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David Gildea of Druva shares their approach to building cost-effective, fast generative AI applications, focusing on cybersecurity, data protection, and the innovative use of LLMs for simplified, natural language threat detection.
Topics Include:
- Introduction by Dave Gildea, VP of Product at Druva.
- Focus on building generative AI applications.
- Emphasis on cost and speed optimization.
- Mention of Amazon's Matt Wood keynote.
- AI experience with kids using "Party Rock."
- Prediction: GenAI as future workplace standard.
- Overview of Druva's data security platform.
- Three key Druva components: protection, response, and compliance.
- Druva's autonomous, rapid, and guaranteed recovery.
- Benefits of Druva’s 100% SaaS platform.
- Handling 7 billion backups annually.
- Managing 450 petabytes across 20 global regions.
- Druva’s high NPS score of 89.
- Introduction to Dru Investigate AI platform.
- Generative AI for cybersecurity and threat analysis.
- Support for backup and security admins.
- Simplified cybersecurity threat detection.
- AI-based natural language query interpretation.
- Historical analogy with Charles Babbage’s steam engine.
- "Fail upwards" model for LLM optimization.
- Using small models first, escalating to larger ones.
- API security and customer data protection.
- Amazon Bedrock and security guardrails.
- Testing LLMs with Amazon’s new prompt evaluation tool.
- Speculation on $100 billion future model costs.
- Session wrap up
Participants:
· David Gildea - VP Product Generative AI, GM of CloudRanger, Druva
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