Systems | Development | Analytics | API | Testing

Transform Testing With Perfecto AI Validation

Perfecto’s AI Validation transforms the way teams approach testing by intelligently analyzing test scenarios, visually validating applications, and adapting to changes—all without manual intervention. Enable your team to contribute to testing with simple, plain-language scripts, validate functional, visual, and contextual elements to ensure improved coverage across all application layers, automate script creation and updates to eliminate repetitive tasks, and increase efficiency, reduce manual effort, and deliver tangible value with advanced AI-driven solutions that optimize testing processes.

The AI Tipping Point: What Healthcare and Life Sciences Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that healthcare and life sciences get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Gen AI or Traditional AI: When to Choose Each One

When it comes to leveraging AI to capture business value, it’s worth asking, “what kind of AI do we need exactly?” There are significant differences between the methodologies collectively referred to as AI. While 2024 might have almost convinced us that gen AI is the end-all-be-all, there is also what’s sometimes called ‘traditional’ AI, deep learning, and much more.

Achieve Game Changing Command Over Hybrid Cloud with Hitachi EverFlex Control

Imagine you're an IT administrator managing sprawling hybrid cloud workloads and infrastructure with multiple service catalogs, each requiring meticulous attention to detail and manual analytic and administrative effort. Your team is constantly juggling between different tools, struggling with infrastructure observability and management productivity, facing challenges optimizing costs and gaining actionable insights.

Gen AI in Action: Customers Use Cortex AI to Save Time and Personalize Customer Experiences

For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them. But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational; it’s accessible and applicable now.

AI in Software Development: Transforming How We Build Applications

According to a report by Verified Market Research, the Artificial Intelligence software development market will reach USD 2740.46 billion by 2031. AI has seamlessly integrated into the Software Development Life Cycle (SDLC), becoming a crucial tool for developers. By blending human creativity with AI, developers can achieve more ingenious and efficient outcomes.

Agentic AI: The Top 5 Challenges and How to Overcome Them

As generative AI continues its unprecedented surge in popularity, we are already seeing it evolve into the next generation of machine learning-driven technologies: agentic AI. With agentic AI, we are not just prompting models and receiving an answer in a simple one-step process. The AI is engaging in complex multi-step processes, often interacting with different systems to achieve a desired outcome.

Is AI Making Development Harder Instead of Easier?

AI was hyped as the big solution to developer productivity, but the 2024 DORA report paints a different picture. Here’s what’s holding teams back: Developers don’t need help writing code—they need time to write it. AI isn’t clearing their calendars of endless meetings. Tech debt and documentation remain roadblocks, and AI tools aren’t solving them. AI can assist, but it often acts like a junior dev—adding more work instead of reducing it.

AI Promised to Boost Productivity-Did It Deliver?

Are AI tools really helping developers, or are they creating more problems than they solve? In this episode of Test Case Scenario, Jason Baum, Marcus Merrel, and Evelyn Coleman are joined by Titus Fortner, Senior Solutions Architect at Sauce Labs, to unpack the surprising findings from the latest DORA report. Together, they dive into the unexpected decline in productivity following AI adoption and discuss the challenges developers face in balancing automation, innovation, and collaboration.

How to Drive Business Growth with Innovation. Interview with Sean Everett | The Innovation Blueprint

Welcome to Episode 6 of The Innovation Blueprint! This time, we’re diving deep into the impact of AI, data, and digital tools on real estate investment and business scaling. Our guest? Sean Everett, CEO of Evergence — a company that helps executives and boards tackle tough scaling challenges through acquisition and innovation. With decades of experience leading AI-driven growth strategies for Fortune 500s, private equity, and high-growth startups, Sean has built products used by billions, attracted acquisition interest from Apple and Box, and driven explosive business growth.