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.

The 2024 DORA report had interesting findings on the impact of AI development. But some statistics were surprising. Listen to Speedscale CTO Matt LeRay break down why some of this news makes sense and others are surprising, with research from other sources.

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

See how to use MLRun 1.7 to fine-tune a generative AI banking chatbot, ensuring it answers only relevant banking inquiries. Watch the full tutorial and follow along!