The 2025 Predictive Aircraft Maintenance (PAM) Conference in Dublin closed on November 12 after two packed days at the Gibson Hotel – marking the largest PAM event ever delivered, with 250+ delegates, 50+ global operators attending and more than 55 speakers across 30 sessions.

Chaired by Richard Brown, managing director of NAVEO Consultancy, this year’s programme placed airlines firmly at the forefront, with leading carriers from Europe and the Americas unveiling real-world predictive maintenance strategies, operational case studies and digital transformation journeys.

Airline spotlights

Ryanair opened the conference with a high-impact session from Peter Hayden, director of maintenance planning, charting the airline’s evolution from reactive planning a decade ago to a fully data-driven ecosystem supporting over 630 aircraft. Hayden demonstrated how predictive analytics, digitalisation and smarter planning tools are enabling the airline to scale toward 800+ aircraft while maintaining industry-leading reliability.

British Airways’ Stephen Rayner followed with a detailed look at BA’s past seven months of accelerating its predictive maintenance capability. He emphasised how organisational readiness, cross-functional collaboration and cultural adaptation were key to shifting BA away from largely reactive maintenance and embedding predictive insights across engineering, supply chain and planning.

Vueling’s Marc Perez delivered an operator’s view of day-to-day predictive maintenance adoption, sharing practical examples of integrating predictive insights into live operations and highlighting where predictive workflows generate value under real-world airline constraints.

Aer Lingus’ Valentin Lewandowski expanded the narrative with the carrier’s progress in building efficient predictive algorithms with limited resources and its evolving use of AI in collaboration with IAG.ai.

In a joint presentation, Condor’s Pascal Ramali and Airbus’ Petros Manaras illustrated how the airline is developing a data-driven culture using analogies from professional sport – emphasising leadership support, mastering fundamentals, and team empowerment as drivers of Condor’s predictive transformation.

The airline-led content concluded with LATAM Airlines and AVIATAR, where Peter Golibrzuch (Lufthansa Technik) and Enzo Luizetto (LATAM) showcased co-developed predictive models deployed across several aircraft types, resulting in measurable reductions in operational interruptions and improved maintenance efficiency.

Airline panel: moving beyond recreational maintenance

A major focal point was the airline panel on the shift away from ‘recreational maintenance’. Moderated by Lee Hayhurst (Aviation Business News), the session brought together easyJet’s Craig Lynch, SAS’s Matias Bjerregaard, United Airlines’ Shruta Shankar and Delta’s Dustin Ames. Together, they explored how predictive tools are being operationalised to eliminate unnecessary checks, enhance reliability and support smarter forward-planning.

OEM, MRO and technology leadership: Scaling predictive capability

Alongside the airline content, major OEMs and technology providers spotlighted their latest advancements.

GE Aerospace’s Derek Cedillo and Nate Hicks showcased how advanced analytics and AI are enabling operators and MROs to optimise maintenance operations through improved detection and smarter interventions.

Boeing’s Darren Macer discussed fleet-wide modelling, component health prediction and how early detection workflows reduce maintenance burden, extend component life and align predictive alerts with regulatory expectations.

Safran Nacelles’ François-Xavier Zakrzewski and Safran Landing Systems’ Edouard Lesellier, along with SAS’ Matias Bjerregaard, demonstrated the value of health monitoring and predictive maintenance across nacelle and landing systems support.

From Liebherr, José Ribeiro presented predictive models for the A320 family, developed using real-time operational data to increase accuracy and enhance availability.

Airbus’ Manuel Saucez and Fabrice Villaumé unveiled the most significant expansion yet of the S.FP+ platform, positioning it as the industry benchmark for predictive modelling and fleet-wide decision support.

Engine predictive maintenance: Big data, AI and real-time diagnostics

A dedicated engines panel session, moderated by Richard Brown, brought insights from Delta Air Lines, CTS Engines, GE Aerospace and United Airlines. Speakers Amanda Bock, Jared Butson, Honor Powrie and Zack Silverman explored how predictive tools are extending engine life, reducing disruptions and enhancing operational decision-making.

Additional engine-focused content included Daniel Barredo (ITP Aero) and David Barron (CHC) presenting full-flight AI diagnostics that have significantly reduced AOG events.

Predictive ecosystems, data quality and supply chain integration

Justin Spaulding (The 145) presented on how aviation marketplaces support predictive readiness, while EXSYN CEO Sander de Bree underscored the importance of connected, context-rich data, and Armac Systems founder Micheál Armstrong outlined how predictive signals can shape inventory planning and supply chain responsiveness.

MRO collaboration was represented through Revima’s Vikram Singh discussing data-driven partnerships, while Brian McHugh (Collins Aerospace) showcased the Ascentia model for collaborative predictive maintenance adoption.

Teledyne’s Bobby Burkett demonstrated how legacy aircraft data sources can be digitised and transformed to support predictive workflows, while GA Telesis’ Jason Reed unveiled “WILBUR”, a blockchain-enabled registry for global component lifecycle tracking.

A dedicated panel on end-of-life strategy examined how the USM market is responding to longer aircraft lifecycles and tightening teardown capacity. Moderated by Richard Brown (NAVEO Consultancy), the session brought insights from Conor O’Brien (EirTrade Aviation), Melvin Kelly (Jackson Square Aviation), Gavin Simmonds (APOC Aviation) and Pascal Parant (Vallair). Together, they highlighted how data, forecasting and closer collaboration are helping align teardown activity with fleet requirements—reducing lead times, mitigating availability risks and ensuring maintenance programmes remain on schedule.

The Digital Alliance: Industry collaboration at scale

The Digital Alliance session featured Collins Aerospace, Airbus, Delta Air Lines, GE Aerospace and Liebherr, moderated by Craig Waters (MRO Management). Speakers Thomas Novelle, Fabrice Villaumé, Dustin Ames, Nate Hicks and Pierre Escudier-Donnadieu offered updates on collaborative model development, data standards, interoperability and the shared tools underpinning reliable predictive decision-making.

Start up innovation reshaping the future of aircraft health

The ‘Start Up Voices’ session showcased new innovators including Baleen Labs, Eclipse Propulsion, Aermetric and AIXI, with presentations from: Dr Chandy Wicks and Dan Jones, Sean Bushkov, and Cameron Byrd.

A panel moderated by easyJet’s Craig Lynch followed the start up presentations which brought further insight from Sam Deeble (Baleen Labs), Sean Bushkov, Cameron Byrd and Sean Simons (Robot Toolworx).

Predictive maintenance and regulation: Navigating airworthiness and legal risk

A significant discussion on the regulatory landscape was chaired by Jeff Smith (Parker Aerospace) and featured Edgaras Knyzas (Heston Airlines), Darren Macer (Boeing), Simon Phippard (Bird & Bird) and Andrew McGregor (GAMIT).

The panel examined certification, liability, traceability and how regulators such as EASA, the FAA and the UK CAA are aligning with the rise of predictive systems.

A landmark edition – and a growing global community

Event organisers Aviation Business News (ABN) and MRO Management would like to thank the event’s speakers, sponsors and delegates for contributing to the most successful PAM event yet. With powerful airline case studies, deep technical sessions, and growing engagement from OEMs, MROs, regulators and start ups, PAM continues to build a global predictive maintenance community shaping the future of aviation reliability.

The PAM series returns in 2026 with three editions: PAM MENA (February), PAM APAC (September) and PAM Europe (November).

If you would like to nominate yourself or a colleague to speak at a future PAM conference, please contact Craig Waters.

For sponsorship opportunities, please contact Toby Walton.