In today’s fast-evolving tech landscape, automation is no longer just about writing test scripts. It’s about building a strategy that scales across services, teams, and time. In this session, Ronak Ray breaks down how modern QA teams can move from patchwork testing to future-ready automation architectures. Learn how to design modular, API-first frameworks, reduce test flakiness, align coverage with risk—and most importantly, how to harness AI to generate, prioritize, and self-heal tests. This is the new blueprint for automation: faster, smarter, and scalable.

Thème Tech – Présentation sur mesurer l’impact d’une feature GenAI du point de vue data et produit.

In this session, Learn how to seamlessly integrate powerful GenAI platform features into your apps—without the complexity of managing infrastructure. This session explores how to combine cloud-hosted AI models with MongoDB to enable smarter, scalable AI experiences. You’ll discover streamlined integration patterns, cost-efficient deployment tips, and practical prompt-engineering techniques to take your GenAI project from prototype to production with ease on DigitalOcean GenAI platform.

In this session, we'll discuss the next-generation search infrastructure that gives AI agents seamless access to web information and hard-to-find intelligence. Traditional methods can't handle these new workflows, and legacy search engines - designed for human attention - aren't built for these emerging AI use cases. We will address: a)The power of web search for LLM-based applications; b) the need to avoid scraping of legacy search engines; c) How we're building a new category of "searcher" models; and d) What you can power with a web retrieval engine, including demos.

What if everyday objects weren’t so ordinary? In this talk, Alexey will share how he and his son built a GenAI-powered system that transforms photos of common objects into horror stories—automatically generating a new podcast episode every day. He'll dive into the process, deployment, automation, and key lessons learned.

Learn how to build and manage robust AI infrastructure using Kong AI Gateway for efficient GenAI application development and deployment. From AI Gateway essentials to advanced management techniques, you'll learn to optimize your applications, implement governance and security measures, and adapt to various deployment environments.

Intel session on enhancing GenAI productivity and scaling.

Session on enhancing GenAI productivity and scaling.

Session on Google GenAI and Gemini technologies.

Google session on GenAI and Gemini.

In this talk, Rayan will discuss Pruna AI's approach to optimize GenAI models such as Flux and Stable Diffusion, and the benefits AI Efficiency's processes offer to users.

Practical applications across industries that actually make sense.

One of the latest innovations in Generative AI (GenAI) technology are Large Language Models (LLMs). You can exploit LLMs to solve many tasks that were incredibly challenging not that long ago, and some say you can solve anything with GenAI. But can you? Recently, we decided to reshape an old application for fraud detection by introducing AI in it. This talk is a summary of both our successful and failed attempts to solve everything with AI.

This talk shows how structured generation fixes this for legal Q&A. By guiding the LLM's output, we can link answers directly to relevant statutes and case law, boosting accuracy and transparency. We'll see how this helps to use LLMs for legal use cases.

Explore how data orchestration with Airflow is driving the development of robust, scalable AI solutions.

Why vanilla GenAI did not work for AgriSynth initially and how new developments in the field and the use of CGI have in the end enabled AgriSynth to utilise GenAI.

Explore how data orchestration with Airflow is driving the development of robust, scalable AI solutions and hear directly from those at the forefront of innovation.

In this talk, we will delve into the emerging challenges that generative artificial intelligence GenAI and Large Language Models (LLMs) bring to the world of software quality and testing. We will explore how the integration, use, or design of solutions with GenAI models pose new challenges, including data quality and bias detection, dealing with non-determinism in our test automation and privacy and security concerns. We will review some proposals that are being implemented to adjust our testing tasks to the development of such systems, including approaches to automated testing and observability.

Date: 2024-08-22; Time: 10:00-12:00 EST. AWS Discovery Day - Introduction to Prompt Engineering.