In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.

we'll show you how to authenticate and authorize your APIs on top of Kong with Okta using an OpenID Connect plugin.

George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.

Are you grappling with flaky tests and grappling with the choice of framework for web testing? It's crucial for end-to-end (e2e) tests to be faster, stable, and reliable. But, is Cypress the solution we've been looking for? Let's explore. Joining us as our guest QA Therapist in this episode is Filip Hri, a Cypress ambassador.

This video shows you how to add the SHAP data to your Qlik Sense App - so you can prepare analytics about the influencers behind the predictions and eventually use this data to explore some new predictive scenarios with our Qlik AutoML connector.

In this video, we dive into a few key strategies for testing on the latest device models, to ensure your app stays cutting-edge and performs seamlessly on the newest platforms.

Ever feel like you’re wasting energy on endless automation tests that just don’t cut it? @Veronika Takmazyan recommends focusing on stability and quality right from the start. If you invest in quality early on, you’ll avoid the headaches of fixing bugs and rewriting code later. Deliver once, deliver well, and move on to the next big thing. If you’re wondering how to get your team on board with this mindset, Veronika sums it up perfectly.

Using Apache Flink watermarks can create havoc when you have a stream that has significant delays between records. In this video we’ll talk about a possible solution to this situation using a batch close record, which will ensure that your data is up to date.

An overview of the different types of API performance testing (load, stress, spike, etc.), highlighting the core benefits like preventing outages and improving user experience.

Explores the financial and reputational impacts of poor API performance, using real-world examples to show how delays and downtime affect businesses.