Training Artificial Intelligence Models with data in your Data Warehouse

Data Warehouse

Data warehouses are popular because they allow organizations to store large amounts of data from disparate sources in one place, making it easier to analyze and make decisions based on that data. Data warehouse software allows you to process, transform, and utilize data for decision-making. Data warehouses can provide a stable, centralized repository for large amounts of historical data. They can improve business processes and decision-making with actionable insights, and can increase a business's data strategy return on investment (ROI) and improve data quality.

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 data warehouses 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 their data warehouse. Kaspian offers native connectors for the most popular data warehouses. Just register your data warehouse as a 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.