The end result for every data labeling project is quality data – but how do you get there? There are several quality assurance workflow types but each has pros and cons when it comes to the quality and speed of data outputs. When you’re evaluating data labeling providers or planning in-house processes, you should consider which QA workflow will work best for your business and data needs.
Featured Presenters
Event Sponors
Amazon Web Services (AWS)
Government, education, and nonprofit organizations face unique challenges to accomplish complex missions with limited resources. Tens of thousands of public sector organizations around the world
CloudFactory
CloudFactory combines people and technology to provide cloud workforce solutions. Our professionally managed and trained teams can process data for machine learning with high accuracy
Cognilytica
Cognilytica is an AI, ML, and data focused advisory and education firm. Cognilytica serves Public Sector and industry clients with AI, ML, and Cognitive technology
Databricks
Databricks is the data and AI company. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide and H&M — rely on Databricks’ open and
Maverick Quantum Inc (mavQ)
mavQ provides an AI driven Low Code platform that allows enterprises to imagine, innovate, and transform their digital journey. Convert your ideas into production scale
