Systems | Development | Analytics | API | Testing

Unleashing the Potential of Generative AI in Marketing and Sales

Marketing and sales is undergoing a profound transformation as generative AI (gen AI) paves the way for advancements and innovation. With gen AI, businesses are rethinking their approaches to customer experience, productivity, revenue, and growth in both the B2B and the B2C domains.

AI vs. Generative AI: What's the Difference?

Google the topic of artificial intelligence, and you’re likely to be taken down a deep, winding rabbit hole. If you venture only a little under the surface, you will encounter fantastical terms like perceptron, sigmoid neuron, and nonlinearly separable classifications. To save you from falling into that hole, this article will give a short, clear explanation of AI vs. generative AI.

Azure SQL vs MySQL: What are the Differences?

Here we’ll review Azure SQL vs MySQL, and what their differences are. Databases have been around for ages. From ancient paper based records to modern computerized systems, they essentially serve one purpose, which is to enable data storage in a way that is structured, permanent and easily retrievable or referenced, while maintaining its integrity. Here’s the key things to know about picking Azure SQL vs MySQL: Table of Contents.

Introducing Tricentis Device Cloud: Real mobile device testing with codeless automation

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.

Simplify mobile testing with Tricentis Mobile Agent

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.

LLM and AI advancements ignite a new chapter of FinOps

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.

Use ChatGPT to Develop a SOAP/XML Custom Kong Konnect Plugin

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.

AI in Quality Insurance: Shifting From Manual to Autonomous Testing

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.