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AI in Production: Addressing Critical Challenges with Cutting-Edge Technology

As AI and ML technologies evolve, more companies are looking to enhance their production processes. But where do they stand in adopting these technologies, and what challenges are they facing?

As AI and ML technologies evolve, more companies are looking to enhance their production processes. But where do they stand in adopting these technologies, and what challenges are they facing? These insights come from a survey conducted during one of our recent Digitalization webinars.

 

Watch the full webinar here (in German language) to get detailed insights on whether digitalization delivers what it promises.
 

AI/ML Adoption: Successes and Challenges

According to a recent survey conducted by STIWA during our Digitalization webinar, companies are at various stages of AI/ML adoption:

  • 9% of AI/ML applications have not made it to the active phase
  • 47% have successfuly implemented AI/ML applications
  • 22% currently have no AI/ML plans
  • 22% have plans to implement an AI/ML application

 

Tackling Production Issues with digitalization

The same survey reveals how far companies are in their digitalization strategy:

  • 28% of respondents are on track with their goals
  • 53% are facing one major challenge
  • 19% are facing two or more critical challenges

 

How AI Can Solve Real-World Problems

AI technologies can help companies with predictive maintenance, process optimization, and real-time analytics to solve complex challenges. Whether you’re dealing with inefficiencies or quality control, AI can provide the competitive edge you need.

 

Join Our Expert at the KI-ready Conference (Event in German)

Are you ready to take the next step in solving your production challenges with AI? Join our AI expert, Philip Privalov, at the KI-ready conference on November 6 at K3N Nürtingen (near Stuttgart), Germany. The event will be held in German, and we have a limited number of free tickets available—reach out to us to secure yours!

 

Meet Philip Privalov

Philip Privalov has successfully implemented digitization applications in various industries, from initial strategy workshops to global rollouts. His extensive experience spans across multiple sectors, helping companies improve their processes with cutting-edge technologies.

 

What You’ll Learn:

  • How AI/ML can enhance production efficiency and quality control.
  • Real-world examples of AI-driven success stories.
  • Practical strategies to implement AI technologies in your operations.

 

Don’t miss out! Get in touch with us to claim your free ticket and join us for an exclusive opportunity to gain deeper insights into the future of AI in production.

Watch the full webinar here (in German language) to dive deeper into Digitalization. Every Thursday until the end of November!

Feel free to use our statistics, make sure to tag us!

 

Philip Privalov
Business Development

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