"I was amazed by the informative and insightful session which helped me to understand the advancements in the field of Data-Centric AI and allowed me to deep dive into solutions for challenging real-world problems impacting the lives of global citizens. "

I liked the crisp and detailed overview shared during the event. It helped me to understand the nuances in the Data-Centric AI that was earlier limited to my scope.

"Had a great time learning about human-in-the-loop and active learning workflows for scaling labels. I was surprised to learn how easy it was to go from a thousand or so labels to tens if not hundreds of thousands of reliable labels – all within the UI and without needing to code things or without needing to have an expert understanding of machine learning. "

Speakers were passionate about high-quality data and how we can work together and use existing tools to create the data we need to scale our pipelines and models.

"Very informative and interesting in the area of data-centric AI. "

I enjoyed listening to the sessions and live conversations with a variety of different speakers in the industry and in academia, and learning more about data-centric AI.

"I learned alot"

I liked how all the speakers had a variety of industry experiences and new AI use cases to bring to the table.

"It was a great experience. This was my first time attending this conference and I learned a lot through various talks. "

The wide variety of speakers and concepts covered. The unique thing was short meditation breaks.

"Graduate student"

The event was very organized, with rooms to network and learn more about the job market.