AIxIA: AI Conference 2021

Artificial Intelligence meets Intelligence Artificielle

Thank you for being part of the French-German conference on the application of AI 2021!

On November 18th and 19th 2021 AIxIA took place for the third time – the second time completely digital due to COVID-19. It attracted more than 200 participants from 8 countries and hosted top-class keynotes, workshops and networking sessions.

We especially want to thank our Keynote speakers Eran Kravitz, CTO and Co-Founder of Shopic and Cameron Schuler, Chief Commercialization Officer & Vice President, Industry Innovation at the Canadian Vector Institute.

We hope you enjoyed the two days filled with use cases, keynotes, political impulses and networking – all around the topic of „Artificial Intelligence of Things“!

See below for more information on the program and speakers.

Topic

AI of Things

You call it AIoT – Artificial Intelligence of Things – when Artificial Intelligence meets the Internet of Things. Combining these two technologies opens a wide range of opportunities for companies to innovate and digitize their existing systems. While IoT provides an enormous amount of data from connected devices, AI quickly extracts real-time insights from this data. This allows companies to make informed decisions without human interference. According to Gartner, more than 80% of enterprise IoT projects will include an AI component by 2022. Today, only 10% use the combination of IoT and AI.
In 2021, AIxIA brings this topic closer to you and provides you with impulses on how to combine the two technologies to have a positive impact on your business.

Sessions

Data spaces in AI

By Prof. Dr. Ali Sunyaev Professor at KIT and Director of the Institute of Applied Informatics and Formal Description Methods (AIFB), Sébastien Picardat General Manager at Agdatahub

Data is an essential resource in the 21st century. It is not only important for economic growth, competitiveness, and innovation, but also for society since it can for example improve health care or create safer and cleaner transport systems. For this reason, the European Commission created a data strategy. On top, other initiatives such as the International Data Spaces got formed. They aim to create a secure data space that supports enterprises of different industries and sizes.

Cybersecurity for AI and with AI

By PD Dr.-Ing. Ingmar Baumgart Manager Competence Center for IT Security at FZI Forschungszentrum Informatik, Ralf Haubrich co-CEO inlyse GmbH

The implementation of AI in cybersecurity is both a help and a hindrance. By using machine learning algorithms AI detects threats automatically and fights them without the involvement of humans. Supporting handling huge quantities of security data or identifying threats in the system are just some of the advantages. But it can also open new doors for security vulnerabilities. For this reason, it is essential to work with experts when it comes to cybersecurity.

Edge AI

By Julius Pfrommer Dr.-Ing. Julius Pfrommer, Group Leader Cyberphysical Distributed Systeme at Fraunhofer-Institut IOSB , Dr. Robert Pesch Head of Data-Driven AI Solutions at inovex GmbH, Fabian Meyer Working Student Data-Science at inovex GmbH

Edge AI is the combination of edge computing and AI. It is a concept where AI algorithms are installed on a local device that has edge computing capacity. With edge AI, users can process data in real-time since it does not require systems to connect to others. Therefore it is also used for high sensible data. Typical application fields are autonomous cars, surveillance and monitoring, and the Industrial IoT.

Get Impulses

You want to know what is possible with AI, how you can implement AI and what you need to use it successfully? At AIxIA you will get inspiration, tips and learn everything about the latest AI trends.

Network with experts


Take the opportunity to talk about your ideas and challenges with AI experts from Germany and France. The next cooperation might wait around the corner!

Start your AI project

Move your business forward by starting your AI project now. The AIxIA workshops give you the chance to work with AI experts on first ideas.

Workshop Day

In a total of four workshops, which will be supervised by French and German organizations, we want to dive deeper into the topic of this year’s AIxIA, AI of Things – in a very practical way. Hands-on is the keyword, participants will be involved, can contribute their specific questions and problems and get direct feedback from experts. The workshops will take place in parallel breakout sessions. Sufficient time is given to get to know each other and to deepen the topics. Finally, there will be enough time to present the most important findings, to meet – at least virtually – and to launch potential cross-border collaborations.

Workshop 1: Resource Optimization

By Niclas Hörmann Consultant Data Science, esentri AG, Matthias Wurdig Senior Consultant Data Science, esentri AG

The path from an idea to an AI solution - resource optimization with sensor data

In our workshop, you will learn the typical procedure from the identification of a use case to the planning and implementation of an AI project based on sensor data from mechanical engineering using an industrial example. We will interactively work out how to analyze the business model, plan and set up the IT infrastructure, gain real added value from the analysis of sensor data with the help of AI and create a data-driven solution from this.

