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.

Overview of how AI transforms analytics into a strategic asset, covering AI’s role in analytics, features of AI-powered analytics tools, real-world use cases, breaking down data silos, fostering an AI-driven decision-making culture, and future-proofing your business for the next era of AI-powered analytics.

A series of short talks and a panel discussion on the applications and future trends of AI and ML in finance.

Lightning talk exploring how AI is integrated into modern web development workflows.

Discussion on how dbt powers the AI-ready data lake.

Discover how Sitecore leverages AI across its composable platform to deliver real-time personalization, content intelligence, and customer journey optimization at scale. This session dives into the architecture and technology powering smarter digital experiences—and showcases real-world implementations from leading brands.

Table ronde sur parcours, défis systémiques et perspectives d’avenir dans les métiers de la data et de l’IA.

EM Kata session in small groups focusing on working and forecasting with guidance from experienced senior leaders.

Explore Sonar's product roadmap and get a sneak peek at upcoming innovations, including advanced AI capabilities and groundbreaking security features.

Join a member of Sonar’s executive leadership for a look into how new technology innovations in AI and elsewhere are providing developers with exciting new tools that supercharge their development process.

Panel discussion on building and investing in responsible innovation.

In this session, we’ll explore the AI revolution. While companies are racing to find ways to automate and reduce their workforce, we are focused on the opposite. We’re building the data OS for the application layer, starting with making engineers 10x more productive in finding and understanding Mongo data. ScoutDB enables you to run queries using natural language, automatically map schema relationships, and navigate data on a beautiful, infinite canvas. We exist to shift power back to the engineer–the builders of tomorrow.

Join us for a free 40-minute live webinar where you'll discover how AI-driven networking is transforming IT operations, enabling faster decision-making, improved security, and streamlined management.

Led by Katarzyna (Kasia) Stoltmann and Aliya Boranbayeva. Explore equitable AI solutions, personal branding, and storytelling to amplify visibility in data.

RAG has transformed AI applications by grounding responses with external data. It can be better. By pairing RAG with low latency SQL analytics, you can enrich responses with instant insights, leading to a more interactive and insightful user experience with fresh, data-driven intelligence. In this talk, we’ll demo how low latency SQL combined with an AI application can deliver speed, accuracy, and trust.

Panel featuring Olena Nahorna, Katarzyna Stoltmann, Jennifer Lapp, Aliya Boranbayeva, moderated by Anita Fechner, discussing AI in communication and data.

AI-powered tools translate complex information into accessible language, supporting data storytelling and collaboration between human insight and machine intelligence. Real-world examples show how organizations use AI to enhance research, reporting, and technical documentation.

The talk will explore how a background in linguistics can enhance the development of end-to-end AI-driven solutions.

AI-based diagnostic tools for skin cancer have become increasingly popular due to their efficiency and low cost. However, a critical limitation of many existing models is their lack of diversity in training data—particularly the underrepresentation of darker skin tones. As a result, these models tend to perform poorly on non-white patients, increasing the risk of misdiagnosis or delayed diagnosis and contributing to significant health disparities. This project aims to address this issue by developing a diagnostic tool capable of accurately identifying malignant skin lesions across all skin tones