Sept 29-30 2022

 

Two days – Two tracks per day

Learn how to put data-centric AI into practice in the real world. Hear from some of the top practitioners in the world today along with some of the most advanced platforms.  Explore talks from the leaders of massive data sets used to train some of the largest foundational models on the planet.

Deep learning pioneer, Andrew Ng, coined the term Data-Centric AI:

“The discipline of systematically engineering the data needed to build a successful AI system.

(AI Generated Image by Stable Diffusion)

 

Meet our Speakers

(partial list – final list announced in Sept)

And talks from all the following platforms…

(partial list – final list announced in Sept)

The Data-Centric AI Community defines it as:

“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).”

In other words, Data-Centric AI focuses on updating the data to solve a problem versus changing the algorithm or code. That’s a complete reversal of how we’ve thought about AI up until now. 

Over the last decade, researchers focused on code and algorithms first and foremost. They’d import the data once and generally leave it fixed. If there were problems with noisy data or bad labels they’d usually work to overcome them in the code. Data-Centric AI flips that on its head and says we should fix the data itself. Clean up the noise. Augment the dataset to deal with it. Re-label, so it’s more consistent.

The simple chart here neatly illustrates the difference between model-centric and data-centric AI.

Data-Centric AI is Powering the Next Gen of AI Models

Meet People

Learn

Explore

Data-Centric AI

Download the Report

Just plug in your email and we'll immediately redirect you to the report to download now!

Report - AI Ecosystem

Your report is on the way. Check your email. Be sure to CHECK YOUR PROMOTIONS OR SPAM Folders!