Workshop 2: AI-Engineering

By Thomas Usländer Head of Information Management and Production Control, at Fraunhofer IOSB

KI-Engineering – Karlsruhe Way of AI Systems Engineering

This workshop covers the core elements of the emerging discipline of KI Engineering in direct contact and discussion with its authors. KI-Engineering is the Karlsruhe way of AI Systems Engineering and addresses the systematical development and operation of AI-based solutions as part of systems that master complex tasks. One core part of the workshop is to get insight knowledge about PAISE, the Process Model of AI Systems Engineering, and its associated methods and tools. Short tutorials are combined with training exercises of mobility and production use cases.

Workshop 3: Agriculture

By Gaëlle Chéruy Pottiau CSO of Agdatahub

How to make tomorrow's agriculture happen thanks to Artificial Intelligence?

Increasingly digitalized, agriculture is generating a considerable amount of data to feed artificial intelligence models. At the service of farms to ensure their economic performance and enable them to limit their environmental impact, data and AI are now essential subjects for the stakeholders in the agricultural sector. This workshop will be about existing initiatives and the issues surrounding data and AI applied to the agricultural sector.

Workshop 4: Energy Transition

By Lisa Kratochwill Senior Expert Digital Transformation of the Energy System , German Energy Agency at DENA

The need for AI to accelerate the energy transition

AI has tremendous potential to speed up the clean energy transition: potential applications range from enabling high penetration renewable energy power systems, Supporting the decarbonisation of industrial processes, to supporting the mass-roll out of electric vehicles. The workshop will focus in identifying the most promising AI applications and collecting recommendations to overcome barriers and support collective action to increase scale and impact.

What can you expect?

Exciting insights into innovative uses of technologies in a wide range of areas, direct exchange and collaboration with experts, and the opportunity to contribute your own questions and problems.

What do we expect?

You should have a basic technical understanding of the topic in question and be keen to participate in a workshop in a small group.

Keynote

Eran Kravitz

CTO & Co-Founder at Shopic

Keynote I

AI in the Aisle: Re-imagining Grocery Shopping

The world’s largest retailers use computer vision and data analytics to deliver personalized, frictionless and fun shopping experiences.
Born with a true passion for technology, Eran started programming when he was just 9 years old, teaching himself with books and online resources. He completed his Bachelor’s degree in Computer Engineering at the University of Maryland at the age of 19 (summa cum laude), and then joined the technological unit of the Israeli Intelligence Corps (8200). During his service he completed his Master’s degree in Computer Science at Tel-Aviv University.

Before co-founding Shopic in 2015, Eran led large teams of developers in C4-Security (acquired by Elbit Systems).


Cameron Schuler

Chief Commercialization Officer and VP, Industry Innovation at Vector Institute

Keynote II

How Reinforcement Learning can be applied to IOT

Cameron Schuler is the Chief Commercialization Officer & Vice President, Industry Innovation at the Vector Institute. He is the former Executive Director of Amii (amii.ca), where, for 8 years, he led one of the top-ranked Machine Learning and AI groups in the world. Cameron’s multifaceted career has covered finance, business & product development, consumer products, IT and general management from start-ups to mature companies. His industry experience includes Alternative Energy, Banking, Consumer Products, Information Technology (Consumer and Enterprise), Investment Sales and Trading, Life Sciences, Manufacturing, Medical Devices, Oil & Gas, and Oil & Gas Services. Roles have included COO, CFO, President and CEO and he was COO & CFO of a food manufacturer whose products lead to sales of over 250 million units.

He has founded numerous start-up companies (including medical devices as well as computer software & hardware). Cameron is Chair & Co-founder of PFM Scheduling Services, was Managing Director & Co-Founder of Schuler Law Group, a boutique tax planning law firm and spent 8 years in investment sales & trading. He attained an MBA from Queen’s University and completed numerous investment management programs.


Speakers







 

Hosts

Gaëlle Pinson
General Manager at Hub France IA

Gaëlle Pinson is General Manager at Hub France IA and as such fully aligned with the Hub’s ambition to develop a European AI model for business and society. She started her career in the Prime Ministers administration DATAR dedicated to spatial planning dealing with clusters and innovation policies. She was then responsible for the digital project of the new metro Grand Paris Express, with Minister Christian Blanc when the law was drafted, later in the implementation phase at Société du Grand Paris, where she initiated the data project. She also created a start-up on long time digital archiving based on glass. She is always keen in strongly promoting European projects, including French-German ones.

