Tackling Challenges, Embracing Opportunities, and Unlocking the Potential of AI in European Manufacturing
Introduction
In today’s fast-evolving manufacturing landscape, adopting advanced technologies like artificial intelligence and robotics is no longer optional—it’s essential. For Emphasis DigiWorld, a leading developer of sensor-based industrial intelligence systems, integrating AI into their operations was key to addressing the challenge of predicting concrete workability in real time without human intervention.
Thanks to their collaboration with AI-MATTERS, Emphasis DigiWorld was able to develop a field-ready, AI-powered solution for predicting concrete workability with high accuracy—accelerating their AI adoption and delivering real-world impact. This is their story.
The Challenge
For Emphasis DigiWorld, the main challenge was developing an AI-powered solution to predict concrete workability in real time, without manual testing or operator intervention. Additionally, they needed support in data engineering, model training and finetuning, and bringing together domain and AI expertise to validate the system under real-world industrial conditions.
“We knew AI could transform how workability is assessed, but bridging the gap between raw sensor data and actionable insights was a challenge”, explains John Stivaros, IoT R&D Engineer, Emphasis DigiWorld.
The Solution
AI-MATTERS provided Emphasis DigiWorld with the resources and expertise needed to overcome these challenges. Through collaborative workshops, tailored technical guidance, and access to a network of domain experts, the team was able to engineer high-quality datasets, develop and refine machine learning models, and validate the solution in realistic field conditions.
“Working with AI-MATTERS gave us the technical support and collaborative space to turn a complex idea into a functional, deployable system,” says John.
The Results
The collaboration between AI-MATTERS and Emphasis DigiWorld delivered tangible outcomes. Some of the key results include:
- ≥90% prediction accuracy with R² = 0.85, in assessing concrete workability using real-time sensor data.
- Low latency and minimal CPU usage, enabling efficient deployment on embedded devices.
- Rapid, non-intrusive field deployment through a wireless device that magnetically attaches to mixing trucks.
“The results we’ve achieved with AI-MATTERS exceeded our expectations. It’s not just about the technology—it’s about transforming how we think about quality control and automation in heavy industry,” adds John.
Looking Ahead
Working with AI-MATTERS has been a significat step for Emphasis DigiWorld in their AI adoption journey. Moving forward, they plan to scale the solution to additional construction sites and explore new AI applications for real-time quality control and predictive decision-making across other materials and processes.
“AI-MATTERS has been a true partner in innovation, helping us navigate the complexities of AI adoption while driving real results,” concludes John.
Conclusion
CASP’s experience illustrates the impact of AI in European manufacturing and the critical role of testing and experimentation in ensuring successful adoption. By addressing key technical challenges through AI-MATTERS, CASP is paving the way for smarter, more responsive production systems.
Recommendations
Emphasis Digiworld’s story demonstrates the transformative potential of AI in European manufacturing. By addressing challenges head-on and leveraging the resources of AI-MATTERS, they’ve paved the way for a future of smarter, more efficient operations.
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