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Speaker "Ali Arsanjani" Details Back

 

Topic

Best and Worst Practices for Creating a AI/ML Practice: The Ten Labors of a Data Scientist

Abstract

In this talk we will explore some positive and negative practices in getting a AI/ML Division up and running.

We will explore seven dimensions:

Organizational: Setting up a ML Practice, the AI Center of Excellence
Governance: How to set up the Data infrastructure to make ML Modeling even possible
Applications/Tools : technical Feasibility Exploration or "are you ready for a commitment?"
Architecture : SOA meets ML and Falls in Love
ML Models: What to use , when
Infrastructure: How do I move data around? How do I deploy Models?

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.