 

Gennadi Schermann
Head of Digital Innovation Center (DIZ)

Gennadi Schermann is running the department of Innovation and Digital Ecosystems at CyberForum e.V. as well as the Digital Innovation Center – a joint venture of CyberForum, FZI Forschungszentrum Informatik and KIT Karlsruhe Institute of Technology. Digital Innovation Center (DIZ) is a statewide contact point for digitalization, artificial intelligence and cybersecurity. The Digital Hub applied AI/de:hub Karlsruhe ist coordinated by the DIZ. Mr. Schermann studied industrial & business engineering at Karlsruhe Institute of Technology (KIT) and Lappeenranta University of Technology in Finland. He gained his international experience during his professional stations at the South East Research Center in Thessaloniki (Greece), at the Deutsche Postbank in Bonn (Germany) and CAS Software AG in Karlsruhe (Germany) as well as at the Lenovo Technology Co. in Shanghai (China).

Stay tuned!
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Greeting

Winfried Kretschmann

has been Minister-President of the State of Baden-Württemberg since May 2011. He cultivates a new style of politics and has set himself the target of implementing a process of ecological and social renewal in the State. Politically active since his time as a student, Kretschmann and other like-minded associates founded The Green Party in Baden-Württemberg in 1979. One year later, Winfried Kretschmann became a member of the first parliamentary group of The Green Party to be elected to the State Parliament of Baden-Württemberg. In 1986, he was appointed by Hessen’s Minister of the Environment Joschka Fischer as a policy advisor to the first Green Party Ministry of the Environment. After two years in Wiesbaden, he returned to the Baden-Wurttemberg State Parliament in 1988, where he has remained ever since with only one period out of office. In 2002, Kretschmann was elected Chairman of the Green Party in parliament which he remained until 2011. On May 12, 2021, Winfried Kretschmann was elected for the third time as Minister-President of Baden-Württemberg in the State Parliament.


Greeting: Winfried Kretschmann (pdf)
Minister-President of the State of Baden-Württemberg.

Schedule

Expand All +
  • Conference Day 18.11.2021


  • Workshop Day 19.11.2021


  • The world’s largest retailers use computer vision and data analytics to deliver personalized, frictionless and fun shopping experiences.

  • The French Health Data Hub, a national data space for health innovation


    The Health Data Hub (HDH) is a “public interest group” created by French Law on July 24, 2019 and officially established by order of November 30, 2019, following the Villani report "AI for humanity". The HDH ensures easy and unified, transparent and secure access to health data for public interest research projects, aimed at improving the quality of care and patient support. With its state of the art, highly secure and scalable technological platform, the HDH enables public interest project leaders to mobilise very large data sources, to cross-reference them, and to run complex algorithms. Emmanuel Bacry will present the data space developed by the Health Data Hub and will talk about some of the 50 ambitious projects currently supported by the HDH and contributing to finding tomorrow's solutions to improve all citizens’ health.

    Federated Machine Learning in Healthcare and Intralogistics


    Training machine learning models requires large amounts of data. Sharing data for larger datasets raises privacy concerns, which has proven to be challenging in practice. A new technique, Federated Learning (FL), can help to overcome this dilemma: training is done locally, and only model parameters are uploaded to a central server.

  • Cybersecurity in the Internet of Things: Is AI our savior?


    Our environment is increasingly being shaped by embedded systems that are connected to each other via the Internet and form the so-called Internet of Things. However, due to the increased connectivity, the risk of cyber-attacks on these systems is huge. Therefore, new solutions are urgently needed to protect these systems from cyber-attacks. This talk will give some insights whether new AI approaches will help to ensure the security of the future Internet of Things.

    Protecting the AI: cybersecurity challenges in AI supported applications


    The more we rely on an AI's help, the more fatal becomes a manipulation of its outcome, be it by polluting the training data, or by tampering with the classification. Protecting the AI becomes even more important if sensitive data is involved, as is the case in a medical diagnosis. This talk discusses cybersecurity challenges of AI applications, with focus on critical infrastructure like the medical sector.

    AI in malware detection


    A revolutionary way of malware detection, Combination of intelligent image recognition mechanisms & self-learning neural networks

  • Mirko Ross

    Extortion, data theft, sabotage - when cybercriminals hijack devices on the Internet of Things, the consequences can be devastating. The risk for companies is high, because industrial IoT devices are preferred targets for cyber attacks. Security vulnerabilities due to a lack of updates play a central role in this. To make the Internet of Things more secure, the Stuttgart-based start-up asvin.io has developed a solution that secures and monitors the software lifecycle from development and distribution to operation on devices.

    Marius Bleif:

    Bitahoy develops a cybersecurity solution for smart home appliances. The Bitahoy Watchdog can be plugged into any home network to monitor and protect all your internet connected devices. The Watchdog contains an intrusion prevention system that can detect and block network attacks in real-time without configuration. The system further provides the user with additional tools to preserve their privacy and security in their digital home, such as filtering malicious or inappropriate content.

