference tracks
You may submit your proposal to one of three tracks:
Make focuses on how organizations build and deliver data capabilities — including methods, operating models, data engineering practices, and organizational change.
Data focuses on the foundations of modern data environments — including platforms, architecture, governance, and data management.
Smart focuses on how data is turned into value — including analytics, machine learning, AI applications, and data-driven products.
Topics of interest include (but are not limited to)
- Data, Analytics & AI leadership and strategy
- AI adoption and AI strategy
- Building data skills, data culture, and AI fluency
- Data & AI for good
- Big data management and analytics
- Predictive analytics and machine learning
- Natural language processing, deep learning, and neural networks
- Computer vision and AI-driven systems
- Business intelligence and data-driven decision making
- Cloud computing and modern data warehousing
- Real-time data processing
- Data platforms and data architecture
- Structured and unstructured data
- Data governance, privacy, and security
- Data pipelines and modern data engineering
- Managing technical debt in data platforms
- AI applications across industries (healthcare, finance, manufacturing, public sector, and more)
Submission deadline: 20 April 2026