All PAM delegates are invited to attend our welcome drinks at The Gibson Hotel on Monday November 10 from 7.30pm. This is a chance to meet with contacts in the PAM community old and new in an informal setting before the conference begins the following morning. Delegates will be able to register and pick up their badges at the welcome drinks.

Conference chairman Richard Brown will welcome attendees. Richard has over 24 years of experience in aerospace, including 19 years consulting. Most recently he was responsible for the ICF Aerospace consulting practice and prior to that was part of the European practice at AeroStrategy. Richard is a recognised expert in aerospace manufacturing and maintenance strategies, regularly speaking at industry events and writing for industry publications on these topics.

Over the past decade, Ryanair has transformed its aircraft maintenance planning from reactive scheduling to a proactive data-driven ecosystem supporting over 630 aircraft today. This presentation charts that evolution – from early digitalisation efforts, hangar capacity constraints and fleet expansion to the integration of predictive analytics. Looking ahead to a fleet of 800+ aircraft, the speaker will explore how Ryanair is preparing for the next leap in scale, complexity, and reliability, while maintaining industry-leading safety and efficiency standards.

Discover how GE Aerospace is revolutionising aircraft maintenance with advanced analytics and AI. In this presentation, experts from GE Aerospace's complementary businesses will showcase how their solutions are empowering commercial operators and the MRO network to optimise maintenance activities.

The speaker will share British Airways' (BA) journey over the past seven months in transforming from a largely reactive maintenance operation to one that is increasingly predictive. The session will explore how the airline built organisational readiness for predictive maintenance – from securing senior management buy-in to overcoming challenges across supply chain, planning and engineering. The presentation will highlight the cultural, procedural and collaborative shifts that have underpinned BA’s success. This includes effective communication with staff, structured project planning, partnerships with OEMs and tooling suppliers, and the evolution of working practices across the business. Attendees will gain a practical understanding of what it takes to embed predictive maintenance within a large, established airline environment.

Predictive maintenance is reshaping how airlines manage aircraft health - and part of that shift involves eliminating outdated practices like “recreational maintenance”, where checks or part replacements are performed unnecessarily. This session brings together airline leaders to discuss how they’re embedding predictive tools into daily operations, overcoming integration challenges, and using data insights to drive measurable gains in reliability, cost efficiency, and forward-looking operational planning. Learn how leading carriers are using prediction, not routine, to define the future of maintenance.

The aviation industry is at a turning point. With fleets generating more operational data than ever before, the challenge isn’t data access - it’s data application. How can we transform information overload into smarter decision-making, faster fixes, and measurable improvements in uptime? In this session, the speaker will share how AI is transforming maintenance from reactive to predictive - and how Veryon AIRE, the analytics engine behind Veryon Diagnostics, helps operators get ahead of complexity by maximising aircraft flying time. You’ll see how AI-driven tools are already being deployed to boost first-time fix rates, reduce chronic defects, and simplify compliance, all while scaling the expertise of today’s shrinking workforce.

The speaker will share easyJet's predictive journey which started in 2015, and will highlight the direction (and attitude) the engineering industry needs to take to make the best out of data.

This presentation highlights Boeing’s innovative approach to optimising maintenance by building upon data-driven predictive maintenance strategies. By leveraging aircraft sensor data, model-based diagnostics, and the expertise of cross-disciplinary engineering teams – including the Prognostic Research Collaboration Program and Condition Based Schedule Maintenance workflows – we aim to streamline maintenance processes and reduce maintenance burden. Our strategy focuses on early detection and prediction of component health issues at fleet scale, significantly reducing the maintenance burden on airlines. The primary objectives are to minimise maintenance costs and operational disruptions, extend the life of components, and provide validated, regulator-aligned alerts and workflows. This integration into airline maintenance processes enhances aircraft availability and enables optimised scheduling, ultimately leading to a more efficient maintenance ecosystem.

Aviation marketplaces are evolving into predictive maintenance enablers, combining data sharing, AI-driven analytics, and supply chain integration to help airlines anticipate failures, reduce costs, and maximise fleet uptime.

StandardAero will showcase real-world benefits of predictive maintenance

In today’s aviation landscape, where maximising uptime and minimising operational risk are top priorities, the integration of predictive maintenance tools into engine and powerplant health strategies is becoming indispensable. This panel brings together leaders from across the aviation ecosystem to explore how emerging technologies - such as artificial intelligence, big data, and live diagnostics - are revolutionising engine reliability. From smarter decision-making to proactive fault prevention, hear how airlines, MROs, and OEMs are using predictive insights to extend engine life, enhance safety, and adapt to the pressures of tighter operational timelines.

Safran Nacelles and Landing Systems will present the added-value of Health Monitoring and Predictive Maintenance of Safran products in-service: monitor, anticipate, recommend specific maintenances, and therefore enhance support for flight operations. Attendees will learn how these capabilities can support maintenance-related decisions and enable Safran to provide dedicated solutions to the airlines.

Liebherr will present newly developed predictive maintenance models for Airbus A320 aircraft, created with real-time airlines data. The session will showcase how real-world operational feedback accelerated model accuracy, enabling earlier fault detection, optimised maintenance planning, and increased aircraft availability - demonstrating the value of predictive technologies in shaping the future of aircraft reliability.

S. Fleet Performance + (S.FP+) is the industry benchmark, leveraging unparalleled Airbus-grade models to transform unscheduled Airbus fleet maintenance into predictable events. Now, the expertise is yours. Join the speakers as they unveil the most significant capability expansion in S.FP+ history. We are taking the world's most powerful platform and dramatically expanding its scope, transforming the way you apply predictive maintenance across your entire operation. Witness the concrete impact of this evolution – a shift that allows you to transform your company's unique operational expertise into direct, multiplied value. We'll show you how to move from being a user of the industry's best analytics to becoming a driver of your own predictive future, all within one unified digital solution. Don't miss the session that redefines what a predictive maintenance platform can do for your fleet (live demonstration).

