Generative AI Data Strategy: Harnessing Proprietary Data for Superior Models
Tuesday, August 13, 2024 3:05 PM to 3:50 PM · 45 min. (US/Pacific)
123-124 (Level 1)
Generative AI: Strategy & Implementation
Information
This panel delves into strategic approaches for leveraging proprietary datasets to enhance generative AI models, driving superior performance and competitive advantage. Attendees will gain valuable insights into developing and implementing a robust data strategy for generative AI, addressing challenges and best practices for data curation, cleaning, and preparation. Panelists will discuss methodologies for maximizing the potential of proprietary data, focusing on techniques that ensure sustainability, scalability, and significant performance improvements. This session is designed for a broad audience, including data science leaders, AI researchers, business strategists, and AI vendors, offering actionable strategies to optimize proprietary data in the rapidly evolving generative AI landscape.
Speakers

Parasvil Patel
PartnerRadical VenturesTP
Tatum Pollard
EnterpriseDB
Jodi Blomberg
VP, AI and Machine LearningCox AutomotiveSK
Soumitri Kolavennu
SVP, Head of AI ResearchU.S. BankSA
Sean Anderson
Vectara
Amr Awadallah
Co-Founder & CEOVectara
Torsten Steinbach
VP, Chief Architect Analytics & AIEnterpriseDB