Systems | Development | Analytics | API | Testing

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.

Kotlin has gradually replaced Java as the lingua franca of Android programming. It’s a more concise language than Java, meaning your code works harder and you can build leaner applications. And Kotlin Collections are fundamental. These collections play a fundamental role in our work as programmers by simplifying the organization and management of data. Whether it’s a list, set, map or other data structure, they allow us to categorize and store data logically.

Kubernetes is one of the most popular container orchestration platforms. It helps with automated deployment, scaling, and management of containerized applications. But sometimes, it experiences some turbulences - as in a CrashLoopBackOff Error. Calling it an error is not entirely right. It expresses a state of restart loop happening somewhere in the background, i.e., in a pod.

Sealed classes are a feature introduced in Java 15 which bring a new level of control and predictability to class hierarchies. A sealed class is a class that explicitly specifies which other classes are allowed to extend it. This offers a way to restrict class hierarchies, making them more predictable and less prone to unintended extensions.

Modern applications are expected to be up 24/7, and that puts certain pressure on the performance testing team. One of their goals is to continuously monitor real users’ interactions with the site and develop a performance benchmark based on that information. However, there’s a catch: sometimes real user monitoring doesn't allow you to observe the system's behavior in extreme scenarios (such as sudden spike in traffic or abnormal user behaviors).

APIs enable seamless data communication among software applications and digital services, making it one of the most essential backbone of our modern society. Carrying such importance, API testing is always highly recommended to ensure that the API is working as expected. However, APIs may not be fully available to be tested, especially during the earlier stages of development, or when the API providers impose certain access restrictions to their APIs.