Systems | Development | Analytics | API | Testing

Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights, just 1 in 10 executives believe that their employees can actually use data to make decisions.

Exploratory testing is a successful method for locating undiscovered defects in software. However, many companies request that testers use scripted test cases based on predetermined product requirements rather than exploratory testing. Although scripted test cases help find faults in a product's code, exploratory tests assist the QA team in finding difficult-to-predict problems within the features of the finished product.

2022 is coming to a close, and what better way to end the year than a list for list’s sake? As we reflect on the year passing, here are the top five Kong moments of 2022 as decided by me (because all the people more important than me are already on vacation). Read on!

ClearML is now officially integrated into the NVIDIA TAO Toolkit 🎉. For those of you that don’t know yet, the NVIDIA TAO Toolkit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training process by abstracting away the AI/deep learning framework complexity.

Clouderans made a global impact by running a number of donation activities and local giving events to celebrate the season of giving.

Enterprises who are actively increasing their AI maturity in a bid to achieve business transformations often find that with increased maturity comes increased complexity. For use cases that require very large datasets, the tech stacks required to meet business needs quickly become unwieldy.

We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?

Node.js has seen meteoric growth in recent years, making it one of the most popular programming languages on the web. By combining Javascript on the front end with Node.js for backend development, JS developers can create powerful and scalable apps that offer benefits not found elsewhere.

APIs, or application programming interfaces, have become vital components for businesses looking to compete in the digital economy. What draws business operations toward API implementation is the fact that APIs afford businesses the opportunity to get more out of their valuable data. Considering that the worldwide API management market size is projected to reach over $13 billion by 2027, it’s clear that APIs have created a prominent place for themselves in the digital economy.

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.