Systems | Development | Analytics | API | Testing

It covers the full workflow, from ingesting documents into a vector database of your choice, to setting up and deploying the AI Agent, showcasing how you can configure data retrieval for precise and concise responses.. Learn more : wso2.com/devant.

Learn more : wso2.com/devant.

Did you know that 26% of QA teams still describe their testing processes as very informal or unstructured—with minimal automation? This stat from Katalon’s State of Software Quality Report 2025 underscores a major opportunity for growth in QA maturity. Relying primarily on manual testing not only limits efficiency but also affects the consistency and scalability of quality assurance efforts.

This video is of one of the sessions presented at ‘Future of Testing’ Week 2-Day Virtual Conference, 2025. About the Speaker: Vignesh is a Senior SDET with over 10 years of experience in Software Automation Testing, specializing in Web, Mobile, API, and Performance testing. His passion for learning new technologies and tools has enabled him to excel in automation testing across various platforms. With over 7 years of experience as a Trainer, he has trained more than 5,000 students and is the highest-rated Udemy Instructor. He also conducts corporate training sessions both online and offline.

AI is transforming testing—but not without its challenges. According to the State of Software Quality Report 2025, 46% of testers cite the lack of skilled personnel or the steep learning curve as major barriers to adopting AI in software testing. In this insightful message, we highlight one of the most pressing issues in the QA space: while AI has immense potential to drive efficiency and quality, teams are struggling to fully capitalize on it due to limited expertise.

Steffen Hoellinger, CEO of Airy, details how they use AI and data streaming to increase developer productivity and enable a self-serve data experience for business users.

AI agents are quickly becoming one of the most powerful tools in the enterprise AI toolkit. According to Cloudera’s latest Agentic AI Survey, 96% of enterprises plan to expand their use of AI agents. But what’s driving this surge, and how can organizations turn hype into results? In this episode of The AI Forecast, host Paul Muller sits down with Abhas Ricky, Chief Strategy Officer at Cloudera, to explore the real momentum behind agentic AI. From healthcare to telecom, Abhas unpacks how AI agents are already transforming operations with speed, intelligence, and autonomy.

Get an inside look at P4 One, the version control client built for artists, designers, and creative teams. In this demo, Jase Lindgren, Senior P4 User Advocate, shows you how to: Ready to get your creative workflows under control? Whether you’re new to version control or just want something built with artists in mind, this demo gives you a fast, clear look at how P4 One makes version control easier.

Join us to explore how Confluent is unifying streaming and batch to power real-time, AI-ready applications. Learn about our latest product innovations, hear directly from customers, and see what’s next in the future of data.

Codename Goose isn’t just another AI tool — it’s a fully customizable, open-source client that connects to 4,000+ MCP servers and works with any large language model (LLM). In this clip from Test Case Scenario, Angie Jones breaks down why Goose is such a game-changer for automation, productivity, and how we interact with systems through natural language. Full episode now live with Angie Jones — hosted by Sauce Labs.