KI Park Tech Talk: Industrial AI for Predictive Quality: How to Deliver Projects That Work
Learn how manufacturers are applying Industrial AI to improve quality control, reduce risks, and deliver fast business value.
Industrial AI and Predictive Quality in Manufacturing
Join us for a new edition of KI Park Tech Talks to learn how Artificial Intelligence is transforming quality control in real industrial and manufacturing environments.
Discover how leading manufacturers use predictive quality analytics, smart factory solutions, and AI-driven quality control to detect issues before they become costly problems.
Aleksander Fegel, CEO Ailio will walk you through a real-world project of a global leader in plant-based ingredient solutions, where sensor and lab data were transformed into powerful predictive models that improved product quality and prevented costly quality issues.
You’ll walk away with:
How leading manufacturers use AI in production and quality control today
Proven best practices to run Industrial AI projects with low risk, focus, and speed.
Real results, lessons learned, and a roadmap you can apply to your own projects.
This event is designed for:
Manufacturing leaders looking to improve operational efficiency
Industrial operations managers seeking predictive maintenance and quality solutions
Business strategists exploring Industry 4.0 technologies
AI professionals delivering real-world industrial projects
Whether you are driving business strategy, managing industrial operations, or implementing AI, you’ll leave with practical, actionable insights for your own projects.
Learn how manufacturers are applying Industrial AI to improve quality control, reduce risks, and deliver fast business value.
Industrial AI and Predictive Quality in Manufacturing
Join us for a new edition of KI Park Tech Talks to learn how Artificial Intelligence is transforming quality control in real industrial and manufacturing environments.
Discover how leading manufacturers use predictive quality analytics, smart factory solutions, and AI-driven quality control to detect issues before they become costly problems.
Aleksander Fegel, CEO Ailio will walk you through a real-world project of a global leader in plant-based ingredient solutions, where sensor and lab data were transformed into powerful predictive models that improved product quality and prevented costly quality issues.
You’ll walk away with:
How leading manufacturers use AI in production and quality control today
Proven best practices to run Industrial AI projects with low risk, focus, and speed.
Real results, lessons learned, and a roadmap you can apply to your own projects.
This event is designed for:
Manufacturing leaders looking to improve operational efficiency
Industrial operations managers seeking predictive maintenance and quality solutions
Business strategists exploring Industry 4.0 technologies
AI professionals delivering real-world industrial projects
Whether you are driving business strategy, managing industrial operations, or implementing AI, you’ll leave with practical, actionable insights for your own projects.
