Systems | Development | Analytics | API | Testing

Artificial intelligence is becoming a core part of modern software. From fraud detection to recommendation systems, machine learning models are shaping business outcomes and user experiences. But with this progress comes complexity. Unlike traditional applications, AI systems don’t behave in predictable ways. They adapt, learn, and sometimes make mistakes that are hard to trace.

In a special session at Qlik Connect this past May in Orlando, attendees got to hear from three industry leaders - Dave Freriks from Qlik, Randy Pettus from Snowflake, and Sathisan Vannadil from AWS - all coming together to detail a cutting-edge integration of generative AI across the three different platforms. Their mission: help oil and gas companies harness the power of advanced data solutions to manage complexity, drive efficiency, and accelerate decision-making.

In the competitive world of web apps, **javascript for performance** is a strategic lever. Small changes in script behavior yield outsized benefits in speed, responsiveness, and user satisfaction. If you’re ready to take performance seriously, try LoadFocus to instrument and stress-test your JavaScript across real usage scenarios. You’ll see exactly which pieces of code slow you down—and how to fix them. Is Your Infrastructure Ready for Global Traffic Spikes?

For decades, testing was about ensuring predictable outcomes in mostly static environments. Today, AI-driven applications are dynamic, adaptive, and sometimes unpredictable. That raises the stakes for quality engineering. When Gartner rolls out a brand-new Magic Quadrant, it’s a big deal to those of us in the software industry. We believe it signifies a new, innovative tech has officially arrived on the global stage.

The launch of Nigeria's open banking era is a mandate that is rapidly moving from a regulatory concept to a technical requirement. For CIOs and CISOs of Nigerian banks, this shift presents both a significant compliance challenge and a strategic opportunity. The primary concerns are maintaining security while exposing customer data, understanding the specific technology needed, and ensuring the investment delivers ROI are paramount.

Looking to embed analytics into your software? Your method of integration boils down to a key trade-off between cost, time, and customization. Book a demo and see how Yellowfin makes embedding analytics easy. As a software product owner, you already know that embedded analytics is a game-changer for delivering a great user experience and creating a truly data-driven user experience.

On September 23 and 24, we hosted AI Engineer Paris 2025 at Station F — a one-day gathering of builders, researchers, and practitioners exploring the future of applied AI. With five talk tracks, 48 sessions, and 25 sponsors, the event brought together the best of the AI engineering community in Europe and worldwide. If you want a full recap of the key themes and takeaways from the talks, check out our event recap blog post.

In today’s data-driven world, companies depend on accurate and trustworthy data to make better decisions. ETL (Extract, Transform, Load) testing is a key factor in data reliability, as it ensures that data is accurately extracted from multiple locations, transformed correctly, and loaded into the target system correctly without loss or error.

‍ In 2025, enterprises are under more pressure than ever to do more with less, be agile, maintain reliability, and support growing adoption of AI, cloud, and hybrid systems. IT infrastructure automation is no longer a “nice-to-have” but is becoming mission-critical. Recent industry research shows just how fast this shift is happening.

Looking to integrate industrial data with modern web applications? Here's the gist: Kepware collects OPC UA data from industrial devices, while Ignition processes and shares it as REST APIs. Together, they bridge industrial systems with web tools like dashboards, mobile apps, and cloud analytics. Key Takeaways: 1. Kepware acts as an OPC UA server, gathering and converting data from industrial devices. 2.