The Luxembourg Analytics Summit is a platform to be inspired, learn and share ideas among peers. The summit brings together over 150 business users, analysts and data scientists to discuss analytics and artificial intelligence, its opportunities and its threats.

    Artificial Intelligence: Separating the hype from reality.

    In the previous editions, we focused on digital transformation and how to create a data-driven culture in organizations. This year, you will learn about Artificial Intelligence & Analytics, what’s possible today, what will be possible tomorrow and what to look out for.

    On June 5th 2018, you will learn:

    • How AI will impact different industries
    • How to regulate innovation in a society run by algorithms
    • How to separate reality from the Artificial Intelligence hype
    • How other organizations are starting to adopt AI in their business

    Check out the agenda and register today.


  • Agenda




    Welcome and introduction


    by Marc Aguilar, CDO at BGL BNP Paribas & Rein Bryssinck, Sales Director at SAS


    Artificial Intelligence: Separating the hype from reality


    Despite many investments, both in innovative and legacy AI environments, most AI projects outside of the high-tech industry are stuck in the prototype phase and seldom deliver the expected business value. The primary challenge is to operationalize AI applications, embedding them into enterprise business processes. This presentation is about how the SAS Platform can be used to develop managed, governed AI applications using AI technology. We will show how SAS supports the industrialization of AI applications within the enterprise and how SAS can participate in the new innovative ecosystems.


    by Michel Philippens, Head of Customer Solutions at SAS


    AI in the financial sector: What might the prudential issues for a regulator be?


    by David Hagen, Head of IT supervision & Supervision of Support PFS at CSSF


    The rise of AI: Preparing for the change​

    As AI become increasingly prevalent, we map the change unleashed by the implementation of AI: applications, dimensions of change, the future of jobs, and risks.

    by Professor Benny Mantin, Université du Luxembourg




    Will your next CMO be an algorithm?


    Are the marketing tasks going to be realized by algorithms? Will marketing jobs be made by robots? What will our added value be as marketers? Marketing Automation, programmatic advertising, artificial intelligence ..., The Marketing changes of era. Marketers must quickly and deeply review their roles, missions and skills in a changing environment…

    by Albert Derasse, Managing Director & Partner at Inbox


    75 use cases of Artificial Intelligence


    There are Artificial Intelligence use cases in every industry and in every department. Two major strategies for finding use cases are important: the first is looking for problems and try to map them to mathematical statements that can then be translated to Artificial Intelligence. The second strategy is taking use cases that are known to produce ROI and see if they apply to your company. An evaluation and prioritization framework is presented as well to help you figure out what to do first.


    by Jos Polfliet, Head of Machine Learning at Faction XYZ


    Democratization of AI technologies


    by Denis Batalov, Principal Solutions Architect at Amazon Web Services


    Networking drink with AI experts

  • Register now!

    June 5 - BGL BNP Paribas Headquarters

    Attendance is FREE of charge for end-users. ONLY for employees from non-sponsoring consultancy companies, the entrance fee is €1000 (ex. VAT).

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