Systems | Development | Analytics | API | Testing

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API Testing Mistake #1: Focus on the Most Typical Messages - Robert Schneider

All of us want to create reliable and effective API tests. We are here to help you with this! We are starting a series of interviews to analyze the most common mistakes that occur when testing APIs. We will tell you how to avoid such mistakes and change your testing methodology. Today, we will discuss why focusing only on the most common messages when preparing tests is bad.

Modernizing the IT architecture for a successful digital transformation

In a competitive world driven by consumers, companies are all facing the same business challenge: they need to make their data available to their business teams, enabling them to deliver better experiences and to streamline operations. IT plays a strategic role here as it can accelerate delivery of trusted data.

Kong Makes it onto Forbes' List of Next-Billion Dollar Startups!

This year has been momentous in Kong’s journey as we have tripled in size, outgrown multiple offices and announced a successful Series C round. Today, we celebrate yet another huge milestone with the news that Forbes has included us in their annual list of Next-Billion Dollar companies. We are honored to receive such recognition and to be on the same list as 24 other ground-breaking companies that I can imagine are as elated as we are right now.

The Gendarmerie Nationale uses data to strengthen French national security

In 2010, the Union of European Football Associations (UEFA) named France the 2016 host of the European Championship. Paris was also set to host the UN Climate Change Conference, COP 21, in late 2015, another major international event with high-stake security issues. How to make sure dangerous individuals would not have access to very sensitive areas?

The way people consume data is changing

There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.

The Hole Story and Bias in AI

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.

The way people consume data is changing

There's been a lot of discussion around the proliferation of data sources in organizations and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete. People are always going to receive data from multiple channels and on multiple devices, and you can’t change that. But how do you know what data you can trust?