Join two expert-led sessions aimed at technical leaders, developers and data scientists for an in-depth look at Retrieval Augmented Generation (RAG) and multimodal data integration.
See real-world prototypes in action and learn how to build efficient RAG systems capable of processing diverse data - text, images, tables and video - using generative AI.
Learn effective strategies to improve the performance of RAGs to overcome the toughest challenges such as accuracy, scalability and real-time data integration in enterprise applications.
Hear more from Taras Hnot, Principal AI Consultancy Lead from SoftServe, a global leader in technology consulting and digital transformation, and Asaad Almutareb, founder of Artiquare, an AI-driven startup pioneering intelligent, knowledge-based automation.
Who should attend?
- Tech-savvy professionals who want to stay at the forefront of RAG systems
- Developers/software engineers,
- Data scientists, data engineers
- Technical researchers,
- Technical directors and technical managers
- Technically savvy founders
- Specialists for AI and machine learning in companies
- Product managers for AI/ML and data products
- Researchers and academics in the field of AI and machine learning
Agenda
- 11:00 - 11:05 Welcome, KI Park
Mark Karahan, Programme Director, KI Park - 11:05 - 11:25 RAG systems for Multi-modal Data
Taras Hnot, Data Science Principal Lead, Softserv - 11:25 - 11:45 Overcoming Limitations in Retrieval-Augmented Generation (RAG)
Asaad Almutareb, Founder, Artiquare - 11:45 - 11:50 Summary
Online