AI Validation Platform
Event recap
On March 20 2025, we hosted an online event focused on AI in manufacturing. MTC's AI experts launched the ground-breaking AI testing and validation service, highlighting how manufacturers can overcome adoption barriers and future-proof their AI solutions. Attendees enjoyed innovative presentations, an immersive panel discussion, and an engaging Q&A session where they had the opportunity to ask questions and share their thoughts. Watch a recording of the session below.
Event themes
Overcome adoption barriers
Attendees gained insights into addressing the challenges of industrial AI adoption. The event showcased how MTC's expert guidance and testing services can help organisations navigate regulatory requirements and validate AI system performance, making it easier to integrate AI solutions into their operations.
Expert insights
Experts discussed the opportunities and risks of AI adoption and the need for rigorous AI solution testing.
Future-proof your AI solutions
The event highlighted how MTC's validation services ensure that AI tools are robust, compliant, and ready for future demands. Participants learned how to enhance their AI solutions to meet industry standards and stay ahead of the competition.
Meet our speakers and panellists
- Dr. Mostafizur Rahman
- Dr. Yazan Qarout
- Steve Morris
- Stuart McLeod
- Ranj Zuhdi - Panellist
- Mike Wilson - Panellist
- Christian König - Panellist
Dr. Mostafizur Rahman
Opportunities and barriers to AI adoption
Adopting AI offers transformative opportunities for businesses, including enhanced efficiency, improved decision-making, and innovative solutions. AI can automate routine tasks, provide valuable insights from data, and create competitive advantages. However, several barriers can impede AI adoption. Hear from Mostafizur as he discusses this vital topic.
Watch recap
Discover more about MTC's AI capability
MTC has been at the forefront of integrating artificial intelligence in manufacturing since 2014. Leveraging advanced technologies like machine learning, deep learning, data analytics, and generative AI, we address critical challenges such as predictive maintenance, quality control, and process optimisation. The result? Smarter, more efficient operations with improved flexibility and quality.
