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    Artificial Intelligence - Understanding the Risks and Benefits

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    Mahitahi Colab
    nelson, new zealand
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    Event description

    Are you ready to harness the potential of Artificial Intelligence (AI) for your business? Or maybe you’re unsure where to even start? Join us for an introductory two-hour course for executives, hosted free of charge by world-leading AI experts from the University of Waikato and Callaghan Innovation.

    You’ll walk away with invaluable insights into the risks and benefits of AI adoption, as well as an understanding of the critical do’s and don’ts when developing an AI strategy for your business.

    This free introductory session is the first in a series of events designed to help you navigate AI opportunities and risks with confidence. It will be delivered by Albert Bifet, Professor of AI and Director of the Artificial Intelligence Institute, University of Waikato, and Kin Lung (KL) Chan, Team Leader and AI Lead, Callaghan Innovation.

    Don't miss this chance to unlock the strategic advantages of AI and drive innovation in your business. Register now to secure your place!

    This event will be held at the Mahitahi Colab, and will include discussion and networking opportunities during and after the event.

    Facilitator Bios: 

    Albert Bifet - University of Waikato

    https://profiles.waikato.ac.nz/albert.bifet 

    Albert is a Professor of AI, Director of the Te Ipu o te Mahara AI Institute at the University of Waikato and Co-chair of the Artificial Intelligence Researchers Association (AIRA). His research focuses on Artificial Intelligence, Big Data Science, and Machine Learning for Data Streams.

    He is leading the TAIAO Environmental Data Science project and co-leading the open source project MOA Massive On-line Analysis.

    He is the co-author of a book on Machine Learning from Data Streams published at MIT Press. He is one of the winners of the best paper award at the ACM  Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2023, and he is the general co-chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2024 

    Te Ipu o te Mahara AI Institute: https://ai.waikato.ac.nz

    Kin Lung Chan - Callaghan Innovation

    https://www.callaghaninnovation.govt.nz/people/our-people/kin-lung-kl-chan/ 

    Kin Lung (KL) Chan is an accomplished research scientist with over two decades of experience in cutting-edge technologies such as AI, data science, and information communications. 

    As the AI Lead at Callaghan Innovation, he promotes AI as an enabling technology for solving tough technical problems in other science and engineering domains.  KL also leads a team of AI engineers and data scientists at Callaghan Innovation to support and activate innovation for New Zealand businesses.

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