Build an interactive machine learning application with Looker and Vertex AI

Опубликовано 5 ноября 2021, 18:30

Google Cloud’s machine learning (ML) capabilities unleash endless possibilities for developing models that allow an organization to operate more efficiently. Looker and Vertex AI give business decision makers reliable, straightforward access to results. Watch and learn how to leverage Looker’s extension framework to build a custom user experience that empowers business users to explore the results of data science applications built in Google Cloud. Using Vertex AI, we’ll deploy a demand forecasting model that exports results into your BigQuery data warehouse. With Looker’s prebuilt UI components, data practitioners can easily construct a purpose-built application where end users can enter in parameters, run an ML model, visualize the output, and make informed business decisions that impact enterprise strategy and accelerate time to value.

Resources:
Visit the Next '21 website → goo.gle/3i2ayO2

Speakers:
Leigha Jarett, Sara Robinson

Watch more:
All sessions from Google Cloud Next → goo.gle/next21-allsessions
All the sessions from Google Cloud Tech → goo.gle/next21-googlecloudtech
Watch all AI & ML sessions → goo.gle/next21-AIML
Watch all the Data Analytics sessions → goo.gle/next21-dataanalytics

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product: Cloud - Data Analytics - Looker; event: Google Cloud Next 2021; fullname: Leigha Jarett, Sara Robinson; re_ty: Publish;