Collibra – The Data Mesh: a new hope in the modern data stack

Modzy – Leveraging Prediction Data for Model Retraining

Toloka – Search relevance evaluation using crowdsourcing

Panel Discussion – The Impact of Academia on AI/ML Innovation

<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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