top of page

Nordic Technology Forum for Sustainability 2024
Rebel, Universities gate 2 

"AI for Sustainability, Diversity and social impact:
As we stand at the crossroads of technological advancement and environmental stewardship, this gathering aims to explore how AI can be harnessed to address pressing issues across key industries and government sectors

Our discussions will focus on actionable strategies and innovative solutions that not only drive economic growth but also promote environmental sustainability and social equity. Together, we will chart a course for integrating AI in ways that enhance the quality of life for all citizens while safeguarding our planet for future generations

Booth #2 Liftestate


3D images and videos a step further, capturing every detail of your premises and creating digital twins that stand out

Booth #1 Media Monday Oslo

Media Monday logo new_edited.jpg

Media Mondays  is one of the fastest growing tech events in the Nordics. A place where creativity meets technology for a sustainable future.

We have insightful discussions on how technology is creating new business opportunities, exciting jobs, new possibilities, wealth and sustainable societies


1st speaker

Rune Tinkler.jpg
AI in Environmental Sustainability

Use of AI in predicting climate patterns, optimizing renewable energy sources, and reducing greenhouse gas emissions.

Biodiversity Conservation: AI applications in monitoring wildlife, tracking endangered species, and managing natural habitats.

Waste Management: AI-driven solutions for recycling, reducing waste, and improving waste management logistics.

Sustainable Agriculture: Precision farming, resource-efficient crop management, and reduction of pesticide use through AI..

AI in Social Impact

Healthcare: AI for personalized medicine, improving diagnostics, and managing healthcare resources efficiently.

Education: Adaptive learning technologies, personalized educational content, and addressing educational inequalities.

Social Services: Enhancing public service delivery, improving access to social welfare programs, and fraud detection in social services.

Workforce Development: Re-skilling and up-skilling initiatives using AI, and addressing job displacement due to automation.

Helge Stubberud.jpg
AI in Key Industries

Energy Sector: Smart grids, optimizing energy consumption, and integrating renewable energy sources.

Transportation: Autonomous vehicles, optimizing public transportation, and reducing traffic congestion.

Manufacturing: AI-driven predictive maintenance, enhancing production efficiency, and reducing industrial waste.

Retail and Supply Chain: Improving inventory management, reducing food waste, and enhancing supply chain transparency.

Paul white.jpg
AI in Government and Public Policy

Smart Cities: AI in urban planning, improving public safety, and enhancing citizen services.

Public Health: Predicting and managing disease outbreaks, optimizing healthcare delivery, and improving emergency response.

Data-Driven Governance: Utilizing AI for policy-making, enhancing government transparency, and improving citizen engagement.

Cybersecurity: Strengthening national security, protecting critical infrastructure, and ensuring data privacy.

Ethical Considerations and Governance

Bias and Fairness: Addressing biases in AI algorithms, ensuring fairness in AI applications, and promoting diversity in AI development.

Transparency and Accountability: Developing transparent AI systems, ensuring accountability in AI decision-making, and implementing ethical AI frameworks.

Regulation and Policy: Formulating AI regulations, creating guidelines for responsible AI use, and promoting international cooperation on AI standards.

Stina Kildedal-Johannessen.jpg
Economic Impacts

Job Creation and Automation: Balancing automation with job creation, supporting workers displaced by AI, and fostering new job opportunities in the AI economy.

Economic Inequality: Addressing the impact of AI on economic disparities, promoting inclusive economic growth, and ensuring equitable access to AI technologies.

Vidar Handal.jpg
Innovation and Collaboration

Public-Private Partnerships: Encouraging collaboration between governments, businesses, and academia to drive sustainable AI innovations.

Research and Development: Promoting R&D in sustainable AI solutions, supporting innovation ecosystems, and funding AI for social good.

Global Collaboration: Fostering international cooperation on AI research, sharing best practices, and addressing global challenges through AI.

Panel member

Emilie Martinsen Christensen.jpg
Emilie Christensen,
Nordic Edge

Bringing in her perspectives working with Advancing a smarter and greener tomorrow through our Smart City Cluster, Innovation hub Innoasis & Expo

Panel member

Jonny Mauland.png
Jonny Mauland,

Bringing in his expertise of more than 15 years of experience in the IT industry, primarily as a tech architect, currently Nordic Sustainability Lead in Accenture Technology, focusing on how we can help Accenture’s clients use technology to enable and accelerate the implementation of sustainability use cases and solutions

Panel member

Pia Jøsendal.jpg
Pia Jøsendal,
Bouvet ASA

Bringing in her perspectives as a multi disciplinary professional specializing in how businesses and human interactions change societies.

Panel member

Siri Engesaeth.jpg
Siri Engesaeth,

Bringing in her perspectives as a CEO for a ESG SaaS platform. for Ethical supply chain management,  accounting and reporting

bottom of page