We are proud to announce the General Availability of the latest version of our flagship enterprise offering, Kong Enterprise 2020. At last year’s Kong Summit, we announced our vision for the service control platform to serve as an intelligent information broker for the enterprise. Today, we’re proud to announce that we’ve taken the service control platform vision one step further to enable organizations worldwide to manage and optimize the entire service lifecycle.
Katalon website recently had a refreshed look — as you can tell from the website. Our team has revamped our website content structure, as well as the logos of Katalon products.
When Apple introduced SwiftUI back in July we immediately knew it was going to generate a lot of expectations. As app developers ourselves, we are very aware about the complexity of User Interface development in iOS. UI has been keeping apps especially expensive and error prone along the years. Many frameworks were created to improve this situation like ComponentKit, Texture or even React Native.
We’ve been thrilled to recently bring Tereza Nemassanyi to our team as our new CRO. Tereza brings more than just experience to the Keboola team from Microsoft - her unique perspective and constant devotion to speaking on innovation is the kind of thought leadership that excites us. We sat down with Tereza to get the scoop on her approach to innovation and how she thinks the innovation backlog can be the key to business growth.
We’ve incorporated desktop application (app) testing to Katalon Studio — starting from version 7.0.0. This addition to the tool’s existing capabilities (web, API, and mobile testing) will transform Katalon Studio into a complete cross-platform test automation solution.
The hype around AI is deafening, creating a noisy and confused environment. Organizations are looking for clarity on the role and application of AI in bringing more value to data, and for help avoiding the pitfalls that surround so many of these projects. These pitfalls include error-prone decision making and unintended consequences based on flawed data or “black box” algorithms, and gimmicky approaches including simple search and bolt-on AI that overpromise and under deliver.