ML Security Operations at One of the Largest Brewing Companies • Maurits van der Goes • GOTO 2022

This presentation was recorded at GOTO Amsterdam 2022. #GOTOcon #GOTOams

Maurits van der Goes - Data Engineer at Heineken

ORIGINAL TALK TITLE
Machine Learning Security Operations at One of the World's Largest Brewing Companies

ABSTRACT
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 [...]

TIMECODES
00:00 Intro
04:42 Data democratization
05:20 MLOps: Machine learning operations
06:03 Machine learning operations life cycle
09:14 Shift-left security
09:56 What is MLSecOps?
14:39 Use case: Secure ML workbench
15:34 Use case: Insecure ML workbench
18:49 Quiz
19:55 Security importance
21:10 Sonatype Nexus
22:39 Use case: Secure ML workbench
23:50 Conclusion
24:42 Outro

Read the full abstract here:

RECOMMENDED BOOKS

#MLSecOps #DevSecOps #ML #AI #ArtificialIntelligence #MachineLearning #Security #Cybersecurity #Heineken #DataScience #Programming #SoftwareEngineering #BigData #MLOps #Sonatype #Nexus #SonatypeNexus #Azure #NewRelic

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