DataCouncil.ai - NYC Data Engineering & Science hosts events where lead engineers & data scientists from pre-screened companies present talks on their projects for the benefit of the data community. NYC companies are doing amazing things with data and we've created this event to help them showcase their work and help other engineers level up.
What you'll gain from this group:
* a better understanding of the best OS tools to use in building your own data infrastructure (pipelines, platforms, storage options, etc.)
* real world examples from top technical companies explaining the data platforms their engineers are building
* applied data science talks that explain the minimum level of algorithmic understanding engineers should have to work better with their data science counterparts, or to become a Machine Learning Engineer-unicorn themselves
* highly technical conversations with other attendees, and announcements of the best data events and opportunities in the NYC area
6:00 pm EST- Talk: Privacy-Preserving Machine Learning
Talk: Privacy-Preserving Machine Learning
Romeo Kienzler, Chief Data Scientist @ IBM’s Center for Open Source Data and AI Technologies (CODAIT)
Data privacy is a huge concern and often prevents ML and AI projects from flourishing. In this talk, we will introduce you to federated learning and homomorphic encryption. After we’ve covered the theoretical aspects we will see how they can be used in practice. We conclude with an outlook on the future of these technologies.