Tag Archive for: digital transformation

Heathrow targets passenger experience with AI upgrade

Heathrow Airport plans to use AI to personalise its digital services and help passengers find accurate airport information through platforms such as ChatGPT, Google Gemini and Microsoft Copilot.

The airport has extended its partnership with Adobe to support a new flagship website and improve how its content appears in AI-powered search. The changes form part of Heathrow’s wider digital transformation.

Its website, which receives more than 50 million visitors each year, will use the company’s customer experience technology to deliver more relevant content. The platform will also provide access to accessibility information, community programmes and resources for government and other stakeholders.

Stephen Glenfield, Head of Digital at Heathrow (c) Glenfield/LinkedIn

Stephen Glenfield, Head of Digital at Heathrow, said: “At Heathrow, our purpose is simple: to make every journey better, for passengers, communities and the businesses that depend on us. As we continue to grow, Adobe gives us the AI and customer experience technology to deliver deeper, more meaningful passenger relationships that weren’t possible before.”

He added: “Working with Adobe, we are able to make sure that passengers get the right information whether they are on our website or querying via an LLM.”

Reaching passengers through AI

A central element of the partnership is improving the visibility and accuracy of Heathrow information as travellers increasingly turn to AI tools to research and plan journeys. Adobe research cited in the announcement found that one in four consumers now uses AI platforms as their primary information source when making travel decisions.

Heathrow will use Adobe Brand Visibility to track how its content is cited and presented across major AI platforms. The technology will help identify gaps in visibility and support efforts to make authoritative airport information easier to discover throughout journey planning.

The website will also use the technology company’s Experience Manager, part of its CX Enterprise offering, to manage and personalise digital content. The companies describe the wider platform as an agentic AI system supporting customer interactions across different stages of their relationship with an organisation.

Nathan Hancock, Vice President and Managing Director for the UK, Ireland, Middle East and Africa at Adobe, said the companies had worked together for more than a decade.

He said: “This partnership brings [our] agentic AI and customer experience technology together, to personalise those passenger relationships and ensure Heathrow’s content is visible and accurate in a world where AI is increasingly the first stop on the travel journey.”

Main image: Heathrow Airport

DFW to establish dedicated AI leadership role

Dallas Fort Worth International Airport (DFW) is creating a senior artificial intelligence position to coordinate AI adoption across its operations, as it seeks to strengthen governance and expand the technology’s use.

The principal AI lead will oversee strategy, infrastructure, procurement and employee training, according to a report by Dallas Innovates. Responsibilities will include managing pilot projects, evaluating emerging technologies and establishing safeguards against unauthorised AI use.

A DFW spokesperson told Dallas Innovates that the position would support efforts to improve operational efficiency, passenger experience and employee productivity.

Paul Puopolo, Executive Vice President and Chief Technology and Innovation Officer at DFW

The AI lead will work alongside Paul Puopolo, Executive Vice President and Chief Technology and Innovation Officer at DFW and founding president of the Airports AI Alliance (AAA). Puopolo remains on the Alliance’s Executive Committee following the appointment of Eduardo Valencia, Chief Information Officer at the Metropolitan Airports Commission (MAC), as president in August.

When AAA was established in 2024, Puopolo emphasised the importance of collaboration between airport business and technology leaders to integrate AI with existing systems. The new position at DFW represents a further step towards putting that approach into practice across the organisation.

The move follows MAC’s recent appointment of Nick Running as Assistant Director of Data and Artificial Intelligence. Running is responsible for strengthening enterprise data management and developing governance policies to support AI adoption across MAC’s airport system.

In an earlier interview with AAA, Valencia emphasised the importance of workforce development and data readiness, arguing that airports should prioritise AI applications addressing clearly defined operational challenges.

The new position forms part of DFW’s wider efforts to develop a technology roadmap for the next decade, with greater coordination of AI deployment across the organisation.

Main image: Rob Atherton | Dreamstime.com

Naviq joins AAA to help scale airport AI

Naviq has joined the Airports AI Alliance (AAA), with the recently launched company aiming to help airports make better use of operational data and move artificial intelligence beyond individual trials.

Launched in July as part of IBS Group, Naviq works across legacy system modernisation, cloud migration, operational data and AI, with a particular focus on connecting technologies and information that have traditionally sat in separate systems.

