Systems | Development | Analytics | API | Testing

[Webinar] What's New in Katalon Studio 7.5 - Demo and Live Q&A

The latest Katalon Studio version 7.5 is packed with new features and enhancements, ranging from system configurations to script generation, execution, and reporting. In this webinar, our experts from the Katalon Team will walk you through how these new features work, its benefits, and values. Also, catch the live demo and join the Q&A session to have a better understanding of how you can make the full use of Katalon and its host of capabilities.

Countly Application Performance Monitoring solution

Performance Monitoring provides you a deeper understanding of your app performance (Android, web and iOS) and lets you optimize its performance. The Performance Monitoring SDK collects data from your application and the Countly dashboard visualizes this data so that you can review and analyze your applications performance. With this tool you can find performance issues within your application and fix them for better user experience.

Bringing ML Pipelines to Production - Challenges & Solutions - MLOPs Live #1 - With S&P Global

The session — featuring Ganesh Nagarathnam, Director Analytics & ML Engineering at S & P Global Market Intelligence, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running Al experiments at scale, versioning, delivery to production, reproducibility and data access.

How to Save Costs (& Time) on Bringing AI to Production - MLOps Live #2 - With Quadient

The session — featuring Jason Evans, Director of DXP Innovation at Quadient, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

Git-Based CI CD for Machine Learning & MLOps - MLOps Live #3 - With Microsoft & GitHub

The session — featuring David Aronchick, Head of OSS ML Strategy at Microsoft; Marvin Buss, Azure Customer Engineer at Microsoft; Zander Matheson, Senior Data Scientist at GitHub; and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility, and data access.

How to dive into behavioral analysis by grouping your users via cohorts

A cohort is a group of users that share certain event together for a certain period of time (for example: users who make payment for the first time in the last 30 days, or added 7 friends in the last week). In other words, a cohort is a group of people with similar behavioural characteristics. Cohorts let you group your users based on their actions, such as who performed add to cart event in the last 7 days but didn’t perform checkout event. List of users who belong in a cohort is automatically kept up-to-date, and you can segment funnels, retention, user profiles, flows and drill data based on cohorts you create.