Training Artificial Intelligence Models with BigQuery Data

BigQuery

BigQuery is a cloud-based data warehousing solution that is part of the Google Cloud Platform (GCP). It is designed to handle large amounts of data and is used by businesses of all sizes. One of the reasons BigQuery is so popular is because it is fast and scalable. It can handle large amounts of data quickly and efficiently, making it ideal for businesses that need to process large amounts of data. BigQuery also has native integrations with the most popular BI tools. This means you can connect tables to Data Studio, Looker, Power BI, Tableau, and other visualization tools with a few clicks.

Artificial Intelligence Models

Artificial intelligence (AI) models are computer programs that can perform tasks that would normally require human intelligence to complete. AI models are popular because they can automate tasks that would otherwise require human intervention, such as image recognition, natural language processing, and decision making. AI models can also help businesses make better decisions by providing insights into customer behavior and business operations.

With the growing popularity of both BigQuery for storage and artificial intelligence models for AI deployments, it is unsurprising that many organizations are seeking to train artificial intelligence models using data in BigQuery. Kaspian offers native connectors for this operation. Just register your BigQuery datastore and link your model training job; Kaspian's autoscaling compute layer makes it easy to train and deploy artificial intelligence models using any data in your cloud with minimal setup or management.

Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.