    Sebastien Garcin:

    YZR's SaaS platform, dedicated to non technical business analysts and data workers, helps data teams to automate their data preparation processing. Our proprietary AI and ML based tool is specialised in 3 fundamental tasks : standardisation, labelling and matching. With YZR, business teams easily automate data quality tasks. YZR makes data projects possible : smart analytics, sales forecasting, better consumer experience, and more.

    Dr. -Ing. Duc Tam Nguyen

    The AI startup from Karlsruhe "Aimino Tech GmbH" improves data quality to create more robust and powerful AI systems. We provide data tools to generate new images and videos for Computer Vision Use-Cases. Consequently, data scientists can maximize the economic value of their AI systems in their business cases.


  • The Challenges of AI at the Edge – Towards a Systematic Discipline for AI Systems Engineering


    Many AI systems that interact with “physical reality” fail or get stuck after initial prototypes and before large-scale deployments. Changing this situation is the goal of the Competence Center KI-Engineering (CC-KING). The talk uses actual industrial AI applications to showcase the challenges commonly encountered for AI at the Edge. The talk concludes with current results to overcome these challenges and to establish the use of AI in complex systems as a systematic and dependable engineering practice.

    Edge AI, a new battleground for AI and opportunity for European manufacturers


    In this presentation, we will examine how Edge AI technology can help European manufacturers leverage the value brought by AI technology without necessarily depending on cloud-based AI technologies and therefore without sharing their data with there.

    Anomaly Detection and Natural Language Processing in Wastewater Management


    Small and medium-sized enterprises must continue to drive digitalisation in order to remain competitive. The Industrial Internet of Things (IIoT) enables companies to gain live insights into their equipment processes and to detect impending failures or anomalies at an early stage. Furthermore, information retrieval and natural language processing (NLP) approaches support field technicians retrieving relevant documents and initiating optimal repairs. In collaboration with KROHNE, the leading manufacturer of process measurement technology, and the Service-Meister research project, we develop a solution that links water management to the Internet of Things (IoT) and also enables field technicians retrieving most relevant documents and initiating optimal services and repairs.

    Life-ready AI is here


    At GML we are in the business of life-ready AI. Artificial Intelligence that feels far from artificial. Brain inspired chips that respond like humans do. GML is proud to be unveiling a future where artificial meets reality with its GrAI VIP (Vision Inference Processor). A ground breaking chip that acts and reacts in real-time, ready for life.

  • To make the workshops more efficient, participants will be invited to fill in a short survey some days before. This will allow collecting information on the participant’s field of activity and interests in regard of the course and outcome.
    Some of the experts will use mural.com for collecting and organising the work in progress during the sessions.

  • The path from an idea to an AI solution - resource optimization with sensor data


    In our workshop, you will learn the typical procedure from the identification of a use case to the planning and implementation of an AI project based on sensor data from mechanical engineering using an industrial example. We will interactively work out how to analyze the business model, plan and set up the IT infrastructure, gain real added value from the analysis of sensor data with the help of AI and create a data-driven solution from this.

  • KI-Engineering – Karlsruhe Way of AI Systems Engineering


    This workshop covers the core elements of the emerging discipline of KI Engineering in direct contact and discussion with its authors. KI-Engineering is the Karlsruhe way of AI Systems Engineering and addresses the systematical development and operation of AI-based solutions as part of systems that master complex tasks. One core part of the workshop is to get insight knowledge about PAISE, the Process Model of AI Systems Engineering, and its associated methods and tools. Short tutorials are combined with training exercises of mobility and production use cases.

  • How to make tomorrow's agriculture happen thanks to Artificial Intelligence?


    Increasingly digitalized, agriculture is generating a considerable amount of data to feed artificial intelligence models. At the service of farms to ensure their economic performance and enable them to limit their environmental impact, data and AI are now essential subjects for the stakeholders in the agricultural sector. This workshop will be about existing initiatives and the issues surrounding data and AI applied to the agricultural sector.

  • The need for AI to accelerate the energy transition


    AI has tremendous potential to speed up the clean energy transition: potential applications range from enabling high penetration renewable energy power systems, Supporting the decarbonisation of industrial processes, to supporting the mass-roll out of electric vehicles. The workshop will focus in identifying the most promising AI applications and collecting recommendations to overcome barriers and support collective action to increase scale and impact.

Stay tuned for more information coming soon!

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Contact us for more information:

Josephine Simon

CyberForum e.V.
Coordinator Digital Hub Applied AI Karlsruhe
Telefon 0 721 60 28 97 – 631
Email: dehubai@diz-bw.de
https://digitalhub-ai.de/en/

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