Abstract
What is an unconference?
An unconference is a participant-driven meeting. Attendees come together, bringing their challenges and relying on the experience and know-how of their peers for solutions. A professional facilitator is also there to help keep the discussion moving forward, but where it goes is up to the participants.
It's a facilitated peer group that avoids the hierarchical aspects of a conventional conference, such as a top-down organization. Only the broad themes are predetermined. Everything else is just space for attendees to sound off ideas together, relate to shared challenges and rewards, and identify new ideas and goals.
Our unconference sessions have been based on the Open Space Technology and Lean Coffee format since 2006.
Why are we doing unconference sessions?
We have designed QCon for senior software practitioners. That role comes with demanding challenges and complex problems.
Connecting with your peers in a structured environment allows you to:
- Broaden your perspective with the benefit of the experience of others.
- Challenge how you've been doing things by breaking out of your bubble.
- Learn from peers who have already overcome the challenges you're facing now.
- Benchmark your solutions against other teams and organizations.
- Get real-world perspectives on challenges that might be too novel or specific to find solutions in books or presentations.
- Validate your technical roadmap with real-world research.
- Connect with others like you and build relationships that go beyond the event.
QCon New York 2023 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
Part of the track
MLOps: Navigating the Terrain of Large-Scale Models Hosted by Bozhao (Bo) Yu Founder @BentoML.aiFrom the same track
Wednesday 14 June
10:35 Salon D Session ML Infrastructure Introducing the Hendrix ML Platform: An Evolution of Spotify’s ML Infrastructure Divita Vohra, Mike Seid The rapid advancement of artificial intelligence and machine learning technology has led to exponential growth in the open-source ML ecosystem. 11:50 Salon D Session Machine Learning Improve Feature Freshness in Large Scale ML Data Processing Zhongliang Liang Engineering Manager @Facebook AI Infra In many ML use cases, model performance is highly dependent on the quality of the features they are trained and inference on. One of the important dimensions of feature quality is the freshness of the data. 13:40 Carroll Gardens Unconference Unconference: MLOps What is an unconference? An unconference is a participant-driven meeting. Attendees come together, bringing their challenges and relying on the experience and know-how of their peers for solutions. 14:55 Salon D Session AI/ML A Bicycle for the (AI) Mind: GPT-4 + Tools Sherwin Wu, Atty Eleti OpenAI recently introduced GPT-3.5 Turbo and GPT-4, the latest in its series of language models that also power ChatGPT. 16:10 Salon D Session MLOps Platform and Features MLEs, a Scalable and Product-Centric Approach for High Performing Data Products Massimo Belloni Data Science Manager @Bumble In this talk, we would go through the lessons learnt in the last couple of years around organising a Data Science Team and the Machine Learning Engineering efforts at Bumble Inc. 17:25 Salon D Panel Panel: Navigating the Future: LLM in Production Sherwin Wu, Hien Luu, Rishab Ramanathan Our panel is a conversation that aim to explore the practical and operational challenges of implementing LLMs in production. Each of our panelists will share their experiences and insights within their respective organizations.