This talk will explore how blending AI and data analytics with human-centered values can drive sustainable business transformation. We will discuss an insight-driven approach to decision-making that considers both advanced analytics and conscious intelligence for balanced growth. The aim is to foster an ethical ecosystem that uses AI responsibly to serve business optimization as well as broader community goals.
Generative Pre-trained Transformers (GPTs), customized with domain-specific data and techniques like Retrieval Augmented Generation (RAG), can transform the scaling of expert knowledge. They hold the potential to benefit many, if governed correctly. Beginning with a recent implementation of a customized GPT in healthcare, Bjarke will explore the client's objectives and concerns regarding end-user experience, accuracy, and compliance, and discuss how customization and governance addressed these issues.
Join us for an enlightening journey into the world of AI in business operations! Discover how AI is transforming businesses across various industries and unlocking new levels of efficiency and innovation. From AI-powered chatbots revolutionizing customer service to full scale business process automation with advance AI automation, this talk will showcase real-world examples of AI in action.
In "Red Carpet Ready: Perfecting Your Data for its AI Oscar Debut", the speaker unveils the glitz, glamour, and intricacies of data utilisation in the media and entertainment realm. Drawing parallels between Hollywood's pursuit of perfection and the rigorous refinement of data, this illuminating presentation showcases how the sector has harnessed data to unleash AI's transformative potential. From groundbreaking use cases to unprecedented opportunities, attendees will be treated to a riveting behind-the-scenes look. However, like any blockbuster, challenges arise; the talk doesn't shy away from addressing the hurdles and debates shaping the AI-driven future of entertainment. It promises a comprehensive lens into the symbiotic relationship between data, AI, and the world of entertainment.
This presentation will chart the remarkable advancements in artificial intelligence over the past year, with a particular focus on Large Language Models (LLMs). We'll explore their transformative potential and how organizations can harness these technologies to redefine the landscape of innovation and efficiency.
In this talk, we will discuss the steps that every decision-maker should take before starting an AI project (but also during its execution). We will review the key planning aspects and risks of running AI projects in order to learn how to avoid common mistakes and problems.
In this talk, we will delve into the nuances of attacks on Large Language Models, we will explore the most critical threats related to the usage of LLMs in our applications and we will talk about the possible mitigation strategies for those threats. OWASP Top10 for Large Language Models will be discussed. Participants will gain knowledge of the most important guardrails to apply when using this technology.
In this presentation we explores the anticipated capabilities of the next-gen GPT. It emphasizes how its success hinges on the quality and volume of training data. Highlighting academic research, it suggests that superior data could enable the next GPT to reach genius-level IQ, addressing the limitations faced by predecessors like GPT-3 and GPT-4 due to data quality. The talk also discusses the potential depletion of high-quality data sources by 2027, stressing their critical role in advancing language models.
Vebjørn will look into different legal matters relevant for a business’ use of AI.
Business is accepting the correct level of risk, and that AI usage present risks does not mean you should not use AI.
There are important differences between different AI services in relation to the security for your inputs as well as provisions in the terms.
Per-Kaare will show how law firms can navigate and use Generative AI. He will talk about practical use cases and discuss benefits and hurdles.
How can organizations ensure that AI is being used and developed in a safe and ethically responsible way? We present simple principles and guidelines to safeguard customers’ trust and organizations’ ability to realize value within acceptable risk levels. Deep dive on cyber security, privacy, and a changing threat landscape.
Explore the financial landscape for AI projects: uncover the support you could be eligible for, understand the different offerings by Innovasjon Norge and Forskningsrådet, and learn the application do's and don'ts with Hanne and Maria from Sildre as your guides through the maze of aid mechanisms.
What could possibly go wrong? In this talk, we will discuss the challenges to moving from the research phase of a machine learning project to its deployment. Having a “good” model is just a first step to a production ready AI system. We will talk about things to consider before your models leave the lab and things to consider after they are deployed.
