How to leverage automation when building AI products || WBN

Teams using automation have saved 50-70% on annotation costs and can significantly improve overall project efficiency.

Watch this webinar to hear about the best practices from ML teams at Cape Analytics and Nayya:

How enterprises can reduce labeling time using the latest automation techniques
Which workflows can help you increase labeling velocity
How to incorporate automation regardless of your AI team's maturity level

Watch Now

Just some of companies that Labelbox is working with to build AI applications:

Ishan Babbar

Lead Data Scientist - Nayya

Featured Speakers:

How to leverage automation when building AI products

Just some of companies that Labelbox is working with to build AI applications:

ML Unboxed: How to diagnose and improve model performance

January 12: 11am PT

January 13: 8am PT/11am ET/4pm GMT

Accelerate

Mark Ghannam

Solutions Engineer, EMEA, Labelbox

Giacomo Vianello

Senior Data Scientist - Ancestry

The road to powerful, game-changing AI isn’t a straight line — it’s an iterative loop.

Hundreds of organizations have built powerful AI products by improving and accelerating their iteration process. Those who embrace advanced techniques like pre-labeling, data curation, and active learning train their models and realize competitive advantages faster. Accelerate 2022 features Labelbox customers and AI experts as they share success stories, live demos of transformative solutions, and more.