EDAG Worldwide

    Vehicle Engineering
    br
    Brazil
    cn
    China
    gb
    Great Britain
    it
    Italy
    jp
    Japan
    my
    Malaysia
    mx
    Mexico
    nl
    Netherlands
    se
    Sweden
    pl
    Poland
    ch
    Switzerland
    es
    Spain
    cz
    Czech Republic
    hu
    Hungary
    us
    USA
    Production Solutions
    br
    Brazil
    cn
    China
    in
    India
    mx
    Mexico
    se
    Sweden
    cz
    Czech Republic
    hu
    Hungary
    us
    USA

    tech insights

    Requirements for AI Technology – data, data, data – but it needs to be good!

    The use of AI technologies is a growing trend. Everyone is talking about algorithms, heuristics, statistical models, big data and machine learning. Artificial intelligence and big data are often mentioned in the same breath. AI helps to prepare and analyse large volumes of big data.

    AI enables machines to perform cognitive functions similar to those of humans, to learn from them, and then take expedient action. In this way, data can be analysed and evaluated, and this in turn forms the basis for solving problems. But AI can do so much more. The self-learning system is developing all the time, and adapts its behaviour to what it has learnt, to achieve continuous improvement.

    Big Data on the other hand is a term that describes large volumes of data that need to be analysed so as to provide good results.

    AI und big data – the perfect match.

    AI can be used, for example, for process optimisation or in the development of new components (e.g. in combination with simulations). In the automotive industry, autonomous cars such as the EDAG CityBot would be almost impossible without it. AI is currently changing the the world as we know it.

    One thing is very important: AI loves large amounts of data, and the larger the data, the better AI can analyse and learn. Data quality plays an important role in this partnership. Incomplete or erroneous data must first be corrected manually before it can be used in AI projects.

    The Production IT team at EDAG Production Solutions already has many years’ experience in these technologies, and can look back on a wide range of successful projects. Our smart factory solutions can improve all manufacturing domains. Yours, too.

    Generally speaking, the projects run through three phases:

    1. Operationalisation
    2. Modelling
    3. Implementation

    Good data – bad data. Time and effort make the difference.

    Gute Daten – schlechte Daten. Der Aufwand macht den Unterschied.We have noticed that there is a constantly recurring theme in our projects: the quality of the data. On average, 60% of the implementation time in AI projects is taken up with the manual cleansing of noisy, incomplete or incorrect data.

    This has one major disadvantage: The often painstakingly devised solution is not freely scalable, but must be adapted for each domain, and this involves considerable expense. This means that the fun factor can quickly give way to a certain disillusionment for customers. Poor data quality also increases the number of loops in CRISP-DM (Cross Industry Standard for Data Mining) in individual projects, which also adds to the cost.

    Quality is what counts!

    Any companies that are interested in or already thinking about the use of AI technologies should therefore always ask themselves the honest question: “How good is our data?” Generally speaking, an AI system is only as good as the data on which it is based. It is difficult, for example, to optimise inventory levels if 30 percent of all master data is redundant or otherwise incorrect.

    EDAG Production Solutions presented this subject and the company’s product portfolio at the 15th Digital Factory Congress. Our smart factory solutions can improve all manufacturing domains. This calls for good data, so that our customers can enjoy not only the project, but also the subsequent results.

    Smart Factory Solutions

    Schedule  an Expert  Call >>

    Related Post

    With the IAA Mobility 2021 in Munich at the beginning of September, the rapid changes in the automotive industry and the recent dramatic climate developments, the mobility of tomorrow is more in the public focus than ever before. New technologies, alternative drives, smart city and power grid concepts, the networking of all vehicles and autonomous...

    >> Read more
    Vehicles that navigate their way through everyday traffic on their own, while the driver works on a laptop or relaxes in the back seat: These images are still dreams of the future. Even if no fully autonomous vehicle has yet been approved for use on the roads, car manufacturers are increasingly installing driver assistance systems as standard....

    >> Read more
    In 1927, Charles Lindbergh flew his plane "Spirit of St. Louis" the 5,800 kilometres from New York to Paris in 33 long and lonely hours. Not quite 50 years later, Concorde covered the same distance in an incredible three supersonic hours. Flying is something we take for granted today, and we seldom take the time to appreciate the extremely complex...

    >> Read more
    EDAG Logo

    EDAG

    Kreuzberger Ring 40, 65205 Wiesbaden
    p +49 661 6000-0 f +49 661 6000-223