The annexe of the Artificial Intelligence Mission Austria 2030 (AIM AT 2030)

The annexe of the Artificial Intelligence Mission Austria 2030 (AIM AT 2030) outlines various practical applications of AI across multiple sectors. It serves as a detailed companion to Austria’s broader AI strategy, focusing on specific fields where AI can bring significant advancements. Below are the key topics and AIs applications covered in the annexe:

AI for climate protection:

• Reducing emissions and enhancing efficiency in energy systems
• Supporting renewable energy and resource management

Digitalised energy systems:

• Optimising energy consumption and decentralised energy networks
• Improving efficiency, resilience, and self-organisation of energy grids
• Predicting energy demand with AI-driven data analysis

AI for sustainable mobility:

• Real-time traffic management and smarter logistics
• Autonomous vehicles and public transport optimisation
• Integrating mobility services for sustainability

AI in manufacturing and industry:

• Optimising production processes and reducing waste
• Enhancing decision-making through predictive analytics
• Integrating AI across production stages for better resource management

AI in agriculture and forestry:

• Precision farming with data from satellites, sensors, and weather systems
• Sustainable agricultural practices and forest management
• Long-term planning with climate-adaptive models for forestry

AI in space applications for climate protection:

• Analysing satellite data for Earth observation and climate monitoring
• Supporting digital twin models for more precise climate simulations

Smart city and urban planning:

• Optimising energy, mobility, and infrastructure data
• Reducing carbon footprint through AI-powered resource management
• Real-time monitoring of city infrastructure and energy consumption

AI in construction (bausektor):

• Enhancing efficiency through digital planning and Building Information Modeling (BIM)
• Predictive maintenance and improved safety in construction processes

AI in healthcare:

• Supporting diagnosis, personalised medicine, and predictive analytics
• Assisting in medical imaging and decision-making for clinicians
• Emphasising privacy and ethical standards in AI healthcare applications

AI in arts, culture, and media:

• Supporting creative processes and cultural heritage preservation
• Automating routine tasks to enhance artistic production
• Offering innovative tools for media and cultural sectors

AI in education:

• Personalising learning experiences and creating tailored content
• Intelligent tutoring systems and predictive analytics for student assessment
• Supporting learning paths with AI-powered feedback and analysis