Systems | Development | Analytics | API | Testing

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.

Learn more : wso2.com/devant.

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.

What if you could build your own customer service agent that handles real-world support queries automatically, saving time for both customers and our team? Maryam Ahmad from our PRD team did just that using Astera’s low-code and drag-and-drop interface. With Astera AI Agent Builder, Maryam created an intelligent agent designed to handle key customer service tasks for an e-commerce platform: checking order status, cancelling orders, and providing information on refund and return policies, all through a seamless conversational interface.

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.

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 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.

Watch how DreamFactory's MCP Server allows for natural language queries of your direct database with a high level of accuracy. Additionally, RBAC ensures data governance by making sure only the correct data is exposed to certain users based on their roles.

Knowing exactly where your data comes from is critical. With the Lineage view in Qlik Cloud Analytics, you get a clear, visual map of your data flow—making it easy to trace dependencies, troubleshoot issues, and update the right apps with confidence. A must-have for any serious Qlik developer or data team.

AI agents are learning to remember, and that changes everything. Memory is what allows AI agents to go beyond one-off answers. It helps them retain context, learn from past interactions, and make more thoughtful, personalized decisions over time. In today’s episode, our AI Product Strategist, Ayesha Amjad, breaks down the critical role of memory in agentic AI systems.