Data science optimizes the routine in business processes, but the routine is still part of the data scientist’s internal work processes. Standard algorithms are used to collect data. The same algorithms are used to create, deploy in production, and update models.
In his report, Valeriy will talk about Alfa-Bank’s service that automates the development and implementation of neural networks to solve the bank’s main business tasks. He will address its implementation issues, working under resource constraints and possible use cases. In addition, as a pleasant bonus, the audience will learn why introducing such automation services can increase the attractiveness of banking data science for developers and researchers.