Alejandro (Alex) Muller – Savvy AI – Mind the GAP

Jennifer Prendki – Alectio – What the *%& is DataPrepOps?

Amber Roberts – Arize – Fairness Metrics and Bias Tracing in Production

Miriam Santos – DCAI Community – Auditing Data Quality with Pandas Profiling

Welcome to the age of industrialized AI! With bigger and bigger models on the rise, how do you know you can scale to meet the incredible demands of tomorrow?Join us and learn how to run massively distributed scaling, serve inference to millions or billions of users and deploy thousands of models to production now.

AI at Scale

<blockquote>Data-Centric AI is the process of building and testing AI systems by focusing on data-centric operations (i.e. cleaning, cleansing, pre-processing, balancing, augmentation) rather than model-centric operations (i.e. hyper-parameters selection, architectural changes).</blockquote>Our summit takes place on two days: on Thu and Fri from 8 am PT / 11 am ET / 5 pm CET for 4 hours. Don't miss the second day!

Data-Centric AI Summit

MLOps Day 2 Summit: Monitor, Observe, Explain

Learn how to serve models in simple and complex environments, see the difference between batch and online, sunset old models, use shadow and canary deployments, monitor the models for speed and latency and much, much more. This month we’ve asked our platforms to focus on DEMOS and CODE, which means less slides and more hands on.Valohai, Modzy and Iguazio will give ten minute lightning talks and Seldon will deliver a one hour demo where they dive deep into their open source and enterprise platforms.

Model Serving Event

Learn how to keep track of multiple experiments, compare them and visualized them, all while working with a distributed team.

Experiment Tracking Event

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

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