Welcome to the AI Monday chapter in NRW – powered by KI.NRW & AICommunityOWL

With AI Monday, KI.NRW and AICommunityOWL aim to network AI enthusiasts in NRW and beyond to discuss the present and future of artificial intelligence and its impact on business and society. The AI Monday event series has been held in changing European cities since 2017.
The next “AI Monday NRW” will take place on November 22, 2021 as a virtual event on the topic of “AI and CLIMATE”.

AI Monday NRW on 22.11.2021: AI and CLIMATE


Artificial intelligence offers enormous potential in the fight against global warming. On the one hand, AI can contribute to a better understanding of climate change by analysing immense amounts of data and predict future developments and the effects of measures. On the other hand, AI can help deliver more environmentally friendly and effective solutions, such as optimising energy production and use. At the same time, however, it must be borne in mind that data centres and AI systems, especially the training of models with large amounts of data, can themselves be very resource-intensive.

We look forward to sharing with you a look at the potential of AI in the fight against climate change, and at the same time to learn where AI is already in use today./p>

After the lectures, you will have the opportunity for direct exchange with the speakers and other participants in separate virtual rooms from about 7 pm. Registration is now open, the event language is English.

We’ll be happy to welcome you to the next edition of the AI Monday NRW chapter!

Next up: AI and CLIMATE


Four crisp presentations incl. Q&A. Some speaker also demo their AI solutions. Followed by networking. Due to Corona please bring your own drinks & snacks.


AI curious people, change leaders, businesses with passion for data and disruption.


Share AI-knowledge, exchange and encourage each other on our change journeys.


Please register below to receive details.


NOV 22, 2021
Start at 17:30

(German timezone; until aprox 20:00)

What Not!

No Sales Pitches. No Math lectures or deep tech dives. No shallow consulting or marketing talks.


AI and machine learning in weather and climate modelling

This talk will provide an overview on the use of machine learning in Earth system modelling. We will present opportunities and challenges, as well as specific use cases for machine learning in weather and climate modelling. We will outline how machine learning will be an important component of future developments towards digital twins of the Earth and large projects and initiatives such as Destination Earth.

Peter Dueben

AI and Machine Learning Coordinator, European Centre for Medium-Range Weather Forecasts ECMWF

Johannes Fuetterer

aedifion – applied AI for climate change action in the real estate sector

Buildings account for around 40% of global energy consumption. The EU taxonomy as a derivative of the European Green Deal, the rise in CO2 emission costs and the recent increase in energy prices are leading to growing awareness and action to decarbonise the building environment. This presentation will show how aedifion uses artificial intelligence to reduce the energy consumption and CO2 emissions of commercial buildings using cloud-based platform, analytics and control products.

Johannes Fütterer

CEO & Co-Founder, aedifion GmbH

David Scherf

CoCuRA – Using earth observation and machine learning to identify organic cotton fields

Only 1.5% of global cotton production is certified organic. Yet demand for organic cotton is booming. This requires new, more efficient methods to facilitate the transition to and the certification of organic cotton production. We aim to provide a cost-effective solution by using satellite data and machine learning to automatically detect, map, classify and monitor cotton growing areas.

David Scherf

Managing Partner, Marple GmbH

Lucas Holtz

AI and Energy Storage – Making Batteries Predictable

Today, millions – if not billions – of batteries degrade way too fast. This leads to an unsustainable supply chain, where batteries are retired long before they should be and often end up in landfills. To utilize the full potential of the batteries’ components, they should instead be retired to second life applications to save rare materials. Enabling the extended use of batteries requires monitoring – but a huge challenge is accurate prediction of battery degradation and safety issues. As such, AI and ML have vital roles to play in providing fast, accurate and scalable results.

Lucas Holtz

Data Scientist, ACCURE Battery Intelligence GmbH



The Organizers

Ulrike Daniels

Ulrike Daniels

AI Manager – KI.NRW

Ulrike Daniels works as AI Manager for the competence platform KI.NRW, the central point of contact for artificial intelligence in North Rhine-Westphalia.

Thomas Bischoff

Thomas Bischoff

Co-Founder AICommunityOWL

Thomas Bischoff works in the field of Digital Processes and Solutions at Phoenix Contact GmbH & Co.KG and has initiated the AICommunityOWL to connect AI enthusiasts in the Ostwestfalen-Lippe region.