Systems | Development | Analytics | API | Testing

Appian’s latest updates deliver powerful new tools to consolidate legacy systems, automate complex knowledge work, and scale data integration. Modernization projects are notoriously high risk, but Composer derisks the start of your journey by ensuring total stakeholder alignment before development begins.

The SwiftUI vs UIKit question may seem like a sticky web of pros, cons and competing nuances. But ultimately, it boils down to one thing: Which framework is best for my specific app? The answer shouldn’t be based on hype or trends. It should be based on your own real-world parameters, like team size, UI complexity and long-term maintenance. Understanding your own development realities is crucial to making the right choice between SwiftUI and UIKit.

Both methods have their place, but identity passthrough is the go-to for modern, secure, and compliant data access.

AI APIs don't get enough credit for how much weight they're actually carrying. These AI APIs aren't merely technical connectors. They're, in fact, cost drivers and potential revenue engines. And when something goes sideways, they're ground zero. In production, they behave nothing like the traditional APIs your teams have been running for years; they introduce a whole new set of hurdles around operations, security, and governance that most organizations are still struggling to understand.

For enterprise teams evaluating API testing tools like Insomnia and Postman, understanding the real cost is critical. Postman’s recent changes and Insomnia’s alternative approach tell different stories. Let’s dive in.

In an era where API breaches make headlines weekly, choosing the right authentication mechanism isn't just a technical decision—it's a business-critical one. OAuth 2.0 has emerged as the industry standard for securing API access, and when combined with Azure Active Directory and DreamFactory, it creates a robust, enterprise-ready security architecture that protects your data while streamlining user access.

There’s no shortage of noise in AI right now. New frameworks, protocols, demos, and acronyms appear almost weekly. But when you speak directly to the teams actually shipping AI to users at scale, a different picture emerges. This is what we've learned over the last few months from speaking to CTOs, AI engineering leads, and product leaders from unicorns, public companies, and fast-growing platforms across industries where humans interact directly with AI.

AI…AI…AI… Everyone, literally every single person, is talking about how AI is transforming industries, how it is taking jobs, how it is redefining the business pathways, and whatnot. But have you ever wondered what exactly AI does? Because just talking about AI will not take you anywhere near the actual work of AI.