Systems | Development | Analytics | API | Testing

AI and the Future of Finance: Decoding Earnings Calls

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.

Ep 9 - Bottlenecks to Breakthroughs: How Covetrus Solved Latency with Streaming

For enterprises managing sprawling systems and frequent M&A activity, data latency isn’t just inconvenient—it’s a blocker to business value. In this episode, Joe Pardi, Senior Director of Global Data Engineering at Covetrus, explains how his team replaced fragile data pipelines with a robust real-time data streaming architecture that enables instant decisions across the entire enterprise.

Astera's Vision for Agentic AI: The Why Behind Astera AI Agent Builder

Curious to know what inspired the creation of the Astera AI Agent Builder – the fastest way to build, test and launch autonomous AI agents with your enterprise data? In the first episode of Round Table Series, join our AI Product Strategist Ayesha Amjad, AI Product Specialist Muhammad Hasham Qazi, and Software Architect Humza Khatri as they share the story behind the innovation. They’ll talk about the reasons that sparked the idea, the challenges they tackled, and how they’re shaping the future of AI-powered agents with Astera.

26% of QA Teams Still Rely on Manual Testing | See the 2025 Report

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.