Systems | Development | Analytics | API | Testing

PHP Configuration Essentials for DreamFactory: Critical Settings You Need to Know

This guide focuses on the critical configurations every DreamFactory administrator must understand: memory_limit, upload_max_filesize, post_max_size, PHP-FPM worker settings, and the often-overlooked configuration hierarchy where pool settings override php.ini values.

Ai Testing: A Complete Technical Guide To Intelligent Software Quality

Testing is a very important and necessary step in the SDLC, but most teams ignore it or don’t care much about it, while some teams spend most of their time on testing instead of building features. AI is really changing the way we write code, but most people use it mainly for writing test cases, and we still end up doing it manually. So in this blog, let’s see what AI testing is, how AI helps in testing our software, what AI tools are available, and which tools help with which part of testing.

How Much Does It Cost to Build a White-Label Healthcare Analytics Software in 2025

‍ Healthcare isn’t short on data; it’s short on usable insight. Hospitals generate an enormous share of global data, and about 30% of the world’s data now comes from healthcare, growing at one of the fastest rates across industries (RBC Capital Markets). Yet an estimated 97% of health data still goes unused for care and operations (World Economic Forum).

Report: The state of software test automation in the age of AI - promising updates for 2026

When we first published this report last year, AI in software testing was still an experiment for most teams. Since then, well… everything has changed. In 2025, AI hasn’t been a promise of what’s to come — it’s become an everyday reality.

The 10 Best Data Synchronization Tools in 2026

When was the last time your analytics team waited hours—or even days—for updated data? Or your development environment fell so far behind production that testing became guesswork rather than validation? For IT leaders managing distributed systems, the challenge isn’t moving data once. It’s keeping every environment that depends on that data perfectly aligned as schemas evolve, records multiply, and business requirements shift. Manual scripts break. Full refreshes waste resources.

Banking on Gen AI: Driving Profitable and Scalable Client Engagement with Gen AI Copilots

Wealth management has always been about personal touch. Relationship managers provide a white-glove service to elite clientele - guiding investments, financial plans, and more. However, they’re under growing pressure to serve more clients and drive bank revenue, without diluting that personal connection and service quality. This dual mandate is placing relationship managers in a catch-22 situation. If they serve more clients their ability to provide personalized services diminishes, and vice versa.

AI Voice Agents with Kong AI Gateway and Cerebras

The integration of next-generation AI workloads — from large language models (LLMs) to speech-to-text and text-to-speech — demands a powerful, secure, and scalable infrastructure. This is especially true for building advanced AI voice agents, which rely on seamless, natural, and highly efficient user interaction.

What Is A Test Script In Software Testing?

Have you ever considered that even with intensive software testing and effort, important software bugs can still get through? The issue, in most cases, isn’t that you didn’t put in enough effort, but that testers evidently lack the knowledge of a proper process to follow. A test script in software testing provides very precise instructions, step by step, to manage tester consistency, use proper test data, and confirm the expected results.

Best Programming Languages for Automotive Cybersecurity

As the automotive industry accelerates toward increasingly connected and autonomous vehicles, the importance of cybersecurity in embedded software development has never been greater. But how should you go about choosing the right programming language for automotive cybersecurity?

Driver Based Forecasting: How to Build Reliable, Data-Driven Forecasts

Many organizations try to implement driver based forecasting but struggle to deliver accurate or timely forecasts. This happens not because the method is flawed, but because the underlying systems, data structure, and planning models cannot support continuous updates or cross-functional alignment. Teams often rely on spreadsheets, manual drivers, and disconnected EPM tools that make it difficult to apply consistent logic across departments.