AI Resilience in the Digitalization of the Forest Industry

Purpose and goal

Katam enhances AI forest analysis with robust geolocation, secure data flows, and a digital twin. Driven by forestry digitalization and demands for data quality, traceability. Through collaboration with e.g., NVIDIA and Stanford HAI, resilient AI, cybersecurity, and sensor fusion are developed. Focus: improved forest positioning, an AI digital twin for natural values, and secure AR solutions. Goal: stronger Swedish forestry tech, better work environment, and sustainable forest management.

Expected effects and result

Expected results: A more powerful AI platform with robust geolocation, cyber-secure data flows and a scalable digital twin. Effects: Strengthened Swedish competitiveness in forest technology, improved working environment and enabling more sustainable and traceable forest management. Katam gains access to world-leading expertise for faster innovation and a more resilient technical solution.

Planned approach and implementation

The implementation includes: 1. Feasibility study and gap analysis of Katams AI-arkitektur, data chain and geolocation. 2. Two weeks of knowledge exchange in Silicon Valley with workshops, lab meetings and joint method development. 3. Technical investigation of new methods within robust AI and cybersecurity in Katam´s system. 4. Results reporting and plan for future Sweden–US collaborations.