“Once again Saltmarch has knocked it out of the park with interesting speakers, engaging content and challenging ideas. No jetlag fog at all, which counts for how interesting the whole thing was.”
Cybersecurity Lead, PwC
“Very much looking forward to next year. I will be keeping my eye out for the date so I can make sure I lock it in my calendar.”
Software Engineering Specialist, Intuit
“Best conference I have ever been to with lots of insights and information on next generation technologies and those that are the need of the hour.”
Software Architect, GroupOn
“Happy to meet everyone who came from near and far. Glad to know you've discovered some great lessons here, and glad you joined us for all the discoveries great and small.”
Web Architect & Principal Engineer, Scott Davis
“Wonderful set of conferences, well organized, fantastic speakers, and an amazingly interactive set of audience. Thanks for having me at the events!”
Founder of Agile Developer Inc., Dr. Venkat Subramaniam
“What a buzz! The events have been instrumental in bringing the whole software community together. There has been something for everyone from developers to architects to business to vendors. Thanks everyone!”
Voltaire Yap, Global Events Manager, Oracle Corp.
As Large Language Models (LLMs) become core to enterprise transformation, the ability to design and scale AI-powered APIs has never been more crucial. In this session, Daniel Oh, Java Champion and Senior Principal Developer Advocate at Red Hat, unpacks the intersection of LLMs, Open API standards, and cloud-native architectures, and how they collectively shape the future of intelligent, interoperable enterprise systems.
You’ll explore how OpenAPI specifications connect AI models with business applications, making integration predictable and secure. The session delves into scaling AI inference, covering GPU optimization, latency management, and distributed reliability, while showcasing how technologies like Kubernetes, Knative, and Quarkus enable operational excellence at scale.
Through real-world case studies, you will learn how enterprises are bridging AI innovation with platform engineering through API-first design, MLOps pipelines, and responsible deployment practices. The session concludes with a practical discussion on ethics, governance, and regulatory compliance, helping teams deploy AI that is scalable, efficient, and trustworthy.
What You Will Learn
How to design AI-integrated APIs using OpenAPI and cloud-native tools
Techniques to scale LLM inference while managing cost and latency
How to operationalize AI through open-source technologies like Kubernetes, Knative, and Quarkus
Patterns for aligning AI innovation with enterprise governance and ethics
Who Should Attend
Software architects, platform engineers, AI developers, and technology leaders building scalable, compliant, and intelligent API-driven ecosystems in the enterprise.
