Company’s Business Intelligence and Enterprise Performance Management solutions receive recognition; 100% of surveyed customers said they would recommend insightsoftware RALEIGH, N.C. – August 9, 2024 – insightsoftware, a global provider of comprehensive solutions for finance, accounting, and operations teams, announced it earned two Industry Excellence Awards from Dresner Advisory Services.

Regarding charging for API usage, we usually gravitate towards charging per API call. While this can work for many use cases, it’s not optimal for everyone. This is where choosing the right metric to bill upon and finding a platform that supports it is crucial. In this blog, we will talk about choosing the right metric to bill upon and how to implement it in Moesif. Let’s begin by digging into what a billing metric is and how to decide which one is best to use with your AI APIs and services.

As global app downloads have doubled every quarter since 2015, and users now spend more time on apps than websites, the need for thorough mobile app testing is more critical than ever. The app testing market is projected to reach $13.6 billion by 2026. This blog will cover key mobile app testing statistics and explore why it is essential for delivering high-quality user experiences and maintaining competitive advantage.

Ever wondered if there’s more to software quality than just testing? The distinction between software testing and quality assurance (QA) might surprise you. While they are closely related and aim to ensure high-quality software, their roles and processes differ. Let’s evaluate the differences between QA and software testing and where they overlap.

The end of the zero-interest-rate period (ZIRP) has caused an awkward shift in the Minimum Viable Product (MVP) model, forcing the tech industry to redefine how quality is defined in an era when capital is low, the software market is saturated, and switching costs are lower than they’ve ever been.

If 2023 was the year of gen experimentation, 2024 is the year of gen AI implementation. As companies embark on their implementation journey, they need to deal with a host of challenges, like performance, GPU efficiency and LLM risks. These challenges are exacerbated in highly-regulated industries, such as financial services and telecommunication, adding further implementation complexities. Below, we discuss these challenges and present some best practices and solutions to take into consideration.

It’s probably the most frustrating issue customers encounter. After all, they took the time to search for a product they wanted to purchase, made it all the way to checkout, and entered their information, only to have the transaction fail. If they’re like most online shoppers, chances are this experience left them frustrated enough to take their business elsewhere.

‍McKinsey’s latest research projects that generative AI could contribute between $2.6 trillion and $4.4 trillion annually across various sectors. Experts have also observed that integrating AI-driven automation, threat detection, and low-code platforms redefines next-gen software development. Whether it is code generation, bug fixing, or even designing a new digital component, generative AI is seeping into all product engineering processes.