Machine Learning Security Operations at One of the World's Largest Brewing Companies
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Data plays an increasingly important role in every industry, and that includes brewers. To foster its competitive position and expand into new markets, Heineken - a worldwide brewing leader for over 150 years - plans to leverage the vast amounts of data they collect. Machine Learning has thus become key for turning Big Data into actionable insights and data-driven improvements. But how can this be scaled in a secure way? In this session, Maurits will discuss parallels between MLSecOps and DevSecOps, talk about a specific use case from Heineken and present how Heineken manages to automate security in the entire process. You will learn more about: * Focus areas of Machine Learning Security Operations * The role of security in Machine Learning
Transcript
Data plays an increasingly important role in every industry, and that includes brewers. To foster its competitive position and expand into new markets, Heineken - a worldwide brewing leader for over 150 years - plans to leverage the vast amounts of data they collect. Machine Learning has thus become key for turning Big Data into actionable insights and data-driven improvements.
But how can this be scaled in a secure way? In this session, Maurits will discuss parallels between MLSecOps and DevSecOps, talk about a specific use case from Heineken and present how Heineken manages to automate security in the entire process.
You will learn more about:
- Focus areas of Machine Learning Security Operations
- The role of security in Machine Learning