WEBVTT

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In essence, it's
both a logistical operation,

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but it's also a huge,
commercial operation.

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One example,

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Gardermoen Oslo airport
has roughly 570 Avinor employees,

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but there are 13,000 people
working at the airport.

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That needs to be coordinated
and integrated.

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AI is a perfect way going forward

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in order to be able to do this type
of complex operation.

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By owning the AI capability ourselves,

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we ensure long-lasting value,
and the ability to grow with future needs.

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AI could be a real game changer for Avinor,

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so we need to stay on top of it
and take the lead ourselves.

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When we started working with Avinor,
the ambition was to build an internal AI team

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and a lasting capability
that would enable that team

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to chase
business value using AI.

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That is the difference.

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Thinking value first,
rather than technology first.

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The journey was a full program:

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we defined the operating model,
the team, the capabilities,

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we supported the recruiting effort.

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And we did that training through
delivering use cases together.

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We transferred our methodologies,
our expertise,

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our capabilities to the team when we were
delivering the proof of concepts.

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That's the best type of AI training
you can get.

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Avinor started to work with BCG
as a kick start within AI,

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and then building
our own team simultaneously.

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Now we are in the process of
internalizing it into our own culture.

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We built a team
consisting of different types of roles.

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We combined internal and external hires
to get the right mix of skills.

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Now we have data scientists, data engineers,
business developers,

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and an AI Literacy Lead

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who helps people understand
and use the new tools in their daily work.

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In the team, we are
20 apron coordinators

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coping with
shifting environment all day.

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Our responsibility is, in a safe
and efficient way,

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to do stand and gate allocation
at Oslo airport.

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This is a critical part of the
airport operations.

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Safety always comes first.

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AI has the potential to
significantly change our decision making,

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to process all the data available
and present it in real time.

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I think it will simplify the complex
part of our work

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when there is no clear right answer.

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We started with a great foundation
together with BCG.

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Now we are improving the model,
step by step,

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making sure that it fits
the way Avinor works.

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I'm really excited about
scaling what we started,

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bringing AI into even more parts
of Avinor’s organization.