We extend our heartfelt thanks to all our partners for their invaluable support. Attendees can expect a dynamic exploration of AI advancements, including keynotes, panels, and workshops designed to foster innovation and collaboration. Together, we will discuss and shape the future of AI, envisioning how it continues to transform our lives and industries.
Silvija will talk about Applied AI in different industries, and why we must look beyond the hype and beyond ChatGPT and Copilot. She will also talk about how to navigate the uncertainties of these dynamic times with good transformations and good strategies.
How to kickstart your journey to become a data driven organization by utilizing generative AI, pre-trained models and unique business data to gain competitive advantages. We will show how a usecase from REN and how they applied a lean innovation methodology to launch new generative AI based services to their customers, and still keeping it within limited budgets.
AI advances rely on big data, improved computation, and complex algorithms. Specialized domain knowledge is essential for applying AI effectively, as shown by Völur in the meat industry. Völur's approach highlights the transformative potential of combining industry expertise with AI.
After exploring numerous successful AI use cases, I will guide you through the initial steps of integrating AI into your product. This includes starting your AI journey, making informed choices, and transforming these elements into a viable product. Join me as we delve into the process of adding a 'brain' to your products through artificial intelligence.
A practical look at the interface between AI Act and GDPR by Inge Brodersen (partner in Schjødt)
GenAI offers great potential but comes with risks. At Dell, we use GenAI carefully in our processes. Many employees use GenAI without guidance, known as shadow AI. Learn about the potential and risks in this lecture.
AI guidelines tend to be vague and non-actionable. Join us as we uncover Ethics by Design: A hands-on guide to responsible AI, EY and Langsikt's step-by-step guidelines for developing and using AI responsibly. In their ethics by design approach, they describe how to incorporate ethical considerations when handling data, training or fine-tuning AI models, or utilizing a trained AI model.
Imagine a future where every home effortlessly evolves into its best version. A tomorrow where the complexities of decision-making and planning give way to a singular focus: a home that's always updated, always safe, and always beautiful.
Information has utility in as much as it can be trusted. Most human endeavours that push the world forward are collective by nature and rely on such information. Brua sculpts AI to expand our collective potential by transforming the way we leverage information.
Discover the future of renovation and join us on a quiz session focused on how to create a more sustainable and user-centered renovation experience!
Explore the world of AI with our engaging paperback designed for teenagers and curious minds of all ages! This resource empowers young readers and adults alike to proactively engage with AI, fostering a society that not only adapts to but thrives in the technological landscapes of tomorrow.
Interview by: Yngvar Ugland EVP & Head of New Tech Lab DNB
We extend our heartfelt thanks to all our partners for their invaluable support. Attendees can expect a dynamic exploration of AI advancements, including keynotes, panels, and workshops designed to foster innovation and collaboration. Together, we will discuss and shape the future of AI, envisioning how it continues to transform our lives and industries.
The latest advancements in large language models (LLMs) include innovative data extraction techniques like zero-shot learning, which enables models to tackle untrained tasks. The "chain of thought" method allows models to sequentially reason through problems, enhancing problem-solving capabilities. Additionally, the "tree of thoughts" approach explores multiple reasoning pathways simultaneously, improving the depth and nuance of model insights.
Large language models are evolving into multimodal systems, capable of generating and interpreting not only text, but also images, audio, and video, and seamlessly integrating these different modes of data representation. And as AI continues to advance, it will fundamentally reshape how customers engage with your company. What will tomorrow’s user interfaces (UIs) entail? How will it impact your users, and what challenges will it pose for your organisation?
Generative AI is transforming the energy and manufacturing industries, offering unprecedented opportunities. However, Industrial AI requires context, necessitating a digital representation (known as a Knowledge Graph) to ensure trustworthy AI solutions.
My talk will examine how AI is transforming the field of virtual powerline inspections, leading to methods that are not only more effective and trustworthy but also more economically viable. The complexities encountered when scaling AI applications to meet the varied demands of numerous utilities Potential solutions including the use of Collaborative AI that works with humans, and Adaptive AI that tailors its functions to specific requirements.
Up to 80% of the time spent building AI algorithms is spent in the data preparation phase, where data labeling is one operation that needs to be performed with high quality. Naya Development, a Norwegian data labeling vendor, shares their experiences through specific use cases on how to get to a Proof of Concept and move into the production phase.
There is so much more to applied AI than algorithms and models. Based on our experience we
will show what it really takes to succeed with AI in your business.
Reporting is a time-consuming core process in many companies, especially in the aid sector which has defined reporting requirements for its donors. Let me present to you how we built it for Plan Norge.
Large language models are revolutionizing our thinking about AI and the way we design AI systems. In the last few years, LLMs have proven themselves to be a versatile and powerful tool. It has been four years since the release of GPT-3, yet we are still learning how to use it properly. Many scientific efforts have been recently put into designing advanced prompting methods and developing agentic design patterns. I will overview the most interesting techniques, not for improving the tool, but for improving the way we are using it.
As generative AI technologies advance at a rapid pace, the question arises: will they be our greatest asset or our biggest threat? This session delves into the dual-edged nature of generative AI, exploring its potential to revolutionize industries and improve lives, while also considering the ethical and existential risks it poses.
Julia will be telling how Elkjøp Nordic AS is using AI in order to provide real customer hence business value today. With "shit in - shit out" principle, Julia will show practical examples on how Elkjøp has transformed their customer facing recommendation engine from commercial gut feeling to "what you cannot measuere doens't exist", data-driven excellence with Dynamic Yield.
