AI Con USA 2025 - Neural Architectures
Tuesday, June 10
Common Software, Data, and AI Architectures and the Ways They Fail
NewThis tutorial will examine the complexity that lives in software systems, data ingestion workflows, MLOps pipelines, and artificial intelligence systems. This session blends together cloud architecture, quality assurance, risk management, and security mindsets as Matt Eland explores how modern systems are structured, the problems their complexity helps us solve, and the ways these systems can break - or be broken. The session will alternate between interactive lectures with practical illustrations and group exercises around case studies as you explore how existing systems can fail and what...
Wednesday, June 11
Moving from Reproducible Data Science to the World of LLM, GPT, RAG, and Hallucination
We are moving from the world of reproducible data science (machine learning, area under the curve, a/b testing, model selection, model testing, model fitting and model drift to find the best way to run a data science organization) to being faced with the "Easy Button." This "Easy Button" is often wrong, has poor data protocols, and tries to please; without factual basis. Join Bob to explore ways to make the world better in the bridge from science to the new world of utterances. This session will include examples and experiences from IBM Watson, AI at GE Healthcare, AI at Microsoft, and...