Ep035: Data - The Differentiator for Generative AI Applications

04/09/24 • 44 min

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

04/09/24 • 44 min

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