Data-First Culture in AI Development: A Discussion From Human[x] With Snorkel AI and Scale AI

A data-first culture focuses on gathering data and emphasizes the significance of data management and quality. In this panel discussion from Human[x], moderated by Noral Ali from Mason Media, Scale AI Field CTO Vijay Karunamurthy and Henry Ehrenberg, co-founder of Snorkel AI, share their experiences and strategies for building a culture that prioritizes data across all levels of the organization. The discussion highlights the transition from traditional data collection methods to more sophisticated approaches that leverage domain-specific expertise. As AI models evolve, the need for specialized evaluations becomes paramount. The panel also examines the role of human expertise in the data-first approach, emphasizing the importance of collaboration between technology and human insight. By fostering a data-first culture, companies can better navigate the complexities of AI integration, leading to more effective decision-making and improved outcomes. Timestamps: 00:00 Introduction 00:43 Data Management and AI 01:57 Challenges in AI Data Management 03:00 Approaches to Data at Scale 05:01 First Steps in Leveraging Data 06:57 Evaluating AI Model Performance 07:17 Case Study: Time Magazine 09:01 Addressing Skepticism about AI 10:31 Customer Support Evolution 11:40 Nurturing a Data-First Culture 13:17 Recruitment and Talent in AI 14:53 Unique Approaches to Talent Recruitment 17:34 Future Predictions for AI and Data #datafirst #scaleai #enterpriseai