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Watch the Webinar Recording:
How to Improve Production Quality with AI

Inconsistent production quality can lead to costly product recalls, delayed deliveries, and customer dissatisfaction. Relying on manual inspections often isn’t enough. Learn how AI can help!

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Learn how to start implementing
AI solutions that can save you
from financial and reputational damage.

This is What You Will Learn from the Webinar

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Actionable Strategies for Implementing AI Solutions in Your Factory

Learn how AI can identify defects earlier, reduce waste, and prevent product recalls.
 

Case Studies from Real Manufacturing Operations

See how other manufacturers and industry players have successfully integrated AI to solve quality control challenges.

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Cost-Effective Implementation

Understand how to adopt AI without disrupting your production line or exceeding your budget.

Best Practices for Starting AI Projects on Your Production Line

Get expert guidance on how to avoid the common risks and challenges when implementing AI in manufacturing.

Getting started

Understand what the first step to AI implementation should be. Get expert advice on starting your AI project and setting it up for success right from the start.

Meet Your Hosts:

Marek Tatara, PhD

Marek is an experienced researcher and engineer with over a decade of experience, passionately crafting innovations and inventing new services. He tackles complex problems across the vast realms of AI, embedded systems, computer vision, data fusion, and robotics. Thriving at the intersection of technology and creativity, he transforms abstract concepts into groundbreaking solutions.

Krzysztof Radecki

Krzysztof Radecki is an accomplished executive with extensive experience in business intelligence, data integration, cloud computing and business analytics. He holds a Master’s degree in economics and has worked across various industries and countries. Krzysztof has held leadership positions at renowned organisations such as CGI, Infomotion, and JLL before joining DAC.digital as CTO in 2019.

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