AI/ML
Finetuning Your Embedding Model for Better Search: Learning from Agentic Search at Dell
Tuesday Jun 2 / 02:30PM EDT
Embedding models are a foundational component of modern ML systems, enabling clustering, ranking, and large-scale information retrieval.
Rachel Shalom
AI Applied Scientist & Distinguished Engineer @Dell, 7+ Years Experience Turning Cutting Edge AI into Real World Impact
Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Monday Jun 1 / 02:30PM EDT
Most conversations about production AI agents focus on the agent itself — the prompts, the orchestration, the framework. But the moment you put an agent in front of real enterprise data, a different problem dominates: the data layer wasn't designed for this consumer.
Fabiane Nardon
Data Expert, Java Champion & Data Platform Director @totvs
Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Monday Jun 1 / 11:30AM EDT
AI coding agents are powerful out of the box, but they don't know your company. They can't navigate your services, understand your frameworks, query your data systems, or follow your organizational processes.
Ajay Prakash
Senior Staff Software Engineer @LinkedIn
From Fab To Token - The State Of The Market
Tuesday Jun 2 / 10:20AM EDT
This talk delivers a data-driven summary on the physical and economic bottlenecks in the AI infrastructure market today. We will cover the diverging strategies between traditional hyperscalers and specialized "Neoclouds," supported by deep supply chain data.
Jordan Nanos
Member of Technical Staff @SemiAnalysis, Previously Distinguished Technologist @HPE
There's a Mod for That: Opening Up AI Agent Development
Monday Jun 1 / 01:20PM EDT
AI agents are moving amazingly fast — but they could be moving even faster. Today's agents are monolithic: one vendor controls the model, the tools, and the context pipeline. That works, but it leaves an enormous amount of potential on the table.
Niko Matsakis
Senior Principal Engineer @Amazon, One of the Lead Designers of the Rust Programming Language, Creator of Symposium (symposium.dev), Project Director on the Rust Foundation Board
From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Monday Jun 1 / 03:40PM EDT
Consumer AI is rapidly evolving beyond one-shot predictions toward systems that reason, plan, and adapt in real time.
Sudeep Das
Head of Machine Learning and Artificial Intelligence, New Business Verticals @DoorDash, Previously Machine Learning Lead @Netflix, 15+ Years in Machine Learning