AI Based Analytics in the Cloud:
Even if you have terabytes of business data, it might not be easy to apply AI-based analytics to it. The bottleneck is often Machine Learning (ML) expertise and scalable infrastructure.
We'll first look at how you can access vast amounts of data from the data warehouse directly in a Google Sheet. Then, you'll see how it's possible to train custom ML models with that data, without ever leaving the spreadsheet.
Cloud AI Advocacy Manager
Karl Weinmeister is a Cloud AI Advocacy Manager at Google, where he leads a team of data science experts who develop content and engage with communities worldwide. Karl has worked extensively in machine learning and cloud technologies. He was a contributor to one of the first AI-based crossword puzzle solvers that are still referenced today.
Karl Weinmeister is a Cloud AI Advocacy Manager at Google, where he leads a team of data science experts who develop content and engage with communities worldwide. Karl has worked extensively in machine learning and cloud technologies. He was a contributor to one of the first AI-based crossword puzzle solvers that are still referenced today.
Google Cloud Platform
GCP Customer Engineer, San Diego Enterprise
Protea Technology Services
Software Engineer
