Program 2024

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  • 10. October


  • Welcome to a discussion where we'll navigate the complex waters of cybersecurity, a field where challenges know no borders. Both Norway and the United States are global leaders in many areas, but when it comes to cybersecurity, each has its own unique set of advantages and challenges. We’ll take a look behind the curtain and compare and contrast some of these attributes from the perspective of an insider. Finally, we’ll focus on those challenges that transcend borders and discuss techniques and strategies to overcome them.
    #0 PLENUM

  • Cheffelo are building a new data platform to support our 300+ colleagues and our thousands of customers across Scandinavia. This is a huge initiative which involves many different workstreams and projects, but it requires so much more than just writing the code. It requires a cultural change in the team, hiring the right people, implementing a new way of working, and getting the whole organisation bought into the vision of the new data platform. In this talk I will explain why we're building the new data platform, what we have done in order to get to where we are today, and how you can learn from what went well... and what didn't go so well.
    #2 DATA
    Hvor
    DATA

  • Join film director and founder of Reimagine and Oslo Kreativ AI, Christian Schüssler, on an inspiring journey into the next era of creativity and storytelling. Drawing from his documentary work and insights from leading researchers and innovators at Stanford, MIT, Adobe, and Runway, Christian explores how artificial intelligence is revolutionizing the creative process and empowering artists to bridge the gap between imagination and reality. Learn how these advancements are democratizing content creation, fostering innovation, and unlocking new realms of visual expression and narrative possibilities.
    #3 SMART

  • Both Vipps and MobilePay had grown out of their Data Warehouses before the merger, so once the merger happened the scene was set to invest in a modern data platform. Governed access to well labeled data for everyone – and not just through a BI interface. How have we enabled all data producing teams to publish their data self-service? What happens when everyone get access to run their own SQLs? How do you drive adoption to a brand-new data platform? What were the challenges and learnings along the way? Join my talk and I’ll tell you all about it.
    #1 MAKE

  • Join us for an interactive introduction to Microsoft Fabric, where you'll explore the core tools and features that streamline data integration and analytics workflows. In this session, you'll learn how to get started using Microsoft Fabric's unified platform. Attendees are encouraged to bring their laptops and ensure access to a Fabric (Free Trial) Capacity for hands-on participation, though following along without active participation is also welcome. Get ready to take your first steps toward transforming data into actionable insights with ease!
    Immersive Session

  • Data platform initiatives have been around for a while now, but many still struggle to have them fulfill their purpose of transforming an enterprise into a data-driven organisation. The key to this is understanding that data is not just tables with data values, but a set of linked entities representing the real world, with associated quality, lineage and business rules. This interactive session will introduce the concept of knowledge graphs and explore how they can be used to drive a data-driven culture change in an organisation.
    Immersive Session

  • Abstract: This presentation will address the intersection of data management regulatory compliance with the EU AI Act and the General Data Protection Regulation (GDPR). The session will provide a detailed analysis of the data requirements imposed by the AI Act and how they align with and diverge from the GDPR, focusing on practical strategies for achieving compliance while ensuring robust data governance.
    #2 DATA

  • The Challenge – Aker Solutions is a big international organization operating in several large segments within the Energy Industry. Consequently, the majority of the work performed by the employees is very domain specific. How can a centralized AI investigation team approach the challenge of exploring and developing domain-specific use cases in an efficient manner? The Solution – By implementing an application that works both as a general RAG chat service and a testing ground for more complex domain-specific use cases, the goal of this approach is to fulfil both the general and specific needs within the organization. Some domain-specific use cases the solution is solving are 1) Feedback module for constructive and positive feedback on documents, 2) Ability to compare guidelines to documents and 3) Chatbot connection to Confluence documentation. Technical Solution – Presentation of architecture and infrastructure. Explain the general functionality and how exploration is facilitated. Implementation of use cases – Give an explanation of how new use cases are gathered and how these use cases are explored and possibly implemented by the investigation team. Example use case – BidAI: Brief description of how the solution works toward bids, and why this provides value for the organization.
    #3 SMART

  • Discover how transitioning from a monolithic architecture to a decentralized Data Mesh, powered by Snowflake in TET Digital, transforms data management. Learn how this shift accelerates innovation, empowers teams, and drives scalable insights across the enterprise.
    #1 MAKE

  • At Entur we have been attempting to apply Data Mesh Principles for the last 2 years, starting very small, and gradually scaling. We hope to be able to share some key learnings to address the pain points from our attempt at applying these principles, so that others may not make the same mistakes. The main point will be that our biggest failure has been in doing too many new things, too soon.
    #1 MAKE

  • In this presentation, we explore the transformative potential of Generative Adversarial Networks (GANs) and synthetic data in revolutionising risk analytics. This collaboration uses GANs to enhance personal loan model accuracy by augmenting default cases with synthetic data. We detail how these technologies boost model performance through a case study comparing outcomes with and without synthetic data, highlighting realistic improvements in risk analytics. Discover the future of risk with generative AI.
    #2 DATA

  • In this one hour constructor led hands-on training you will set up your own Snowflake Environment and learn how to load and transform data. You will be working with the scalable compute clusters and learn how to utilise the platform for the best possible developer experience! You will work with structured and semi-structured data and learn how to easily share data. In order to join the session you need a laptop with access to the internet, sql knowledge and an open mind. NB! this is an immersive session with limited spots! Registration is required through our booking system!
    Immersive Session

  • In this session, we will talk about the role and practice of data modeling. First, there will be an introduction to the concept of data modeling, its history, and evolution over time. After the introduction, we will discuss some hypotheses to balance the “hotness” and “notness” of data modeling, as positive impacts can be improved data quality and increased efficiency, while negative impacts can be complexity and issues with scalability. Lastly, we will share and discuss thoughts and experiences on the topic, and hopefully by the end of the session, have some consensus on whether (and/or when) data modeling is hot or not. No laptop needed.
    Immersive Session

