Systems | Development | Analytics | API | Testing

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.

Track goal completion rates in your mobile app by using Funnels and discover user activities

Funnels are used to track the goal completion rates of a step by step path inside your application. These goals (steps) are defined as custom events in Countly and you don't need any extra/new API calls if you have already been using custom events. Countly Drill is advanced segmentation feature, available with Enterprise Edition. Drill can be very powerful when it comes to understanding segmented data. This video provides more information and shows how to use Countly Funnels and Drill.

Deep Dive: Android Fan Out Builds

Success on mobile is about speed and it's about quality. In this webinar, Bitrise Sales engineer Tamas Bazsonyi explains how to get the best of both, by demonstrating how to combine speed and quality by speeding up Android builds on Bitrise. We are going to share a couple of suggestions to speed up your android builds and also share a sample solution for fan out builds with your Android project.

Debug Your Apps from Anywhere with Sauce Labs Virtual USB

Today many organizations across the globe have shifted to a remote workforce. While this move may be temporary for some, it requires testing teams to reevaluate how they are testing their web and mobile apps. Traditionally a developer would have a number of devices on their desk or available from a physical device cart in the office, but testing and debugging an app when you don’t have the affected device readily available is a hassle. In a live demo of Sauce Labs Virtual USB, we’ll show you how Virtual USB (vUSB) simulates connecting a real device with a USB cable directly to your local machine during a live or automated testing session. With this functionality you can easily interact with a device in the Sauce Labs Real Device Cloud via an integrated development environment like Android Studio, or using browser-based tools like Chrome DevTools.