Shawn Kyzer

Shawn Kyzer

Associate Director, Data Engineering, Research & Early Science at AstraZeneca

    Shawn is passionate about harnessing the power of data engineering, strategy, and analytics in order to help businesses uncover new opportunities. As an innovative technologist with over 15 years of experience, Shawn removes technology as a barrier and broadens the art of the possible for business and product leaders. His holistic view of technology and emphasis on developing and motivating strong engineering talent, with a focus on delivering outcomes whilst minimising outputs, is one of the characteristics which sets him apart from the crowd. Shawn’s deep technical knowledge includes distributed computing, cloud architecture, data science, machine learning, and engineering analytics platforms. During his time at the NIH, he gained valuable experience working with researchers to develop innovative solutions for a variety of healthcare challenges. His expertise in these areas has allowed him to provide valuable insights and guidance to researchers as they work to improve the lives of patients. He also has years of experience working as a consultant practitioner for a variety of prestigious clients ranging from secret clearance level government organizations to Fortune 500 companies.

    All Sessions by Shawn Kyzer

    Training Europe 06/22/2024

    Designing AI Architectures with Domain-Driven Design: A Use Case-Centric Approach

    Machine Learning| Beginner-Intermediate

    In the rapidly evolving landscape of artificial intelligence, designing architectures that effectively align with business objectives and deliver lasting value remains a critical challenge. This talk presents a fresh perspective on tackling this challenge by leveraging the power of Domain-Driven Design (DDD) in the context of AI system development. Through a use case-centric approach, we will explore how DDD principles can be applied to create modular, scalable, and maintainable AI architectures. We will delve into key concepts such as bounded contexts, microservices, and tactical patterns, and demonstrate their practical application in designing AI systems. Attendees will learn how techniques like Supervised Fine-Tuning (SFT), Retrieval-Augmented Generation (RAG), and AI Agents can be seamlessly integrated into a DDD-based architecture to enhance performance and context-awareness. Real-world case studies will showcase the successful implementation of these approaches and provide valuable insights into overcoming common challenges. Throughout the talk, we will emphasize the importance of collaboration between domain experts, architects, and developers in creating AI systems that are closely aligned with business goals. We will also discuss future trends and opportunities in AI architecture design, inspiring attendees to push the boundaries of what is possible. Whether you are an experienced data practitioner or just starting your AI journey, this talk will equip you with a practical framework for designing AI architectures that deliver tangible business value. Join us as we explore the intersection of DDD and AI, and discover how this powerful combination can transform the way we build intelligent systems.

    Open Data Science

     

     

     

    Open Data Science
    One Broadway
    Cambridge, MA 02142
    info@odsc.com

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