NP31 Applied AI in Environmental Sector

Please register your email, and you will receive an email with a link to open or download the whitepaper PDF. Registration is free, and we will only use your email to send you notifications of similar future whitepapers.

Why AI?

AI is revolutionizing the environmental services sector by introducing unprecedented efficiency and accuracy in monitoring, analysis, and action on environmental issues. Its importance and urgency stem from the escalating need to address climate change, pollution, and biodiversity loss more effectively and swiftly.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.


  1. Predictive analytics for climate change impacts.
  2. AI-driven waste sorting and recycling systems.
  3. Water quality monitoring and management.
  4. Smart agriculture for reduced resource use.
  5. Renewable energy optimization and distribution.
  6. Pollution tracking and reduction strategies.
  7. Disaster preparedness and response enhancements.
  8. Biodiversity conservation through habitat and species monitoring.
  9. Urban planning for sustainable development.
  10. Efficient resource management to support circular economy initiatives.


(PDF, 24 pages, 10×10) 
This PDF captures the main ideas from the paper. Easily shareable on SoMe for a start of an online conversation about AI in your industry.

(PDF, 2 pages, A4)
This PDF contains the main ideas from the paper, for your easy reference.

(PDF, 16 pages, 4×3) 
This PDF contains an overview of the 10 main AI use cases for this industry.

To get started with AI, first do this:

  1. Invest in Data Infrastructure: Build or enhance systems to collect and analyze environmental data.
  2. Focus on Skill Development: Train your team in AI and machine learning fundamentals specific to environmental applications.
  3. Pilot Small Projects: Start with manageable AI projects that address specific environmental challenges, learn from these experiences, and scale up successful initiatives.
  4. Explore other resources on and check out the book “Explain for me AI”.
  5. Please contact us at for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Picture of Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on

Share this PLAYBOOK