Industrial AI for Predictive Quality: How to Deliver Projects That Work

Industrial AI for Predictive Quality: How to Deliver Projects That Work

Join us for a new edition of KI Park Tech Talks to learn how Industrial AI is transforming quality control in real industrial environments, and what are the best practices of delivering such projects so it produces value quickly.

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 turned into powerful predictions, catching quality issues before they became costly problems.

You’ll walk away with:

• How leading manufacturers are using AI today for predictive quality.
• 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.

Whether you’re running the business strategy, industrial operations, or AI implementation, you’ll leave with practical insights you can use for your own projects.

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Ailio
Ailio is a data science and AI service provider specializing in custom, end-to-end AI and data projects that move from ideation to production through fast “lighthouse” or proof-of-concept processes. With more than 100 projects completed, their clients include Ingredion, Edeka, Siemens, Dr. Oetker, T.Com, Conrad, BASF and other leaders in mechanical engineering, manufacturing, process industries, trade, retail, and the chemical sector.

KI Park
KI Park is an association of over 250 companies, start-ups, research institutions, technology partners, and social and political actors, dedicated to advancing the development and application of AI. Our innovation ecosystem enables its members to build and exchange knowledge in the field of AI, explore current and future AI trends, drive ideas forward, realise AI projects and overcome their challenges together. Together, we successfully bring AI into application. For more information visit www.kipark.de .