Talk type: Partner’s talk

Testing and monitoring the quality, functionality and availability of search and recommendation systems on machine learning

  • Talk in Russian

Aleksandr will talk about what is doing to not just test, but to build quality into their systems: from the idea and design to functionality, quality and resource-intensiveness/accessibility offline and online. And also, what it takes to ensure that a highly loaded, online-based big data processing system with a black box "Model Stack and Trait Calculation Code" inside has high availability and that its quality and functionality don't degrade.


Invited experts