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
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Registration and Expo - Visit Sponsors
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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
- State of Ai in Norway. Christine Hafskjold, Senior ICT Policy Advisor, Ministry of Digitalisation and Public Governance
- Generative AI: What is it and Why Should You Care? Stephen Brobst, CTO, Ab Initio Software
- AI and the future of engineering. Trond Markussen, President, NITO
- Theory is an AI-enabler. Arnoldo Frigessi, President, UiO - Integreat - Norwegian Centre for Knowledge-driven Machine Learning
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Morning Plenary Parallel Sessions
The Democratization of AI
Room: C1-020
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.Speakers
- Large language models and who they belong to? Andrey Kutuzov, Associate professor, UiO
- How to envision your Competitive AI product Using Planguage for Systems Engineering, a data driven planning process. Tom Gilb, Consultant
- TBD Tale Skjølsvik, Professor, OsloMet
- TBD Ebba Linde, Senior Product Manager SvD
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
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Afternoon Track Sessions
Track 1: AI in Finance, room: C1-060
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.Speakers
1. Erik Olsvik Dengerud, Quantitative Associate Trader, Norges Bank Investment Management
Clustering for decision support in equity trading.2. Kjersti Aas, Research Director, Norsk Regnesentral
Explainable AI – possibilities and pitfalls.3. Kjersti Wold, Head of advanced analytics, Sparebank 1 SMN
Employing AI in finance.
4. Dagfinn Rime, Professor, BI Norwegian Business School
Foreign exchange markets: Big data reflects market participants real-time information.Track 2: AI in the Workplace, room: C1-050
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.Speakers
1. Francesco Ravazzolo, Head of Department/Professor, BI Norwegian Business School
AI, geopolitical risks and firm risks.2. Pietro Domenichini, President, CRAIG Spa
AI for predicting risk and criminal liability of companies.3. Jan Ditzen, Free University of Bozen-Bolzano
Dominant Drivers of National Inflation by Machine Learning.4. Tone Ringstad, Culture Intelligence
AI-driven HR.Track 3: Legal Ethical AI, room: C1-010
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.Speakers
1. Samson Yoseph Esayas, Associate Professor, BI Norwegian Business School
AI regulation across different juridictions.2. Martin Jullum, Norsk Regnesentral
How to navigate in the Explainable AI jungle.3. Łukasz Borowiecki , CEO, 10 Senses
AI Explainability for Enhanced Profitability and Regulatory Compliance.4. Benita S. Mackay, patent advisor, Bryn Aarflot
Protecting your data, protecting your innovation, generating value.5. Marija Slakovik, Professor/Head of Department, University of Bergen
AI Moral Arbiters.Track 4: Industrial AI, room: C1-020
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.Speakers
1. Max Cao, CEO, Jacobi Robotics
The role of AI in industrial robotics.2. Omar Richardsen, CTO, Simula Consulting
AI for biodiversity: empowering local communities.3. Nils Jacob Berland, CTO, Haawk.ai
AI and Robotics.4. Anine A. Harto, Senior Data Engieer, Snøkam
How to Build a Self-Service Data Platform like the Wizard of Oz.5. Espen Henriksen-Polanscak, CTO, HTS Dynamics
RPA, BPM, IoT and soon some AI?Track 5: AI-workshop, room: B2-050 Digital Business Lab
1. Osama Hanif, Principal Product Manager, Microsoft
Demystifying Generative AITrack 6: Emerging Tech Startups, room: C1-000
1. Sheryl Winston Smith, Associate Professor, BI Norwegian Business School
Venture Capital and Corporate Investment in AI: Trends and Implications for Startups, Scaleups, and Corporate Innovation.