Training Artificial Intelligence Models with data in your Data Lake

Data Lake

Data lakes are popular because they provide a consolidated, centralized storage area for raw, unstructured, semi-structured, and structured data taken from multiple sources and lacking a predefined schema. They specialize in ingesting structured, semi-structured and unstructured data and provide mechanisms to easily ingest streaming data in addition to batch loads. Data lakes are open format so users avoid lock-in to a proprietary system like a data warehouse. They are also highly durable and low cost because of their ability to scale and leverage object storage.

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 lakes 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 lake. Kaspian offers native connectors for the most popular data lakes. Just register your data lake 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.