Systems | Development | Analytics | API | Testing

In this session, we’re getting into how AI and machine learning are transforming test automation from a traditional, often repetitive process into something dynamic, efficient, and intelligent. It’s not just about speeding things up; it’s about creating smarter tests that adapt to changes, predict issues before they arise, and ultimately make your testing process more resilient. If you're looking to future-proof your testing strategies, this talk will give you the insight you need to do just that.

In this compelling talk, Federico delves into the new challenges in software quality brought by the rise of Generative AI (GenAI) and Large Language Models (LLMs). As these advanced technologies become more integrated into applications, ensuring their quality presents unique hurdles. He explores the specific quality concerns associated with using LLMs, GenAI, and Retrieval-Augmented Generation (RAG), and discuss innovative testing approaches tailored to these systems. This session is designed to help you navigate these complexities, ensuring your applications not only meet but exceed quality standards.

Data visualization is cool, but have you tried setting up a chart of real-time data? In this video, Lucia Cerchie shows you how to create a live visualization of market data. She starts by producing data to a topic in Confluent Cloud from an Alpaca API websocket, then processes that data with Flink SQL, and finally uses a Streamlit component for a real-time visualization.

In this webinar, we explored how to successfully deploy your Gen AI applications while mitigating these challenges, using NVIDIA NIM and MLRun.