“Airports are modernising their legacy airport technology, and that spans from airport operational databases [AODB] to all kinds of supporting systems, on-prem to cloud migrations and bringing in new state-of-the-art SaaS solutions into their environment,” Kay Hellwig (pictured), Director of Sales, Europe and Africa at Naviq, told the Alliance.

“We help airports to anticipate disruptions rather than just react. How they can make better use of operational data, data and AI is a big topic, and we want to help them move from individual POCs to really an enterprise AI use that brings value to the airport.”

Hellwig highlighted a recent project with a customer that already held the information it needed but struggled to use it effectively because it was spread across different systems.

“The data is scattered across systems,” he said. “We have invested in a platform that accelerates bringing data together using AI.”

According to Hellwig, the customer was able to combine information from different sources three to five times faster than through a conventional data lake development process. Naviq then added pre-built key performance indicators and a platform on which further AI use cases could be developed.

“They’ve used that to create new KPIs that help them steer the business better and make better and faster decisions in their operational day-to-day work,” he said.

Hellwig sees a similar opportunity at an industry level, where operational information is divided between airports, airlines, ground handlers and other organisations.

“Sharing data is important because then you can gain other insights and you can optimise the system overall,” he said.

Greater data exchange with airport retailers could also open up commercial applications, although Hellwig said this would depend on appropriate platforms, a clear benefit for the organisations involved and sufficient trust to share information.

Through its AAA membership, Naviq plans to contribute experience from its work with airports, airlines and ground handlers while learning from deployments across the Alliance’s airport membership.

“It’s about really openly discussing what is happening, what works well, what doesn’t work well, best practice exchange, and that’s where we can contribute with our domain experience,” Hellwig said.

The company also sees the Alliance as an opportunity to test its assumptions about airports’ priorities against the experience of those implementing AI in operational environments.

“While we do a lot of research and we have industry experts, it’s always good to mirror our understanding and our view with the airports and see whether that’s the right thing or where else do we need to look,” Hellwig said.

For Hellwig, the longer-term shift is therefore less about replacing individual systems than changing how airports use technology, data and AI across their operations.

“What will happen is not just product replacements at airports,” he said. “It’s really changing how they work.”

Image: Naviq

AirportLabs expands airport software offering into Asia

AirportLabs is targeting airport operators across Asia with software that connects operational data, resource allocation and passenger information. The expansion covers its full product range, although the company has not named new customers in the region or announced deployment dates.

The aviation software supplier says its products are used at more than 100 airports, including Dubai International, London Heathrow and Chicago O’Hare (pictured). It is seeking business from individual airports and operators managing multiple sites, drawing on previous deployments across airport networks in Europe and the Americas.

“Small airports need to run the same code as our largest customers. Not a lite edition, not a legacy fork,” said Ligiu Uiorean, Director, AirportLabs. “Fair pricing is not a discount. It is an architectural outcome.”

The offering includes an airport operational database, resource management software and flight information displays. Other tools cover billing, ground handling, passenger queues and communication between airport teams, with operators able to introduce individual systems rather than replace their entire software estate at once.

The resource management system allocates stands, gates, baggage belts and check-in counters, while a separate monitoring platform gives operations control centres information about upcoming activity. Alerts can be directed to relevant teams, supporting coordination between airports, airlines and ground handlers.

AirportLabs develops its products in-house and delivers them through a cloud-native platform. The company says this reduces reliance on on-site servers and allows airports of different sizes to use the same software.

Its existing group deployments include work with VINCI Airports and OMA, which operates 13 airports in Mexico. Fraport Greece also introduced the company’s Airport Community App across its 14 regional airports in less than four months, according to AirportLabs.

Implementation times vary by project. The company reported a 40-day deployment of its flight information display system at Chihuahua Airport in Mexico, compared with seven months for its operational database and resource management systems at Chicago O’Hare.

These projects involved different systems and scopes, limiting direct comparisons between the reported timelines. The announcement did not specify the integration work, training or changes to operating procedures required at each location.

For operators managing several airports, the proposed approach would bring operational information from different sites into a common system, allowing headquarters to monitor activity across the network.

Airports AI Alliance contacted AirportLabs for details on its priority Asian markets and plans to support local deployments but had not received a response at the time of publication.

Image: 4kclips | Dreamstime.com