MLOps Community London Chapter @ Google
Details
Welcome to the official MLOps community London chapter 👋 Come join us at Google for this month's packed session with talks from three members of our community.
🕒 6pm - Welcome chats with snacks/drinks
---
🕒 6:30pm - Why ML should be written as pipelines from the get-go
🎤 Hamza Tahir, Co-founder at ZenML - LinkedIn
The mechanism through which ML propagates through an organisation from experimentation to production is key to its success. Oftentimes, there is a tendency to break this mechanism into a multi-step process, where experimentation workflows are siloed from their production counter-parts. This "Throw it over the wall" anti-pattern can stunt the velocity of ML teams. In this talk, we talk about why teams should unify this multi-stage process, and give data scientists more agency to exercise control over their production workflows. We'll also go through a practical demonstration with creating a unified MLOps pipeline with ZenML
---
🕒 7:05pm - ML Governance: A Practical Guide
🎤 Ryan Dawson, Principal Data Consultant at ThoughtWorks - LinkedIn
🎤 Meissane Chami, Senior Consultant at ThoughtWorks - LinkedIn
ML Governance is often discussed either in abstract terms without practical details or using detailed AI ethics examples. This talk will focus on the day-to-day realities of ML Governance. How much documentation is appropriate? Should you have manual sign-offs? If so, when and who should perform them? When is an escalation needed? What should a governance board do? What if you are in a regulated industry? How can MLOps help? And most importantly, what is the point of all this governance and how much is too much? This talk will show how each organisation can best answer these questions for their own context by referring to examples and public resources.
---
🕒 7:45pm - Serverless infrastructure for your MLOps environment on GCP
🎤 TBC
Significant time is spent to maintain MLOps environments, make sure they are scalable, operational, adhere to business SLAs and updated on time to adapt to the latest and greatest tools and features. This can quickly become a bottleneck if your organisation teams cannot scale at the same rate. Vertex AI from Google Cloud provides you with serverless MLOps capabilities and simplifies your MLOps platform setup. In this session we will have a quick look at those capabilities.
---
🕒 8-9:30pm - Social on the rooftop with food and drink!
*Brought to you by Neptune.ai*