Welcome and Introduction

Managing Director

How To Build Trust In Your Models In Production With Model Monitoring and ML Observability

Machine Learning Engineer

1:1 Networking Break

Data Observability Across Pipeline

CEO and Co-founder

Explain the Behaviour of ML Models With Seldon Illustrated With Anchor and SHAP Explainability Methods

Senior Product Manager, Data Science AI

AI Monitoring and Explainability: The Critical Hidden Connection

President, Chief Scientist, and cofounder

Model Serving and Drift Detection with the Iguazio MLOps Platform

Director of Product Management

Easy ML Monitoring With Toloka

Research Scientist

The Need to Secure AI

Chief Business Officer

Why Dashboards Kill Your Model Observability

Head of Product

ML Monitoring on Edge Devices

Solutions Architect

Model Performance Management in Action

Data Scientist, AI Success

Build Trustworthy AI With MLOps

Senior Data Scientist

Model Serving Monitoring and Traceability: The Bigger Picture

Evangelist

Monitoring Drift in Production

Director of Data Science

Monitoring on Structured Data and Beyond

MLOps Architect

Closing Remarks

Day 1

MLOps Day 2 Summit: Monitor, Observe, Explain

Stage 1

Stage 2

Free Ticket

Track 1

Track 2

The AI Infrastructure Alliance brings together the tools, data scientists and data engineers need to build a robust, scalable, end-to-end, enterprise artificial intelligence and machine learning (AI/ML) platform.

AI Infrastructure Alliance

Job Title