The convergence of artificial intelligence and industrial maintenance represents perhaps the greatest opportunity for operational transformation in decades. Yet many organizations remain paralysed by perceived complexity, cost barriers, and implementation challenges.
Jonathan dismantles these misconceptions through the lens of Bentley's recent AI implementation journey. By focusing on practical applications rather than theoretical possibilities, we demonstrate how organizations of any size can leverage AI capabilities to dramatically enhance maintenance effectiveness without massive investment or specialized expertise.
- Real-World Applications: Examine compelling examples of AI implementation at Bentley that delivered immediate and measurable value
- AI Demystified: Cut through the technical jargon to understand the core AI variants most applicable to maintenance and reliability
- Communication Blueprint: Master the critical messaging required to gain organizational buy-in and support for AI initiatives
- Problem-First Approach: Learn why defining the right problem precedes selecting the right technology
- Model Development: Understand the essential steps for training effective AI models within your specific operational environment
- Expectation Management: Set realistic timelines and outcomes for early adoption periods based on our experience
- Implementation Case Studies: Study tangible examples of AI predictability systems delivering bottom-line results