Systems | Development | Analytics | API | Testing

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.

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.

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.