AI Park Tech Talk shows how companies are using AI in production to transform quality control and create sustainable added value. Using a concrete practical example, you will learn how sensor data and laboratory data can be turned into reliable predictions - and how quality problems can be avoided before they become expensive.

AI Park Tech Talk shows how companies are using AI in production to transform quality control and create sustainable added value. Using a concrete practical example, you will learn how sensor data and laboratory data can be turned into reliable predictions - and how quality problems can be avoided before they become expensive.

Why AI is crucial in production

Companies are faced with the challenge of harmonising quality, efficiency and costs. Artificial intelligence in production offers new opportunities to detect errors at an early stage and optimise processes. With predictive quality assurance, manufacturers can secure competitive advantages and reduce risks.

Practical example: From data set to predictive quality

Aleksander FegelCEO of Ailioshows a real-life project with a global market leader for plant-based ingredients. It demonstrates how AI was used in production to combine sensor data and laboratory data. The result: reliable predictions that identified quality problems at an early stage and significantly reduced costs.

Best practices for successful AI projects in production

The introduction of AI in production is best achieved with tried-and-tested procedures:

• Clear target definition and focussed project planning

• Risk minimisation through small, scalable steps

• Rapid value creation through practical use cases

• Interdisciplinary collaboration between production, IT and management

What you will take away from the Tech Talk

Participants gain practical insights:

• How leading manufacturers are using AI for predictive quality today

• Best practices for implementing AI projects with low risk, focus and speed

• Real results, lessons learnt and a roadmap for your own projects

Ailio: Data and AI projects from idea to production

Ailio is a data science and AI service provider specialising in customised end-to-end projects. From brainstorming to productive application, Ailio relies on fast "lighthouse" processes and proof-of-concepts. With over 100 successfully implemented projects, its customers include companies such as Ingredion, Edeka, Siemens, Dr Oetker, T.Com, Conrad and BASF - leading players in mechanical engineering, manufacturing, the process industry, retail and chemicals.

KI Park: Innovation ecosystem for applied AI

KI Park is a network of over 250 companiesstart-ups, research institutions, technology partners and social and political stakeholders. The aim is to advance the development and application of AI. The ecosystem enables its members to build up and exchange knowledge, explore trends, drive ideas forward and successfully implement specific projects. Together we bring AI into application. 

Event details & registration

📅 Date: 9 October 2025
🕚 Time: 11:00-12:00
💻 Location: Online via Microsoft Teams
🗣️ Language: in English

Register now and secure your place at the KI Park Tech Talk: Industrial AI for predictive quality: How to ensure successful projects!