Main Conference Agenda 2025

Building AI solutions involves critical strategic choices impacting cost, performance, and time-to-market. GenAI use cases and associated compute need has grown exponentially in the last 2-3 years. AI developers have been posed with decisions on how to architect their applications selecting between models, training, fine-tuning, and inference techniques, managed vs. self-managed options to building AI models and applications. This session offers a pragmatic framework for navigating those choices. We'll demystify AI Infrastructure selection and deployment approaches, empowering you to make informed decisions that align your AI initiatives directly with business objectives.