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Webinar

Building a Real-Time ML Pipeline with a Feature Store - MLOps Live #16

With the growing business demand for real-time use cases such as NLP, fraud prediction, predictive maintenance and real-time recommendations, ML teams are feeling immense pressure to solve the operational challenges of real-time feature engineering for machine learning, in a simple and reproducible way. This is where online feature stores come in. An online feature store accelerates the development and deployment of online AI applications by automating feature engineering and providing a single pane of glass to build, share and manage features across the organization.

How GitLab uses k6-- and how you can do it too, with Grant Young (k6 Office Hours #27)

Grant Young, Software Engineer in Test at GitLab, talks to Nicole and Mihail from k6 about how GitLab uses k6 for internal load testing, and why they decided to include k6 in GitLab Premium so their users can run load tests easily, too. This episode of k6 Office Hours is pre-recorded-- Nicole had a presentation this week at TestCon Europe, so she needed some time to prepare and to watch other presentations.

Summer School at Collaborator: Session #3 - Ramping up with New Review Types

In its early inception Collaborator was known as Code Collaborator, with the focus of offering a platform for peer review of code files. Parts of that first moniker are still present in the current version of Collaborator: In the name of the executables for example, in case one wonders why there’s the extra ‘c’ at the beginning of those file names. Dropping the ‘Code’ piece of the name, Collaborator evolved into a much more expansive peer review tool, moving beyond just code files, to include document review for many types of files, and with the latest integration, Simulink model files.

Data And The Music Industry | Rise Of The Data Cloud

Ever wondered how is data changing the music industry? In this episode, Moin Haque, SVP of Architecture and Engineering, and Vlad Barkov, VP of Data Architecture & Engineering at Warner Music Group, discuss the transformation of the music industry during the pandemic, choosing the right business partners, making data independent, and much more.