Most organizations have failed to achieve the value of predictive analytics. Typical data science workflows are resource intensive and the data environments within many companies are messy. Data required for analysis can be strewn across so many tools and departments, that data scientists must spend most of their time (60%) preparing data for their analysis, rather than performing the analysis itself.
Join us for this webcast where Kiran Shenoy, with Google Cloud and Looker data science expert Sebastien Fabri, will show you how you can leverage Looker with the power of BigQuery Machine Learning (BQML) to build machine learning (ML) models directly where your data lives.
You will learn how you can:
Here are the important details:
Senior Data Analyst