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  • Dr Ben Dias joins IAG from easyJet to lead AI innovation

Aerospace

Dr Ben Dias joins IAG from easyJet to lead AI innovation

International Airlines Group (IAG) has appointed Dr Ben Dias as Chief AI Scientist.

Image courtesy IAG

With a 20-year career in artificial intelligence, data science and analytics, Dias will lead the Group’s AI strategy, establishing models that can be leveraged across IAG’s operating companies, including airlines Aer Lingus, British Airways, Iberia and Vueling.

He will be focused on building and scaling AI products that enhance the customer experience, optimise operations and drive sustainable efficiencies. IAG is mobilising at pace and the Group has opened IAG.ai labs in London and Barcelona as spaces to foster collaboration and innovation.

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AI and analytics could create $45 billion in value globally for airlines, with opportunities across revenue management, operations, customer experience and people.

IAG airlines are already using machine learning to give pilots’ access to real-time weather data through AI-driven forecasts and have reduced the time it takes to speak to customer care teams and resolve issues by personalising customer service with more intuitive and responsive virtual assistants.

Jorge Saco, IAG’s Chief Information, Procurement Services and Innovation Officer, said: “I’m delighted to welcome Ben to IAG and his appointment firmly reflects the growing role of AI within our business. AI has the potential to make our businesses perform better, help our employees and is essential to our long-term success.”

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Dr Ben Dias said: “It’s a privilege to have joined IAG at such a pivotal time in their transformation programme. There’s a huge opportunity to use AI across innovation and it’s impressive the value and investment IAG are placing on this technology. I’m excited to find new ways to streamline operations, predict customer needs and increase efficiencies across the board.”

Dias has held leadership roles at easyJet, Royal Mail, Tesco, and Unilever and holds a PhD in Computer Vision and a Masters in Mathematics and Astronomy from University College London.

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