Even if you have terabytes of business data, it may not be so easy to apply AI-based analytics on it. The bottleneck is often Machine Learning (ML) expertise and scalable infrastructure.
In this session, we'll start with how a data analyst can directly access vast amounts of data from the data warehouse directly in a spreadsheet. The data analyst can use tools such as charts and pivot tables to discover insights about their data. By connecting directly to the source with Connected Sheets, data integrity and security is preserved at all times.
Finally, we'll look at an end-to-end scenario, solving a business problem with AI analytics. We'll see how a data scientist can go through the steps of training, evaluation, prediction, and even model retraining with BigQuery ML.
In this session, attendees from a variety of backgrounds, including data analysts, developers, data scientists, and managers, will see how to harvest insights from their business data in the cloud.
Cloud AI Advocacy Manager at Google
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 is still referenced today.
AI+ Subscription Plans
All Courses, All Live Training, Data Analytics
LIVE TRAINING: April 6th: Getting Started with Pandas for Data Analysis2 Lessons $147.00
All Courses, All Live Training
LIVE TRAINING: April 20th: Advanced Fraud Modeling1 Lessons $147.00
All Live Training
LIVE TRAINING: September 30th: SQL Bootcamp for Data Science(6) 5.0 average rating3 Lessons $199.00