Stay ahead of the rapidly evolving cloud and AI landscape with the AWS for Software Companies podcast.
Hear from renowned software leaders, respected industry analysts, and experienced consultants alongside AWS experts as they explore the technologies shaping the future—from generative AI and agentic systems to intelligent cloud architectures, and modern data management. Learn how AI agents are transforming enterprise workflows, how leading companies are modernizing their cloud strategies with security best practices at the core, and what's driving the next wave of SaaS innovation.
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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
