Joe Meloche, Business Line Manager for Service at Atlas Copco, discusses the challenges in field services, the 'brain drain' in the industry, and the use of AI to capture tribal knowledge. The podcast delves into visual elements, equipment complexity, automation, workforce adaptation with AI, and proactive approaches in field services.
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Quick takeaways
Field service leaders struggle with talent drain due to retiring skilled workers and increasing equipment complexity.
AI helps service organizations capture and centralize tribal knowledge for improved problem-solving and knowledge retention in field services.
Deep dives
Field Service Challenges: Talent Drain and Equipment Complexity
Field service leaders face challenges due to a talent drain and increasing equipment complexity. With skilled workers retiring and new technologies being integrated into equipment, the industry struggles to fill expertise gaps. The emergence of new customers, such as electric vehicle manufacturers, adds the need for moderate technical support previously handled by frontline staff.
AI Deployment for Tribal Knowledge and Expertise Capture
Service organizations leverage AI to capture tribal knowledge and deep insights from field service experts. The use of AI helps in organizing and extracting valuable solutions from previous problems quickly. By centralizing expertise through AI, organizations aim to retain critical knowledge and improve problem-solving capabilities for complex issues.
Future of Field Service Technicians and AI Adoption
The future of field service technicians involves hiring based on attitude rather than specific expertise. The focus is on customer support and solving high-level technical puzzles, requiring a blend of technical skills and soft skills. AI adoption is expected to become more widespread in field service operations, enhancing efficiency and knowledge management in the industry.
Today’s guest is Joe Meloche, Business Line Manager for Service in North America at Atlas Copco. Joe joins the program to talk about the various challenges facing field service leaders, especially around new equipment obstacles and the multi-decade “brain drain” much of the industry has faced in an ever-changing workforce. Later, he and Emerj Senior Editor Matthew DeMello dive into how service organizations can deploy AI in the form of ‘tribal knowledge’ to best capture expertise and deep insights, especially for large enterprises, where problems are solved locally but not documented systematically. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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