Speaker "Ali Arsanjani" Details Back
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Name
Ali Arsanjani
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Company
Google
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Designation
Director, Cloud Partner Engineering
Topic
Amalgamation : Patterns for Combining Data for Machine Learning Insight
Abstract
We will be reviewing patterns that help with the process of amalgamation :
taking structured and unstructured data and combining them in insightful ways.
Considerations and best practices for :
1. Data Mining and Data Collection
2. Data Preparation and Curation
3. Annotations and Training for Machine Learning
4. Context Aperture
5. Context Aggregation
6. Ontology Mappings
7. Ensemble Neural Networks for Amalgamation
Profile
Dr. Ali Arsanjani is the Director of Cloud Partner Engineering at Google Cloud, and Head of AI Center of Excellence, where he leads the development of strategic co-innovation partnerships in the fields of Generative AI, Data/Analytics & Predictive AI/ML. His team specializes in co-innovation with ISV and GSI partners as they run, integrate and build on GCP across the ML Lifecycle. Ali also works closely with product management to shape the direction of Google's AI and analytics offerings from a cloud perspective.
In addition to his role at Google Cloud, Ali is an Adjunct Professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the Masters in Data program and the Data Science Institute, respectively.