How do you solve hundreds of machine learning problems, each for thousands of customers?
How do you do data science research without direct access to the data?
How do you scale out your solution without requiring thousands of ML and big data experts?
Oracle has been solving exactly these problems as it embeds AI into its business and consumer applications. Come and hear how the Oracle Adaptive Intelligent Apps team have built a framework which allows us to deploy and update data science to a large multi-tenant scalable platform, via a web UI, without having to write a single line of code. Crucially, it also protects our customers’ highly sensitive data by allowing the data scientists to do ML without being able to view customer data directly.
In the session you will learn how we have combined Docker, Python and Apache Beam to achieve secure, configurable, scalable, multi-tenant machine learning for our applications.