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How a software facilitates the start of the AI Marketplace
How can a software help the AI Marketplace succeed? Ventecon has been a partner in the project since the end of April and is taking a close look at the market for AI.
Interview: AI for product development – recipe for success of the AI Marketplace
What is behind the term product creation, and why is AI of high importance in this process? Marc Foullois, research associate at Fraunhofer IEM, has the answers.
? IDSA LIVE SESSION
During the IDSA LIVE SESSION, four experts will provide information on the topics of artificial intelligence, digital platforms and Business 4.0. The AI Marketplace is also part of the program.
AI Marketplace: These are the seven pilot projects
At the kick-off on February 25, 2020 at the Heinz Nixdorf Institute, seven partners will for the first time provide insights into their pilot projects on AI in product creation.
Strong partners from industry and research are therefore working on a digital marketplace for artificial intelligence in product development. On this platform, users, providers and experts for AI can exchange information, place products and receive solutions on a secure platform. Become part of the AI marketplace and open up the possibilities of AI for your product development.
The project of Westaflex in cooperation with the Fraunhofer IEM focuses on an AI application that helps to optimize the sequence planning of production orders. For this purpose, real-time data from production control as well as from machines are to be evaluated in order to extract hints for optimal machine allocations.
Road sign, tree or human? In order for independently driving cars to perceive their surroundings, large image and video data must be evaluated and objects such as signs, trees or pedestrians must be precisely marked. The marked data is used to train an algorithm applied in autonomous driving. The aim of the project with HELLA Aglaia and the Fraunhofer IEM is to develop a solution for the analysis and annotation of video data as well as the training and validation of neural networks for AI applications.
A set-up process in an automated manufacturing process that is optimized with the help of AI and replaces the previously manual “teaching” – this is the core of a project by düspohl Maschinenbau GmbH and the Fraunhofer IEM. In addition, the probable producibility of new product specifications is to be assessed automatically.
Artificial Intelligence has the potential to fundamentally change the way we work and operate. CLAAS GmbH & Co. KGaA, an internationally active manufacturer of agricultural machinery, has recognised this potential and is testing a special use case for the integration of AI in Computer Aided Design (CAx) in the AI marketplace together with the Fraunhofer Institutes IEM and IPK.
How can service technicians be optimally supported? A pilot project by Diebold Nixdorf Systems together with Fraunhofer IOSB-INA is dedicated to this question. The aim is to develop an AI application that reads and analyzes service and sensor data from ATMs in the field. Based on this, differentiated repair instructions for service technicians are to be generated. An existing service platform will serve as a database.
The goal of Ubermetrics’ project is an AI application that extracts relevant information from unstructured or semi-structured texts (e.g. online ratings, complaint emails, service reports, complaint reports), analyzes it and makes it systematically available to a developer. The application can be used, for example, in the context of targeted optimization of system components.
At present, vehicle diagnosis in a workshop requires comprehensive automotive knowledge and involves a great deal of work. Hella Gutmann’s aim is therefore to develop an AI application for AI-supported diagnosis and identification of potentially defective vehicle components on the basis of historical vehicle data (e.g. fault codes or sensor readings) and to integrate a further variety of data sources (e.g. invoice data, repair information etc.).
A network of strong partners
The AI Marketplace project is funded from January 2020 to December 2022 in the Innovationscompetition "Artificial intelligence as a driver for economically relevant ecosystems" of the Federal Ministry of Economics and Energy (BMWi).