Mobile devices permeate almost every facet of our lives. With the number of mobile users currently at 5.1 billion and growing, mobile commerce growth will not stop anytime soon. To capitalize on this market, it’s critical to deIiver a high-quality user experience through robust mobile testing. Unfortunately, most companies have been slow to adopt mobile testing. Part of the complexity lies in setting up and configuring various iOS and Android devices.
Whether you’re developing mobile apps for business-to-business (B2B) or business-to-consumer (B2C) purposes, delivering a seamless mobile experience is critical for survival in today’s complex, fiercely competitive digital business landscape. In line with this demand, we’re thrilled to introduce Tricentis Device Cloud.
AI has reshaped the landscape of almost every industry around the world, and the software testing industry is no exception. The emergence of AI-powered tools for test automation has changed the way QA teams approach their testing activities. This article walks you through the new ways that you can leverage AI testing tools and lists the top 7 best AI testing tools that can bring your testing game to the next level.
Artificial intelligence (AI) has revolutionized the way we do quality assurance (QA). The immense value that AI brings to optimizing testing processes and enhancing efficiency simply can’t be ignored. Organizations that know how to incorporate AI into their testing will gain a strong competitive edge against their competitors.
Today, APIs are based on modern communication patterns: REST, GraphQL, or gRPC. But two decades ago, the majority of Web Services were developed with SOAP/XML. In this blog, we’ll explain how Kong Konnect can manage SOAP/XML Web Services by creating custom plugins and by using ChatGPT. We’ll cover using ChatGPT to develop a Lua custom plugin and how to deploy and test a SOAP/XML custom plugin on Kong Konnect and Kong Enterprise.
How our analytics engineering team uses ChatGPT to write the most efficient dbt packages for your most common analytics use cases.
Organizations across all industries are racing to understand large language models (LLMs) and how to incorporate the generative artificial intelligence (AI) capabilities provided by LLMs into their business activities. Thanks to LLMs’ broad utility in classifying, editing, summarizing, answering questions, and drafting new content, among other tasks they are being embedded into existing processes and used to create new applications and services.
We are excited to announce the release of the Ably Kafka Connector 3.0. Version 3 brings a host of improvements, including: Overall, the Ably Kafka connector v3.0 makes the management of Kafka pipelines extension to millions of web and mobile users simpler and more reliable.
