In-Person Event: Applying AI for Engineering Productivity

AI for Engineering Productivity: discover how to use AI to reduce downtime, solve problems faster and improve engineering decision-making.
About this Event

Event details

AI for Engineering Productivity is rapidly becoming one of the most powerful productivity tools available to engineering organisations. Yet many businesses remain uncertain about where AI can deliver genuine value, where caution is required, and how engineering professionals can use it effectively in day-to-day operations.

Join Dr Steve Mackay for a practical and interactive industry briefing to explore how engineers, technicians and managers can use AI to improve productivity, reduce downtime, accelerate troubleshooting and support better operational decision-making.

Drawing on Steve’s extensive engineering experience and expertise in technology innovation, the session will provide practical insights into how organisations can approach AI adoption effectively and unlock its potential across engineering operations.

This event will focus on:

• How AI can genuinely improve engineering productivity and performance.
• Practical applications for maintenance, troubleshooting, reporting and engineering workflows.
• The risks, limitations and safeguards required when using AI in operational environments.
• How leading organisations are beginning to integrate AI into engineering activities.
• Practical ideas that can be explored and adapted within your organisation.

What to expect:

• Practical Demonstrations: See AI applied to real engineering scenarios including fault diagnosis, troubleshooting, maintenance planning, engineering reporting and technical problem-solving.
• Industry Perspectives: Hear from Dr Steve Mackay as he shares practical engineering applications, AI implementation insights and lessons learned from industry.
• Interactive Discussion: Explore where AI can add value across engineering, maintenance and operational functions, and where human expertise remains essential.
• Networking: Connect with fellow engineering professionals over refreshments and discuss opportunities, challenges and experiences with AI adoption.