Where I express personal thoughts in words
Two months ago, I attended the second edition of MLOps: Production and Engineering World, which is a multi-day virtual conference organized by the Toronto Machine Learning Society that explores the best practices, methodologies, and principles of effective MLOps. In this post, I would like to share content from the talks that I found most useful during this conference, broken down into Operational and Technical talks.
Marcello La Rocca is a research scientist and a full-stack engineer. He works as a consultant, creating large-scale web applications and machine learning infrastructure. He has gained invaluable experience at Twitter, Microsoft, and Apple - working on applied research in academia and industry. His work and interests focus on graphs, optimization algorithms, genetic algorithms, machine learning, and quantum computing.
Dave Bechberger is known for his expertise in distributed data architecture and being a Graph Database SME. He is known for his pragmatic approach to data architectures and for implementing large-scale distributed data architectures for big data analysis and data science workflows using various SQL and NoSQL data technologies. He is the author of "Graph Database in Action" by Manning publications and has spoken both nationally and internationally at conferences on subjects related to distributed data and graph databases.
Dave spent 20+ years developing, managing, and consulting on software projects and is currently a member of the Amazon Neptune service team. He works with both customers and engineering teams to simplify and speed the adoption of graph technologies.
