Machine Learning for Drug Discovery Using the Google Kubernetes Engine - The New Stack

With Kafka Streams, if something breaks, it just picks up right where it left off. We can write distributed applications without having to worry about all the typical worries that engineers at Confluent have already dealt with." In addition to the usual machine-learning challenges, one of the challenges Recursion is trying to solve is cultural / organizational. "One of the things that makes us really unique, especially in the biotech space, is that we're very collaborative and cross-function in our teams," Mabey says. "Our data scientists are working side-by-side with our software engineers and our biologists." This creates technical challenges, too -- and technical solutions. "In some stacks, you'll see engineers taking data scientists' work in Python and recoding it in Java.