Now Assist Data Kit

Create a dataset by importing records from a CSV or Excel file on your computer.

Create a dataset from records in an instance table by choosing the columns to include and the conditions that select the records.

Add a ground truth, which is the real-world data that is used to train and test AI models to each dataset record. You can perform this task by using the AI Data Kit application.

Enter the ground truth for each record in the labeling tasks that are assigned to you.

Set up AI Data Kit so that users in your organization can start working with datasets.

Combine one or more datasets into a data collection, choosing the columns and records to include. Then, publish the collection so that you can use it to evaluate a skill in AI Skill Kit.

Create a smaller dataset from an existing dataset by selecting records manually or by random sampling.

Provides access to all AI Data Kit features, including everything that the analyst role allows.

Provides read-only access to AI Data Kit, plus the ability to enter and save ground truth values.

Use AI Data Kit to build, curate, and manage the data that you use to evaluate AI skills and AI agents.

Mark a labeling project complete to save its ground truth values in a new dataset and data collection that you can use for evaluation.

Generate synthetic records for evaluating AI skills and agents when you don't have suitable data or can't use it for privacy reasons.

Reference topics for AI Data Kit.

Use ServiceNowAI Data Kit to add datasets to a data catalog. The curated data works with AI Skill Kit to enable AI skill development and evaluation.

Scan a dataset for personally identifiable information (PII) and other sensitive data, and cleanse the records that the scan finds.

Use AI Data Kit to add or generate datasets, prepare them for evaluation, and publish them in data collections.

View data insights to check a dataset for sensitive data or to find data quality issues in a data collection before you use it for evaluation.