Inflectra Blog

The Inflectra Blog contains articles on all aspects of the software lifecycle.

5 Ways You’re Wasting Time Without SpiraApp for Confluence

May 22, 2025

TL;DR: If you're juggling requirements in Spira and collaboration in Confluence, you're duplicating effort. Our brand new Confluence SpiraApp is here to streamline your workflow and give your team time back.

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Inflectra.ai Takes Center Stage: Revolutionizing the SDLC

May 20, 2025

The recent Inflectra webinar, "Your Tools Just Got Smarter: See Built-In AI in Action", offered attendees an exciting look at how artificial intelligence is being seamlessly integrated into the software development lifecycle. Adam Sandman, CEO of Inflectra, led the charge, showcasing how Inflectra.ai, powered by a strategic partnership with AWS, is set to transform the way teams work in Spira and Rapise.

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Inflectra at STAREAST 2025: Driving the Future of AI-Powered Software Quality

May 5, 2025

Inflectra had a standout return to STAREAST 2025 in Orlando, Florida, showcasing our leadership in AI-driven software quality and test automation. As a sponsor for the 7th consecutive year, Inflectra broughts dynamic booth presence, engaging demonstrations, an insightful AI-themed session, and a compelling vision for the future of software delivery. 

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Rapise 8.4 Webinar Recap: Smarter UI, Dynamic Tests, AI, and More!

May 5, 2025

We recently hosted an insightful webinar that dove deep into the exciting new features and enhancements introduced in Rapise 8.4. The webinar provided a detailed look at how these improvements aim to streamline testing processes and offered a practical demonstration of the new capabilities. For those who could not join us live or are looking for a quick refresher, here's a recap of the recording and key takeaways from the session.

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AI Software Development: How It’s Revolutionizing Lifecycles, Testing, & More

May 5, 2025

What are AI & ML?

AI (Artificial Intelligence) and ML (Machine Learning) refer to the use of computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, making predictions, and learning from experience. More specifically, “artificial intelligence” is an umbrella term that includes a variety of subcategories, such as machine learning, natural language processing, machine vision, and more (similar to our basic senses).

 

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