

What Smart Manufacturing Leaders Consider Before Adopting AI - with Tim Burge of Aquant
7 snips Jun 12, 2025
Tim Burge, Director at Aquant, shares insights into AI strategies tailored for service teams in manufacturing. He discusses the evolution of AI adoption, highlighting a shift toward hybrid approaches rather than a simple buy-versus-build mentality. Tim emphasizes the importance of aligning AI initiatives with specific business challenges while improving data quality and driving adoption. He also explores how effective leadership and collaboration are essential for navigating the complexities of AI implementation in legacy environments.
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Evolving AI Adoption in Manufacturing
- Manufacturing AI adoption is shifting from a build-versus-buy binary to a hybrid approach blending both strategies.
- Service departments require specialized AI expertise and long-term commitment for effective implementation.
Start AI With Imperfect Data
- Do not wait for perfect data to implement AI; start with available data to improve quality over time.
- Engage frontline technicians and call center staff early to incorporate their expertise and ensure higher adoption.
Engage HR for AI Adoption
- Involve HR and leadership to foster change management and employee buy-in for AI tools.
- Address frontline workers' concerns transparently to overcome resistance and leverage their expertise.