Topic 2021 – 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 2021

Data spaces in AI

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 and with AI

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

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.

Workshops 2021

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.

#1: Resource Optimization – The path from an idea to an AI solution – resource optimization with sensor data

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

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.

#2: AI-Engineering – Karlsruhe Way of AI Systems Engineering

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

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.

#3: Agriculture – How to make tomorrow’s agriculture happen thanks to Artificial Intelligence?

By Gaëlle Chéruy Pottiau CSO of Agdatahub

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.

#4: Energy Transition – The need for AI to accelerate the energy transition

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

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.