Generative AI is dominating the conversation about software delivery currently. While we all likely agree that it will have a significant impact on the software delivery lifecycle, we likely don’t yet agree on what that impact will be specifically. However, we do have indications, particularly as it relates to software architecture.

In this keynote, Dr. Parsons will delve into architectural patterns and strategies that are specifically tailored for AI applications, including microservices for AI, serverless architectures for machine learning, and architectures for edge AI. The session will also provide an overview on how to manage the lifecycle of AI models, handle high-volume real-time data, and deploy AI solutions at scale. Through the exploration of these methodologies, participants are set to acquire  insights into how these strategies will support the needs of AI applications and allow organizations to achieve evolvability of their systems and agility of their businesses.