International Conference AI in PRODUCTION

09/24 until 09/25/2019 in Hannover

AI solutions in production

  • Überblick

    The age of artificial intelligence has dawned and many companies are already using self-learning and semi-autonomous systems. AI is becoming the decisive global competitive factor for manufacturing companies in Germany.

    The implementation of AI in production presents all participants with completely new challenges, which must be mastered in the future and tackled today.

    The new conference “AI Solutions for Production” is aimed at all those responsible for turning AI into technical reality in an economically viable way. Here you can find out – beyond buzzwords – what is already feasible today and what will be possible tomorrow.

    Get to know already implemented AI solutions from world market leaders, meet like-minded people and discuss opportunities, limits and risks with the experts on site.

    As a beacon event, the conference shows the current state of the manufacturing industry in Germany on the subject of AI. The aim is to meet the needs of small and medium-sized enterprises, in particular for technology dynamics and sensitization to the topic of AI. Practical applications will be shown.

    The topics of the conference are aligned to the essential questions of the industry, which arise with the planning and conversion of KI projects:

    1. Status of AI in Production in Germany and International

    • What is AI, when does AI even make sense?
    • Goals, benefits and possibilities for using AI in production
    • International comparison of Germany, market overview and application examples
    • Status of the AI in politics, research and industry


    2. Implementation of AI in production

    • Data collection, strategy and approach
    • Identification of suitable use cases and pilot projects
    • Make or Buy Decisions, What role do Start-Ups play?


    3. AI and personnel: education and training

    • Up-skilling/self-learning systems
    • Education and training worldwide
    • Impact of AI on the education system


    4. AI and Infrastructure: Cloud, Data Management, Certification and Legal Status

    • Cloud-based AI
    • Data acquisition and data management
    • Legal bases, e.g. AI and IP addresses, legal framework and perspectives
    • Certification in production


    5. Use Cases: AI- Best Practice and Success Factors

    • Machine learning in production
    • Predictive Maintenance and Condition Monitoring
    • Smart assistance systems
    • Robotics and automated production systems


    We are looking forward to your participation!

    target group

    • Managing Director, CEO, CIO, CDO
    • Head of Technology, Production and Manufacturing Planner
    • Work and Operations Managers – Data Scientists, Data Analysts
    • Product manager, development manager
    • Sales Manager, Head of Service, Logistics, Assembly
    advisory board
    Dr. Ralf Brunken

    CIO IT, Skoda

    advisory board
    Dr. Kai Engel

    Partner and Managing Director Germany, A.T. Kearney - Operations/Innovation Expert in Discrete and Process Industries

    advisory board
    Dr.-Ing. Volker Franke

    Managing Director HARTING Applied Technologies GmbH

    advisory board
    Dr. Guido Hertel

    Partner and Managing Director at A.T. Kearney GmbH

    advisory board
    Gerald Pörschmann

    Managing Director, Mechanical Engineering Future Alliance

    advisory board
    Prof. Dr.-Ing. Martin Ruskowski

    Head of Research Department Innovative Factory Systems, German Research Center for Artificial Intelligence (DFKI)

    advisory board
    Andreas Strutz

    Head of Training and Further Education, Volkswagen Academy, VW AG

    advisory board
    Dr. Christian Teutsch

    Lead Principal of Digitalization Strategy, Huawei Weilheim Manufacturing Technology Center

    key topics

    • Machine learning in production
    • Predictive Maintenance and Condition Monitoring
    • Smart assistance systems
    • Smart Data Analyses / Industrial Analytics
    • Robotics and automated production systems
    • knowledge processing
    • AI in logistics, service etc.
    • Implementation of AI in personnel, training


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