In this session, the speaker will share practical case studies drawn from real-world implementation, highlighting the day-to-day challenges of integrating predictive maintenance within the dynamic demands of airline operations. The talk will explore the tangible impact of predictive strategies on performance, the effectiveness of these systems in real-time decision-making, and the lessons learned along the journey of continuous improvement.

Predictive maintenance is evolving fast, with each player taking a different approach. Combining our airline and MRO expertise, we turn massive data into valuable insights. In this presentation, we’ll showcase a predictive model for the A350, built and deployed on our PROGNOS® platform - demonstrating an efficient process that creates tangible value for all stakeholders.

Modern predictive maintenance relies not just on the best algorithm - but on trustworthy, connected data. This session explores how EXSYN enables CAMO teams to move beyond reactive KPIs by embedding predictive logic into aviation-native tools. Learn how clean, connected, and context-rich data fuels earlier detection, smarter decisions, and uninterrupted reliability - even across system migrations and operational change.

The PAM conference always provides our delegates with plenty of opportunity to get to know your fellow attendees in a fun and informal environment on the middle evening of the conference, and this year is no exception. We have hired out one of Dublin’s newest venues, FlightClub on the city’s iconic Dawson Street.

Your PAM delegate pass entitles you to attend our darts evening from 7.30pm where there will be a complimentary bar, food served and, of course, plenty of opportunity to show your prowess on the oche. The winners will be announced at the start of the second day of the conference, so make sure you come along and write your name into PAM folklore.

Richard Brown, Managing Director, NAVEO Consultancy – conference chairman

Aer Lingus will share insight into its progress and plans for predictive maintenance.

With aircraft flying longer and teardown slots tightening, planning for end-of-life assets has never been more important. This panel will examine how data, forecasting, and collaboration are helping market players align teardown activity with fleet needs – reducing lead times and keeping maintenance operations on schedule.

The speaker will outline a forward-looking vision for how innovation and data-driven insights can transform MRO activities, helping operators move from reactive to proactive maintenance strategies. Drawing on the role of Armac Systems within this evolving landscape, the presentation will also highlight the importance of collaborative partnerships across the aviation ecosystem to accelerate adoption and unlock efficiencies. Delegates will gain valuable perspectives on aligning supply chain response with predictive signals to reduce downtime, optimise costs, and enhance operational resilience.

Members of the Digital Alliance will share an update on how industry collaboration is providing reliable predictive maintenance solutions to ensure stable and cost-effective operations.

This presentation explores Condor’s digital journey to transform into a data-driven airline. Drawing on personal experiences from professional sports, it tracks the analogy and highlights how leadership support, mastering the basics, gradual progress as well as teamwork and empowerment are essential for both athletic success and the implementation of Predictive Maintenance within an airline.

This session offers an in-depth exploration of the collaborative work between AVIATAR and LATAM Airlines, highlighting the successful approach of jointly developing predictive models on several aircraft types. It delves into the key success factors that enable effective co-development and sustained value creation. LATAM Airlines will showcase real-world case studies that lead to tangible operational gains - including reduced operational interruptions and improved maintenance efficiency.

This session highlights the most promising startup companies disrupting traditional maintenance models with innovative, tech-driven solutions. Startups will share their approaches to leveraging predictive technologies, overcoming industry adoption hurdles, and collaborating with established MROs and airlines. The conversation will explore the future of aircraft health monitoring, real-time diagnostics, and cost-saving opportunities enabled by startups.

This presentation will showcase the Collins Aerospace model for airline collaboration in predictive aircraft maintenance. Learn how to blend automation with human-in-the-loop validation to deliver enhanced operational reliability and customer trust.

As predictive maintenance becomes more widespread in aviation, regulators, legal experts, and industry players face a critical challenge: how can advanced data-driven tools be integrated into safety-critical operations without compromising compliance, legal accountability, or airworthiness? This panel brings together specialists from airlines, MROs, CAMOs, technology providers, legal practice, and regulatory bodies to examine how predictive maintenance is being evaluated, certified, and deployed within existing and emerging frameworks, exploring the role of authorities like the UK CAA, EASA, and FAA in approving predictive systems, how maintenance and continuing airworthiness programmes are adapting, and the legal implications for data ownership, liability, traceability, and safety assurance. From certification standards to contractual obligations and risk-sharing models, this session will map the regulatory and legal landscape shaping the future of predictive maintenance.

Discover how it is possible to access and transform legacy aircraft data into actionable insights. This session will cover the evolution of data acquisition systems, highlight current challenges in accessing and decoding flight data, and introduce emerging technologies like IoT and edge computing. Attendees will learn how these innovations can support predictive maintenance and smarter aviation operations.

SITA will be applying the concept of federation to aircraft maintenance for next gen MRO which can generate new collaborative intelligence sharing across multiple airlines, across multiple maintenance communities and with the reasoning support of precision agents.

Can AI truly bring specialised diagnostics to classic engine health? Our First Public Unveiling will reveal how ITP Aero has solved the challenge of using full-flight data for engine diagnostics and health monitoring through AI. In a joint talk, CHC and ITP Aero will demonstrate how this technology has helped to significantly reduce AOG events on the CHC helicopter fleet since 2017.

The speaker will explore the future of automated component traceability, authentication, and lifecycle tracking.