Tikhon Jelvis: Better Code Design with Types and Concepts
Jonas Mueller: Keys to Data-Centric AI: Asking AI to Improve its own Dataset
Sherin Thomas: Recipe for Building a Discoverable and Governed Data Platform.
Dr. Ivan Perez: Open Source in Space: Challenges Developing and Adopting Open Source Tools for Aeros
Evan Chan: Lessons Learned: Porting a Streaming Data Pipeline from Scala to Rust.
Jeremy Smith: Aging: Evolving Software, Tools, and Ourselves.
Welcome the 1st lineup of speakers!
Anthony Annunziuata: AI, Quantum, & AI + Quantum: What’s Real, What’s Coming, and What’s the Point?
Gonçalo Martins Ribeiro: Unlocking the Power of Data-Centric AI: Mastering Data Preparation for ML
Pathikrit Bhowmick: Full Stack Scala Web Application.
Dipankar Mazumdar: Apache Iceberg: enabling an open lakehouse architecture for large-scale analytics
Annie Talvasto: Kubernetes and MLOps for Scalable and Reproducible Generative AI.
Denis Magda: Too Far Too Furious: Multi-Region Cloud Applications.
Sinan Pehlivanoglu: Oblivious Privacy in a Statically Typed World.
Josh Tobin: Test-driven development for large language model applications.
Kendall Roden: Building scalable distributed systems powered by Dapr OSS.
Zander Matheson: Scaling Embeddings in Real-Time.
Viktor Gamov: Gateway to the Future: A Brief History of Kubernetes Ingress
Fabiana Clemente: Unlocking the Power of Data-Centric AI: Mastering Data Preparation for ML Success.
Danica Fine: Practical Pipelines: A Houseplant Alerting System with ksqlDB.