Speakers

AI is no longer a futuristic buzzword—it’s reshaping the way we build and design software today. In the past decade, machine learning has been quietly powering decisions on unstructured data. However, these solutions were often complex, requiring specialized models for narrow tasks and significant integration overhead.  Fast forward to today: large language models (LLMs) have shifted the landscape. They enable us to process and interpret vast amounts of unstructured data with greater ease—but not without trade-offs, such as increasing cost and the risk of hallucinations. In this talk, we’ll explore how modern software architecture is evolving to embrace AI—not just for code generation or explanation, but as a foundational component. We’ll dive into practical examples, especially from the Java ecosystem, and cover: How to design systems leveraging LLMs effectively Techniques to reduce cost and mitigate hallucinations Strategies for scaling AI-infused applications Real-world challenges in going from prototype to production Join us to see how AI can be a first-class citizen in your software architecture—and what it takes to make it work in the real world. a Read More...