Systems | Development | Analytics | API | Testing

Keboola Data Templates are AI‑enhanced, reusable pipelines you launch with one click or API call. They eliminate the need to rebuild data workflows from scratch—so every use case is a fast-track to insights and impact. No more reinventing the wheel: once a template exists, it can be shared and adapted across departments—marketing, finance, ops—saving weeks of build time and hundreds of engineer-hours.

Software testing is essential in delivering high-quality applications. It plays a crucial role in maintaining user trust and satisfaction.

The Centers for Medicare & Medicaid Services (CMS) has taken a key step toward improving healthcare efficiency and transparency. Under the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), payers must offer electronic access to prior authorization (PA) information.

Joined by hundreds of QA experts around the globe, Quality Horizon was truly a remarkable event, where a lot of thought-provoking conversations were sparked. We believe that participants of the Summit have taken home many actionable insights to improve their day-to-day work. If you haven't had the chance to join the summit, here's a quick recap. There were 5 sessions in total: Let's dive in!

In today's data-driven landscape, organizations are inundated with vast amounts of information from diverse sources. To harness the full potential of this data, it's imperative to convert it into a consistent, usable format—a process facilitated by data conversion tools. These tools are integral to modern Extract, Transform, Load (ETL) workflows, enabling seamless data integration, transformation, and loading across various platforms.

Artificial Intelligence (AI) is no longer a futuristic ambition — it’s the strategic reality of today’s most competitive Independent Software Vendors (ISVs). In our recent Seamless Intelligence: Real-World AI Success Stories from Innovative ISVs webinar, I broke down how AI is transforming the ISV landscape, offering a blueprint for how organizations can move beyond dashboards, and into the age of predictive and generative intelligence.

As AI progresses to shape the future of software development, platforms such as Claude 3.5 Sonnet are making significant strides as programming powerhouses when it comes to coding, debugging, and testing. Created by Anthropic, Claude 3.5 Sonnet has impressed with its streamlined coding process, outstanding reasoning potential, and outstanding context memory.

I'm commonly asked by customers for advice on how they can build a good platform cross-charging model for their organization. And my gut reaction is nearly always "don't." We'll come back to why I think that later, but first let's look at what cross-charging means, why you might want it, and how it can be designed.