Applying AI for Engineering Productivity

Artificial Intelligence is rapidly becoming one of the most significant productivity tools available to engineering organisations. Whilst there is considerable discussion surrounding AI, many engineering businesses remain uncertain about where it can be applied effectively, where it should be avoided, and how engineering professionals can use it safely and productively in their day-to-day work. This practical and highly interactive briefing demonstrates how engineers, technicians, supervisors and managers can apply AI immediately to improve maintenance effectiveness, reduce downtime, accelerate troubleshooting, improve reporting, support engineering design activities and increase operational productivity. Rather than focusing on theory, participants will work through practical engineering examples drawn from industrial plants, utilities, manufacturing facilities, mining operations and infrastructure projects. The session includes demonstrations, discussion, audience interaction and practical exercises designed to ensure attendees leave with ideas they can immediately apply in their workplace. Key takeaways from this webinar: Gain confidence in using AI within engineering environments. Understand both the opportunities and limitations of AI. Learn practical techniques that can be applied immediately. Improve engineering productivity and effectiveness. Better understand future engineering skill requirements. Develop a practical roadmap for AI adoption within their organisation. Presenter: Dr. Steve Mackay, EIT’s Dean of Engineering Dr Steve Mackay is a Chartered Professional engineer, entrepreneur, educator and international speaker with more than four decades of experience working with engineers, technicians, tradespeople, operators, supervisors and managers across a broad range of industrial sectors. His engineering career has involved extensive work in industrial automation, electrical engineering, maintenance, manufacturing, mining, utilities, infrastructure and technology-based organisations. Throughout this time, he has focused on helping engineers and organisations solve practical engineering problems and improve operational performance. He currently serves as Managing Principal of the Engineering College of Technology (ECT) in the United Kingdom and has spent the last several years investigating and applying Artificial Intelligence across engineering, maintenance, industrial automation and educational environments. This is a sister institution of the Engineering Institute of Technology (EIT), a specialist engineering education institution serving engineering professionals from more than 160 countries. His focus is not on the hype surrounding AI, but on a simple question: “How can engineers, technicians and managers use AI NOW to improve the way they work?” Participants consistently value his practical approach, engaging presentation style and ability to explain complex technical topics in a manner that is immediately useful to engineering professionals. Philosophy “Engineering is about solving practical problems. AI is simply another tool in the engineer’s toolbox. Like every engineering tool, it must be applied with sound judgement, practical experience and common sense.” __ The Engineering College of Technology (ECT) is a UK-recognised higher education provider specialising in engineering. It is affiliated to the well-established Engineering Institute of Technology (EIT) – an accredited Australian education and training provider. __ FOLLOW US! Website: www.ect.ac.uk Instagram: https://tn5cfl.s.gy/v2pyGB Facebook: Engineering College of Technology | Stevenage LinkedIn: https://tn5cfl.s.gy/hrJ2mX Registered UK Higher Education Provider | UKPRN: 10089771 -- All content in this video is current as of the date of upload.