Cloud Technology in the North

Abstract
Through decisions we prepare our actions. But as actions shape not only our individual lives, society has long aimed to shape individual decision making through a variety of guardrails, from social norms to formal laws. As more and more decisions may be delegated to machines, how shall society aim to shape these decisions? What guardrails do we need? We suggest that rather than a concrete blueprint for guardrails, we need to look at design principles and offer three (plus one) to ensure continued human flourishing.

About the Speaker
Viktor Mayer-Schönberger is professor of Internet governance and regulation at the University of Oxford. He is the (co-)author of over a dozen books, including international awards-winning bestsellers, such as “Big Data”, “Delete” or “Framers”. His latest book, with Urs Gasser, is GUARDRAILS (Princeton University Press 2024). In addition to his research and teaching he advises governments, companies and international organizations on the knowledge economy.

Abstract
Semantic search transforms traditional search by understanding the meaning behind queries to deliver more accurate and relevant results.
In this session, we’ll review the core components of semantic search and demonstrate practical ways to improve key areas, such as semantic chunking, query optimization, and hybrid retrieval, using code examples with the LlamaIndex library. Join this session to enhance your understanding of semantic search!

About the Speaker
Shiran is a Senior Machine Learning Scientist at Booking.com with over eight years of experience in NLP, deep learning, and algorithm development. Specializes in developing end-to-end NLP systems that deliver impactful results. Previously at Zencity, Shiran developed NLP systems to analyze large-scale data and provide actionable insights for local governments.