Innovation

Perfect Match: AI meets IoT

AIoT Benefits EN

Bringing intelligence to your production

Are you looking to push the quality of your products to the top, make your processes more efficient, reduce rejects and failures and increase profits in the process? If so, it’s time for you to start thinking about the smart factory. We mean it. But how? Thanks to our innovative combination of AI + IoT, resulting in Artificial Intelligence of Things (AIoT), we are able to offer, together with our AI partner Sentian, an elaborate 5-step scenario to assist companies in optimizing their manufacturing and operating processes holistically and sustainably. We call this: Intelligent automation.

Need concrete examples?

Read our whitepaper to learn how companies in the pharmaceutical, energy and paper production industries are seizing an opportunity for greater efficiency, quality and revenue thanks to AIoT. Take inspiration from sensor manufacturer JUMO, which itself has succeeded in increasing the proportion of its “highest quality” sensors by 8% – the equivalent of a 20% improvement in quality.

Benefits

Your opportunities with AIoT

25% increased
productivity

through AI-based process and quality improvement using the example of a car manufacturer (source: IBM)

5-20% lower labor costs

for quality control with AI using the example of an electronics manufacturer (source: IBM)

3-30% higher production efficiency

thanks to intelligent automation with AI + IoT = AIoT (source: McKinsey)

Use Case

JUMO

Challenge

JUMO, a sensor manufacturer based in Fuldau, Germany, had recognized that small but significant fluctuations within its production process led to discrepancies in the quality of the manufactured sensors. Faulty and low-classified sensors were eating into the company’s earnings.

Solution

With the aid of an AI system, production settings for each batch were adjusted to reduce even the most minor discrepancies in sensor precision. Due to the small amount of data per batch, a special imputation model with its own architecture was developed to fill any data gaps. New information can now flow in automatically after each sensor batch, optimizing the prediction model. In this way, the AI-based software used at JUMO has developed dynamically and continuously with the production system.

“In 10 to 15 years, artificial intelligence will be in every production process. It can reduce energy consumption in the chemical industry, cut waste in the pharmaceutical industry, handle variation in paper production or optimize production lines in discrete manufacturing. For example, we have succeeded in increasing the proportion of "highest quality" sensors at JUMO by 8%. This results in a quality improvement of 20%."
Martin Rugfelt
CEO, Sentian.ai

Video

Our AloT approach in 90 seconds

Insights

What does an AIoT project look like?

You don’t know where your greatest potential lies or if your data base is sufficient? No problem. We will advise you right from the very first idea phase, screening your processes for possible optimization. Our integrated AIoT approach comprises a total of 5 steps with which we accompany companies on their way to intelligent production – away from individual solutions and towards a holistically optimized smart factory.

AIoT 5 steps

Become an AIoT pioneer

Martin Dimmler
Martin Dimmler
AIoT contact

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