A Tale of GenAI Strategy, Semantic Search, and LLM Integration with Google Cloud
Join this event at Tech-Talk Petersplatz in Zürich to explore the potential of GenAI and the challenges it presents, along with the critical considerations of organizational structuring and operating models. Learn about the RAG approach, blending semantic search with large language models, and the integration of Google Cloud services with leading Open Source tools. Gain insights into AI-driven insights and the application of GenAI models in organizations. Ideal for business leaders, IT professionals, and data engineers looking to harness the power of AI and Google Cloud.
- Date: Tuesday, May 28, 2024
- Time: 15:30 - 19:00
- Location: Tech-Talk Petersplatz, building EURD, Europaallee 20, 8004, Zürich, Switzerland
Program
15:30 Doors open
15:50 Welcome and Introduction - Jazz Kang
16:00 GenAI Strategy - Herbert van Leeuwen
16:35 Break
16:50 RAG: Blending Semantic Search With LLMs - Krzysztof Zarzycki and Marek Wiewiórka
17:25 Panel Discussion
18:00 Apero
GenAI Strategy
Join Herbert in this session as he delves into the immense potential of Gen AI and the challenges it presents. Explore the critical considerations of organizational structuring, the build vs. buy dilemma, and the decision between open source and off-the-shelf tooling. Gain valuable insights into various operating models and benefit from real-world use case examples that will enrich your understanding of this transformative technology.
RAG: Blending Semantic Search With LLMs
AI's greatest impact is realized when it amplifies its intelligence by accessing and understanding vast repositories of existing knowledge. Retrieval Augmented Generation (RAG) approach has become the keystone for this, blending the power of semantic search with large language models (LLMs). We'll explore the architectures and best practices for RAG implementations, spotlighting the integration of Google Cloud services with leading Open Source tools like LlamaIndex and LangChain. Moreover, we will show integration of data from existing data warehouses using text-to-SQL, ensuring security through data masking, multi-tenancy, and beyond. Embark on a voyage to the forefront of AI-driven insights with us.
Panel Discussion
An enticing conversation about where GenAI models are going and how are they being applied. For some organizations they are getting started with their first Hello World prototype, while others are already embarking on setting up Software as a Service GenAI-powered solution. Opportunity to get into the nitty-gritty of what is going on and of course; the good, bad, ugly of it all.
Speakers
Jazz Kang
Jazz Kang, London-born, Technology, Strategy, and Innovation Executive. Jazz has a passion for injecting start-up drive and culture into large-scale organizations through incubator projects to drive new approaches to traditional business and customer engagement models. He has pioneered projects for a wide range of companies with an impressive track history which includes projects in .com, cloud computing, data, and confidential computing. Through the years, Jazz has cemented his place in the Digital Music industry with the “Digital Achievement of the Year” award. Jazz currently consults in Strategy and the adoption of cloud services.
Krzysztof Zarzycki
Krzysztof is the co-founder and CTO of GetInData | Part of Xebia. Armed with a major in Computer Science from Warsaw University, he has spent 15 years paving the way in the field of big data, software, and AI. Krzysztof has worked in a range of roles, including engineer, architect, and consultant, which have led him to his current position as CTO. Krzysztof is passionate about the latest innovations in the data world, especially obsessed with advances around real-time processing, MLOps, and AI bringing real business value.
Marek Wiewiórka
Marek is a seasoned Big Data and Cloud Architect with almost 20 years of experience in designing and implementing Data, AI, and MLOps Platforms both on-premise and in the cloud. Currently Chief Data Architect @GetInData | Part of Xebia and Assistant Professor at Warsaw University of Technology after defending his PhD dissertation in bioinformatics. In the past, a data engineer/consultant at Truecaller, ING, PLAY, Volt.io, and several other companies. Privately - a keen long-distance runner, gravel bikes enthusiast, and absolutely in love with the Italian Lakes and Strade Bianche of Tuscany!
Herbert van Leeuwen
Herbert is a data scientist who has transitioned into a role as a data strategist. He is dedicated to the belief that the most effective AI solutions are born from the intersection of strategic vision and advanced technical expertise. With a fervent passion for data, analytics, and AI, Herbert actively engages in guiding companies towards harnessing the full potential of AI and facilitating successful transitions to data-driven organizations. In his capacity at Xebia, Herbert provides extensive support to clients, offering expertise across a broad range of operational and strategic domains.