  • Join us as we explore Skatteetatens cutting-edge data platform designed to meet diverse needs—from traditional data warehousing to operational and advanced analytics—using Azure Databricks. We will focus on how Skatteetatens data platform team leverages infrastructure as code and Terraform to seamlessly package and integrate services. Discover how we empower analysts with self-service capabilities to order personal or team-centric analytical environments/sandboxes. We'll also share our journey in developing a custom Terraform provider, enabling us to remove manual processes and handovers, while streamlining access control management.
    #1 MAKE

  • In this presentation you will learn more about information management and see practical examples with Purview and M365. You will hear about the process for agreeing on a design for a large and complex organization, including stakeholder management and executive support. We will also touch upon considerations around adoption for end users. The key takeaways include practical examples on how to do information protection including sensitivity labels and data protection, and data lifecycle management including record labels.
    #2 DATA

  • Åpne datakilder kan gi informasjon om hvor og når etterspørselen etter ulike typer varer og tjenester er størst. Informasjon om befolkning, konkurrerende og komplementære servicetilbud, trafikk og arbeidsplasser er eksempler på data som kan fortelle mye om etterspørselen etter varer og tjenester på ulike steder. Ved å kombinere slike data med en virksomhets egne data kan man bygge maskinlæringsmodeller og dermed bruke dataene på en smart måte. Hvilken beliggenhet vil gi størst lønnsomhet når man skal etablere et nytt utsalgssted? Vil et sted med stor etterspørsel og samtidig hard konkurranse være mer lønnsom enn et sted med mindre etterspørsel og mindre konkurranse? Eller motsatt, hvis man skal redusere antall utsalgssteder, hvilket utsalgssted vil få minst negativ effekt av å bli fjernet? Vi vil presentere flere kundecaser, inkludert Kople, som har et landsdekkende ladenettverk med over 7000 offentlige ladere. Kople bruker maskinlæring som beslutningsgrunnlag når de planlegger nye ladestasjoner. Vi vil forklare hvilke data som benyttes, hvordan maskinlæring brukes og hvordan beslutningsgrunnlaget ser ut i praksis. Vi vil også vise hvordan tilsvarende fremgangsmåte kan brukes for å planlegge utsalgssteder innen andre bransjer.
    #3 SMART

  • How do you define and communicate a clear AI vision that resonates with all stakeholders, securing buy-in and support across your organization? It’s about mastering the balance between moving quickly to seize short-term opportunities and planning strategically for long-term growth. While at the same time, it's about telling your story in a compelling way that convinces people that you are committed to their success. This talk will give suggestions to get support and success from my experience with working with AI & Data strategies for 10 years.
    #1 MAKE

  • Silo in data analytics community in an organization happen when data is scattered in many different systems. This talk is about how Telenor reduces data silo with data integration solution based on metadata driven approach.
    #2 DATA

  • Marketers often have the most rich and detailed data in the enterprise yet only a small fraction of data is used due to data silos. How can data professionals help Marketing become more data driven? During the presentation we will explore the top use cases and customer examples for AI and Analytics in Marketing. Examples include how Google Analytics data can be enriched with 1P data to improve ROI, and the use of Generative AI in marketing campaigns.
    #3 SMART

  • Immerse yourself in the world of intelligent data pipelines with hands-on experience in constructing flexible, smart solutions. This workshop showcases how to build smart solutions that adapt to changing business needs, providing a competitive edge in today's data-driven landscape.
    Immersive Session

  • Edda.ai og Twoday vil presentere hvordan de har bistått massasjekjeden Squeeze med å effektivisere ansattes tid med hele 35 %. Systemet som er utviklet tar i bruk maskinlæring for å predikere etterspørsel, som siden brukes i en optimeringsmodell for å foreslå optimal bemanning. De som håndterer bemanningen hos Squeeze har tilgang til et brukergrensesnitt der de kan endre på selve optimeringsmodellen, hvilket gjør systemet svært fleksibelt ved å indirekte la de være med på justere hvordan bemanningsforslagene blir seende ut. Squeeze har gått fra å være en start-up i rask vekst siden oppstarten i 2022, til i dag å være et lønnsomt, datadrevet selskap. Remi Morken, CEO i Edda.ai og Tomas Spangelo, AI-spesialist i twoday, vil vise den datadrevne reisen til Squeeze, hvordan optimeringsmetoder og maskinlæring hjelper dem med å oppnå positive resultater og ikke minst hvordan dette kan overføres til andre virksomheter og bransjer.
    #1 MAKE

  • Figuring out what you’re allowed to build on a property in Norway is incredibly challenging! The regulations are fragmented, inaccessible, complicated, and filled with technical jargon. Norkart is therefore applying large language models to make the regulations more understandable and accessible—both for architects, engineers, citizens, and the municipalities themselves.
    #2 DATA

  • KI i dag brukes ofte synonymt med enormt store, komplekse, hemmelige, generative språkmodeller. I denne presentasjonen får du høre om tre eksempler på det motsatte hos ung.no. Små, relativt forståelige, åpne, prediktive KI-modeller, som brukes til å effektivisere administrasjon for nettjenesten ung.no. Ikke all KI er en GPT, ikke all KI bor inni en sort boks.
    #3 SMART

  • Make sure to hang around for the afterparty! This year we will have AI-generated music mixed live By djAI Maxim aka Maxim Salnikov, App Innovation Business Lead at Microsoft! The Art Exhibition is still open for viewing, so are the partner stands! We serve some food and drinks and look forward to a chill evening after an inspiring day.