Page 43 - Monaco Economy 131

MONACO DIGITAL: Tomorrow's World - Artificial Intelligence

Françoise Milatos, Deputy CEO of Monaco Digital, a Monegasque company specialising in digital
technology, talks to Monaco Economie about Artificial Intelligence (AI), a concept that may sound
futuristic but is already very much a reality.

© CMonaco Digital Trio de direction, à savoir Bruno Cauvin, Directeur Général Adjoint, Françoise Milatos, Directrice Générale Adjointe et Anthony Boira, Président Directeur Général

The management trio: Bruno Cauvin, Deputy CEO, Françoise Milatos, Deputy CEO and Anthony Boira, Chairman and CEO.
Everyone's talking about Artificial such as the creation of chat bots in our professional world?
Intelligence, but what does it actually mean? administrative departments and automation There are many challenges, and they need to
Artificial Intelligence is all over the news, of some of the most repetitive activities, such be addressed in advance and at every stage
arousing curiosity, mistrust, fascination and as technical documentation and monitoring of AI projects:
fear of the future. First of all, it is important our customers' machines on a daily basis. - 1 challenge: security. The more we use it,
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to understand that AI is not really intelligence: the more the risks increase if they are not
it's a simulation of human intelligence, based What can Artificial Intelligence offer to anticipated. This is why it is essential to include
on preliminary learning phases, during which Monaco's businesses? security experts in all AI projects from the
the machine is taught to combine data to The great advantage Monaco enjoys is that the outset. Our experts at Monaco Cyber Sécurité
answer more or less predefined questions. The technical infrastructure needed to develop AI are already investing a great deal of time in
power of AI is linked to its ability to process is already in place: the capacity to store large AI, in conjunction with our specialist partners.
increasingly large amounts of data, and to volumes of data and high processing power - 2 challenge: data quality. AI will only
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associate them with increasingly powerful is available on the sovereign cloud, which has be effective if the business data has been
programmes or processes. But it can only been designed to be a sovereign and secure collected, sorted, cleaned and organised
generate what is defined as input. So, first receptacle for AI projects. beforehand. Without relevant data, the
and foremost, we need to understand its There are many possible uses for this, across results will be disastrous and will generate
mechanisms and learn how to use it. all sectors. First and foremost, the automation an immediate loss of confidence.
of tasks that obey predefined rules; for example, - 3 challenge: respect for ethics. AI must not
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How does Monaco Digital perceive Artificial the processing of files in the banking and deprive people of their responsibilities and
Intelligence? insurance sectors: gathering and checking their ability to make judgements, which are
Monaco Digital has set up a multidisciplinary data, processing standard cases, proposing the only way of ensuring that our activities
working group to monitor developments in solutions for specific cases, and so on. develop in a sustainable way.
AI and pass them on to our clients. We work We are also seeing a great deal of interesting Nor should we forget respect for personal data
closely with our most active partners, who experimentation in the medical sector: analysis and intellectual property.
are investing heavily in this area, such as IBM of complex multifactorial cases, diagnostic
and Microsoft. We help clients in their choice assistance, etc. How do you see the future of Artificial
of when to use AI, which training courses, Real thought is also being given to the Intelligence in the Principality?
raising awareness about the subject, and in education sector, both in terms of training Monaco has a part to play in making AI a
experimental projects they want to implement. students in this new field and in terms of differentiating factor for economic success.
In our internal businesses, AI is already proposing more interactive and personalised To achieve this, it would be a good idea for all
routinely used by developers to automate learning methods. the players working in this field to pool their
code generation, and to speed up programme strengths and advances in order to develop
production. What are the challenges associated with and promote real, tangible and operational
We have also carried out operational projects, the use of Artificial Intelligence in the expertise in AI in Monaco.

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