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Manufacturers can tackle production issues by accurately defining problems, using root cause analysis to identify key factors, implementing data-driven corrective actions, and continuously monitoring processes to ensure ongoing improvements and maintain a competitive edge.

Enterprise Resource Planning (ERP) is evolving rapidly with advancements in AI and shifting workforce priorities. Businesses must embrace these changes to enhance decision-making, operational efficiency, and sustainability for a competitive edge.

Medical device companies are adopting APIs to enhance operational efficiency and speed up product development while meeting regulatory requirements. APIs enable seamless data exchange between software systems, streamlining processes like clinical trial data collection and quality management.

FMEA is a crucial tool for anticipating and preventing failures in products and processes, enhancing quality and reliability across industries. Discover how this method can safeguard operations and drive success.

Discover how AI-powered machine vision is revolutionizing manufacturing by streamlining defect detection and enhancing vision-guided robotics, driving efficiency and quality to new heights!

Nicholas Blake of Advex AI explains how synthetic examples can be used to help improve training models, what machine vision offers, and how AI inspection can cut training time down from years to hours.

Rodrigo Perez from MxD discusses the exciting career opportunities in manufacturing. As a manufacturing systems integration engineer at MxD, he shares insights on recruiting the next generation, offers advice for newcomers, and explains the benefits of using digital twins in organizations.

The manufacturing sector is poised for transformation by 2025 through automation and AI to tackle labor shortages. There is also a crucial emphasis on cybersecurity and analytics to future-proof supply chains against ongoing challenges.

A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.

The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.