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#4. SUST[AI]N


Hi there,


This month, we decided to highlight brands and initiatives that delve into the fascinating intersection of AI, biodiversity, art, and knowledge to see how AI is reshaping the landscape by meticulously analyzing extensive datasets, accelerating processes, monitoring ecosystems, identifying risk areas, and influencing trends over time.


We thought it could inspire you too.


 



INNOVATION

Scanning tomorrow's grounds

Champagne Henriot launched an ambitious AI-driven exploration program for precision viticulture. The program aims to address climate change challenges and reduce the environmental footprint of the wine industry across various sections of the Champagne estate founded in 1808.

The AI generates maps based on the data collected through the scanning device, providing insights into vine behavior and facilitating adaptive decision-making regarding inputs and quantities with a level of precision only achievable through the implementation of AI technology.




ChampagneHenriot ©




 


FASHION

Decarbonizing fashion supply chain



Unspun ©



Unspun, the California startup known for making custom-fit jeans based on 3D body scan technology, has recently unveiled Vega, a revolutionary 3D weaving technology.

They aim to create a more sustainable approach to denim production with made-to-measure jeans, therefore reducing fabric waste by eliminating the need for large order quantities or unsold inventory while also reducing transport emissions. The production lead time has been reduced from 9 months to just 2 days. By deploying this automated and low-impact production tech in “micro-factories” around the world, the company can help brands move to a faster, more localized and highly adaptable production model that will ultimately reduce the overall environmental footprint of denim manufacturing.



 

PARTNERSHIPS

Converging efforts



TheOceanCleanUp ©


A hackathon organized by Microsoft has resulted in the creation of a machine learning model that assists the Dutch NGO, The Ocean CleanUp, in refining the cleaning of oceans and rivers. The tech giant teamed up with the nonprofit to develop a machine learning model, autonomous

« interceptor » boats able to identify plastic waste on the water's surface. Integrated with a drone camera, the machine separates floating plastics from organic waste, greatly facilitating the harvesting process. In just one summer, the system was able to provide over 30,000 photos of polluted marine areas worldwide, suggesting that the goal was achievable not just for one river, but for all the world's waterways.





 


ART

Conservation through art


©Refik Anadol


At the 54th annual World Economic Forum in Davos, Turkish new media artist Refik Anadol introduced  the world’s first open-source generative AI-model dedicated to nature.

Titled Large Nature Model, this innovation features AI learning models that derive their data exclusively from "nature's inherent intelligence," distinct from the human intellect that most models rely on. Drawing information from institutions and emblematic museums, it aims to provide insights, education, and advocacy to raise awareness about environmental issues. By integrating art, technology, and nature, it also engages people on multiple sensory levels, making the abstract concept of environmental conservation more tangible and understandable.





 


NUMBERS

Positive stats - for the records.


46%

Is the number of executives viewing AI as important for advancing their companies sustainability

reporting and performance efforts according to a IBM 2023 study.


90%

of the online content is expected to be produced with the help of artificial intelligence by 2025 according to the latest Europol Innovation Lab observatory.


97 million

Is the estimated number of new jobs that AI will create by 2025 According to World Economic Forum research.


 


At Numero11, we track, monitor and spot creative initiatives that we think make sense and do some good.


FEBRUARY 2024 / NUMERO11


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