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Software Engineering Specialist, Intuit
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Voltaire Yap, Global Events Manager, Oracle Corp.
As generative AI capabilities accelerate, the real challenge for enterprise teams isn’t building faster, it’s building responsibly. This session focuses on how Java developers can integrate responsible GenAI practices into their applications without sacrificing agility.
Through practical examples and open source frameworks, you will learn how to implement prompt safety, output validation, data protection, and cost-aware deployment. Real-world case studies will illustrate how to apply ethical and governance principles to AI-driven workflows, ensuring that speed never comes at the expense of trust, security, or sustainability.
What You Will Learn
Patterns for responsible GenAI development in Java applications
How to integrate guardrails for prompt safety, data protection, and output validation
Approaches for cost-efficient, compliant, and sustainable AI deployment
Who Should Attend
Java developers, architects, and engineering leaders building GenAI-enabled systems who want to maintain speed with accountability and design AI applications that enterprises can trust.
