Ep035: Data - The Differentiator for Generative AI Applications

Ep035: Today's podcast features panel discussion from the "AWS for Software Companies Generative AI and Data Executive Forum" featuring leaders from Anyscale, Qlik and Rapid7 sharing insights on data models, policies and optimization for Generative AI applications.

Panelists:

• Zhe Zang, Head of Open Source Engineering, Anyscale
• Brendan Grady, EVP & GM, Analytics Business Unit, Qlik
• Laura Ellis, VP - Data Engineering and Platform Analytics, Rapid7
• Sherry Marcus Ph.D., Director, Applied Science, AWS

Topics Include:

• Introductions of the panel
• What big bets are you making with your companies and why?
• What have the learnings been with data preparation?
• Balancing present needs with the future of AI – growing data literacy
• Cost optimization for AI and Data platforms
• Constraints of hardware and growing expense
• What models and solutions have customers been asking for?
• High stakes risks for AI and Data
• How customers are reacting to different compute models
• Guardrails, filters and risk-mitigation best practices
• Data and AI pain points
• New global policies challenging data and AI development
• Challenges with data quality
• How has AI changed and evolved with digital natives?
• Open and closed models in the market
• Metrics and selection for models
• Biggest lessons learned in the AI and data space
• Session conclusion