Systems | Development | Analytics | API | Testing

Turn AI Agents into Fully Integrated Team Members with Model Context Protocols | Demo

Want Your AI Agents to Work Seamlessly with Salesforce, Slack, or Any External System? In this video, our Associate Software Architect Humza Khatri, explains how Model Context Protocols (MCPs) make it easy to connect your AI agents with third-party tools and systems, transforming them into fully integrated and task-ready team members. With the Astera AI Agent Builder, your agents can now access and act on real-time data from external platforms such as Salesforce, HubSpot, Microsoft Teams, Slack, and even custom APIs through a simple no-code configuration.

Is a Hot Dog a Sandwich? What 1,500 QA Pros Really Think | 2025 State of Quality Report

Did you know that 44% of QA professionals believe a hot dog is a sandwich? That’s just one of the fun—and surprising—questions we asked in this year’s State of Software Quality Report survey. But beyond the humor, we dug deep into the real challenges testers face every day: organizational maturity, AI in testing, best practices, and more. Over 1,500 software testing professionals shared their insights, and now you can explore what they had to say.

Ep 28 | Engineering for GenAI: Lessons from Past Hype Cycles with Ryan Ries of Mission Cloud

Generative AI is entering the enterprise at scale, following patterns set by the rise of cloud computing. As organizations shift from buying tools to building custom solutions, architecture and integration become key to long-term success.

Beyond Banking: The Journey Into AI-Powered Customer Experiences

In this episode of the "Data Cloud Podcast," Dana Gardner, Principal Analyst at Interarbor Solutions, sits down with Ameesh Paleja, Executive Vice President of Enterprise Platform Technology at Capital One. They explore how Capital One leverages modern data architecture, automation, and AI to improve customer interactions and experiences. The conversation delves into the importance of standardized data, the role of AI-driven personalized services, and the integration of marketing and AI strategies.

Prepare and Clean Education Data for Reports Instantly by Typing What You Need | Demo

Transform Raw Education Data into Reports Instantly by Typing What You Need Whether it's student records, attendance logs, or academic performance data, preparing education datasets is now easier than ever. With Astera’s AI-powered Data Prep, educators and analysts can clean, filter, and reshape education datasets using simple natural language commands. No technical expertise required. See how easily you can turn scattered education datasets into structured, report-ready insights through a chat-based interface.

How to ensure your AI projects are production ready

Join Kong HQ for an insightful LinkedIn Live session titled "How to Ensure Your AI Projects Are Production Ready." As AI continues to transform industries, moving from experimentation to deployment is one of the biggest challenges organizations face. In this session, our experts will dive into what it truly means for an AI project to be "production ready," discussing essential practices around scalability, reliability, governance, and observability.