The Difference Between Agentic AI and GenAI
Not all AI is agentic. Steffen Hoellinger, Airy’s CEO, breaks down the difference between agentic AI and generative AI, highlighting how AI agents utilize streaming data to reason and act.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Maintaining Auto-Generative API Tests: Need Of De-Duplicate Tests
In today’s fast-paced development environment, automatically generating tests has become a necessity. Tools leveraging AI, manual interventions, and live environment captures facilitate this process. For instance, k6 focuses on load testing, generating automated tests with minimal maintenance. On the other hand, AI generative tools like GitHub Copilot, Bard, and ChatGPT can produce many tests, though often with redundancy.
Astera ReportMiner Demo (Version 11.1)
In this demo, you will see how Astera ReportMiner can ingest data from any source, extract it from any format, process it, and deliver it to your preferred destinations with complete end-to-end automation. This removes the need for manual effort, improves data accuracy, and gives you full control over your document processing workflows. From invoices and purchase orders to scanned PDFs and complex reports, ReportMiner helps you automate the entire document lifecycle. It handles everything from extraction and validation to integration, all within a unified and no-code platform.
Is Data Integration the Real Engine Behind Effective AI Agents? #aiagents
Jay Mishra, our Chief Product and Technology Officer, explains why quality data is the true driving force behind successful AI agents. He also shares how Astera AI Agent Builder seamlessly connects to both internal and external data sources, ensuring that your AI agents are data-driven and ready to deliver powerful results.
Enabling Agility and Compliance in Oracle Environments Through Quality Assurance
In today’s fast-evolving Oracle Cloud environments, organizations must strike a balance between agility and compliance. While agility calls for rapid adoption of Oracle Cloud updates, evolving business processes, and dynamic integrations, compliance demands strict adherence to organizational policies, governance standards, and regulatory requirements. Quality Assurance (QA) bridges this divide—enabling innovation while managing risk.
Mastering Oracle QA: Automation Strategies Across ERP, HCM, and CX
Effective quality assurance in Oracle Cloud demands a structured, module-specific automation strategy. From ERP to HCM and CX, aligning test automation to business functions can accelerate test coverage, improve defect detection, and optimize costs.
Top 5 Oracle Cloud Testing Pitfalls (And How to Avoid Them)
Oracle Cloud applications offer powerful capabilities, but testing them effectively is far from plug-and-play. Many organizations stumble into costly pitfalls during implementation due to the complexity of their business processes, gaps in test coverage, and inadequate planning. Based on our extensive experience in Oracle Cloud Testing, here are the top 5 pitfalls we’ve seen – and how you can avoid them.
What's the difference between Agentic AI and LLMs?
In this clip, Angie Jones explains how agentic AI goes beyond language prediction to actually take action — and what that means for the future of software development and testing.
"Let's Connect Async:" How To Build a Better Asynchronous Culture
You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a tricky issue needs to be resolved in a private conversation rather than in a group call. It’s often music to the attendees’ ears because it means the meeting is almost over.
Key takeaways from the Forrester Total Economic Impact Study of Xray 2025
Nowadays, efficient and integrated testing tools are essential for delivering quality quickly. Forrester's 2025 Total Economic Impact of Xray report illuminates how Xray helps organizations streamline testing processes, improve collaboration, and gain significant cost savings.