How to Scale Your Data Labeling Operation Effectively and Efficiently
It's a well-known statistic that over 80% of AI project time is spent on data preparation and labeling. For AI to reach its full potential, innovators must learn from the past and make the most of this time so that their initiatives can succeed. Attend this webinar and learn how to avoid the most common mistakes innovators run into when labeling data for projects big or small. You’ll benefit from the lessons CloudFactory has learned from delivering over 10 million hours of labeling work across 250 projects for our global client base. You’ll walk away with insider knowledge on how to:
Determine the right amount of data to label
Choose a high-quality workforce partner
Select the right tool based on key considerations
Deploy auto-labeling effectively
Monitor key performance indicators
Paul Christianson,
VP of Labeling Solutions, CloudFactory.
Paul Christianson is the VP of Labeling Solutions at CloudFactory. In this role, he leads teams and initiatives that combine CloudFactory’s best-in-class workforce with industry-leading tools to create end-to-end solutions for AI companies. Paul has more than 15 years of experience working with technology companies to develop and implement products and services at scale. He was an early employee at CloudFactory, playing key roles in building the go-to-market strategy and then serving as the Vice President of Global Client Success, responsible for delivering desired client outcomes on hundreds of AI/ML engagements.
Ann Balduino,
Senior Client Success Managers, CloudFactory.
As a Client Success Manager at CloudFactory, Ann oversees various AI Data Labeling projects for clients. In this role, Ann works to understand the overall business goals and helps to drive success and growth through collaboration. Her background consists of over 15 years in client-facing positions, primarily in the tech space and eCommerce. She has spent the last 2.5 years diving into Machine Learning and AI across industries from Medical, to Geospatial to Retail and beyond.
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Sponsored By : CloudFactory
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