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Calendar

Oslo Big Data Day 2024

Oslo Big Data Day is a one-day conference held at BI with multiple talks and debates on the latest technology trends focusing on the use of AI and its accessibility, implications and challenges.

Programme Tuesday 28 May 2024

This will be a full day event starting with plenary sessions and followed by parallel sessions in the afternoon. 

 

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Programme

  • Time
  • Title
  • Registration and Expo - Visit Sponsors

  • Open Plenary Session

    Room: Finn Øien (A1-040)

    Introduction by Harald Overby, BI Norwegian Business School

    Keynote Speeches - The State-of-AI in Norway
    A recent study among Norwegian organizations found that one out of four respondents use AI technologies. There is some adoption of generic tools such as ChatGPT. And other generative AI, while only a small proportion of the AI-adopters of respondents had AI-applications that used the organisation’s own data. How can we stimulate the private sector to adopt AI applications, and how can we make sure that the public sector is using AI for the public good?

    Keynote Speakers & Panel Debate
    TBD

  • Morning Plenary Parallel Sessions

    The Democratization of AI
    Room: C1-060
    The democratization of AI refers to the process of making AI more accessible and available to a wider range of people and organizations. One of the main issues is the current control that “big tech” holds on generative AI and the large language models (LLMs). These models do not represent the Norwegian language and culture well, and both may be at risk if we use models without caution. There are several Norwegian initiatives to create LLMs trained on Norwegian language text that will be better aligned with Norwegian culture, values, and language.

    Plenary Parallel Session: Public Sector Reforms through AI?
    Room: C1-010
    The democratization of AI refers to the process of making AI more accessible and available to a wider range of people and organizations. One of the main issues is the current control that “big tech” holds on generative AI and the large language models (LLMs). These models do not represent the Norwegian language and culture well, and both may be at risk if we use models without caution. There are several Norwegian initiatives to create LLMs trained on Norwegian language text that will be better aligned with Norwegian culture, values, and language.

  • Lunch

  • Afternoon Track Sessions

    Track 1: AI in Finance, room: TBD
    This session will span different perspectives for current and future use of AI in Finance. Contributors from academia, government and industry will share challenges, advances, and insights on the impact and use of Artificial Intelligence and Machine Learning in Finance. The session will have both technical and non-technical content.  

    Track 2: AI in the Workplace, room: TBD
    This session will highlight the transformative effects of artificial intelligence in contemporary work settings. Experts from diverse sectors will discuss how AI is reshaping tasks, workflows, and productivity in the workplace. Attendees will learn about real-world applications, benefits, and potential challenges associated with the integration of AI, gaining a deeper understanding of its impact on the future of work. 

    Track 3: Generative AI, room: TBD
    The Generative AI session will include speakers from academia and industry, offering insights into research, applications, and challenges in this field. Attendees will gain an overview of Generative AI, with discussions covering complexities, ethics, and limitations.

    Track 4: Ethical AI, room: TBD
    The session on Ethical AI will focus on the governance of AI applications. There are ethical considerations on using AI for “good” or “bad”. New regulatory frameworks aim to address such issues, e.g. the regulation of algorithms and accountability, transparency and privacy. Ethical AI also include moral and social implications.

    Track 5: Industrial AI, room: TBD
    The session will highlight industrial applications of AI. It includes topics such as automation, control, optimization, and robotics across applications in manufacturing, supply chain, and others.

    Track 6: Emerging Tech Startups, room: TBD