Connect data to begin training a model
The first step in the Akkio Flow is to connect data, as data is the fuel for any machine learning model. Akkio is a tabular AI tool, which means you’ll want historical data in a tabular format, such as a CSV, Excel file, Snowflake dataset, or Salesforce dataset. Other options include Google Sheets, Google BigQuery, Hubspot, and PostgreSQL.
In machine learning, quality, and quantity are important, so high-quality, large datasets are preferred. “Quality” means having few missing values, properly formatted data, and data indicative of the problem you’re trying to solve. There’s no minimum dataset size for connecting to Akkio, but ideally, your dataset is at least a couple hundred rows, preferably thousands (or millions) of rows.
Crucially, your dataset must be indicative of the problem at hand. For Example, you’ll need a historical customer dataset with a churn column to predict churn.