AIxIA: AI Conference 2020

Artificial Intelligence meets Intelligence Artificielle

3rd December 2020


AIxIA: AI Conference 2020

Artificial Intelligence meets Intelligence Artificielle

After the first successful French-German AI conference in October 2019, with over 300 participants from France, Germany and the world, we are happy to announce that the second AIxIA will take place on 3rd of December 2020.

AI for the environment

This year’s conference will be held online and focusses on the application of Artificial Intelligence for the benefit of the environment!
Climate Change is the biggest challenge of this century. We believe that Artificial Intelligence is a powerful technology that can contribute to a greener world, while at the same time driving economic growth for the benefit of humanity. For this we will present keynotes and talks that centre around this topic.

Join the AIxIA 2020 to learn more about applications of Artificial Intelligence in manufacturing, agriculture, energy, water and resources.



The AIxIA keynotes, talks, discussions and state-of-the art use cases will cover two topics:

AI & Industries

From predicting malfunctions of machines and finding root causes to next-level process automation for production lines – AI technology has led to major improvements in manufacturing. Besides, we see that close human-robot collaboration is in advance. AI can reinforce the collaboration by “humanizing” the robot behavior. At the conference, we will look into how these innovations massively boost business success AND can have a positive environmental impact – the reduction of waste and energy usage are just two examples.
Another aspect that will be covered is AI within the food industry. According to forecasts, humanity will need around 70 percent more food by 2050, than we produce today. AI solutions can help farmers to grow food more efficiently and at the same time in a more environmentally friendly way.

AI & Sustainability

Sustainability is a hot topic. An industry-wide shift is occurring which leads companies to include environmental sustainability goals in their corporate strategies. Companies must be aware of their footprint and what they can do to reduce it. The AI use cases presented in this session focus on these issues with a focus on energy, water, and resources.

Join the AIxIA 2020

Learn more about applications of Artificial Intelligence in manufacturing, agriculture, energy, water and resources.

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  • Sessions

    3rd December

  • Michael Klingel: Network state estimation for the renewable energy transition

    The energy transition is taking place - through the expansion of renewable energies and the market ramp-up of electromobility - in the distribution grid. As a result, power generation is increasingly migrating to medium and low voltage. This dynamic is accompanied by new challenges for distribution network operators: they have to deal with bidirectional power flows and enormous peak loads - and all this with huge network areas. This is only possible with innovative approaches and the inclusion of artificial intelligence!

    Dr. Cyrille Waguet: AI for resilient infrastructures

    Timely maintenance of railway tracks is crucial for resilience, comfort and safety in rail traffic. It increases the acceptance of rail transport and its sustainability. developed a smart monitor for rails which identifies and categorises anomalies on railway tracks by analysing sensor data based on daily train operations. Connected to the operator’s business processes, the resulting digital twin of the tracks keeps the maintenance teams up to date about the rail conditions and their expected evolution.

  • Prof. Dr.-Ing. Gisela Lanza: Artificial Intelligence - The new production manager

    The possible industrial applications of artificial intelligence (AI) are manifold. There are AI systems that perform quality inspection more reliably than humans as well as systems that support engineers in the design phase. Thus, will entire factories soon be managed by AI? Practical examples demonstrate what AI systems can already do, where they are already applied and what limits prevail. Altogether, the new role of production managers will be projected.

    Dr. Hannes Sieling: AI-Enabled Price Markdowns for Groceries in Real-Time

    AI allows retailers to translate business decisions at scale with a high degree of automation. As grocery retailers experience intensifying competition, they need to manage pricing processes for expiring products to balance profitability and waste. Learn how AI enables the full utilization of intraday POS data and real-time decision making to manage markdowns. Markdown pricing contributes to sustainability goals by minimising and controlling waste based on the retailer’s business strategy.

  • Dr.-Ing. Robin Hirt: AI will open up remarkable opportunities by learning from our data. However, we need to ensure that this exact data is kept safe during the process.

    Thomas Mann: AI is the driver of progress of this century - the automation of processes, enabling opportunities for more sustainable prosperity.

    Katia Hilal: The industry desperately lacks historical failure data to train Machine Learning algorithms. Blind failure prediction means we predict equipment failures without historical failure data. Magical? No, we invented scientific methods to generate highly discriminant health indicators from industrial time series.


Contact us for more information:

Josephine Simon

CyberForum e.V.
Innovation & Digital Ecosystems
Telefon 0 721. 60 28 97 – 631

Daniel Walther

FZI Forschungszentrum Informatik
Innovation, Demonstration und Transfer
Telefon 0 721. 96 54 – 702

powered by:

de:hub Karlsruhe

supported by

de:hub Karlsruhe funded by

Initiative Wirtschaft 4.0 BW

Ministerium für Wirtschaft, Arbeit und Wohnungsbau


honored by BMWi

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