Contact Center AI Insights Issue Model

Docs > DDSQL Reference > Data Directory > Contact Center AI Insights Issue Model

Contact Center AI Insights Issue Model in Google Cloud is a machine learning model that identifies and categorizes recurring issues from customer interactions. It analyzes conversation transcripts to detect patterns, helping contact centers understand common customer problems and improve service quality. The model can be trained on historical data and used to generate insights for operational optimization.

gcp.contactcenterinsights_issue_model

Fields

ID	Type	Data Type	Description
_key	core	string
ancestors	core	array<string>
create_time	core	timestamp	Output only. The time at which this issue model was created.
datadog_display_name	core	string
gcp_display_name	core	string	The representative name for the issue model.
input_data_config	core	json	Configs for the input data that used to create the issue model.
issue_count	core	int64	Output only. Number of issues in this issue model.
labels	core	array<string>
language_code	core	string	Language of the model.
model_type	core	string	Type of the model.
name	core	string	Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
organization_id	core	string
parent	core	string
project_id	core	string
project_number	core	string
region_id	core	string
resource_name	core	string
state	core	string	Output only. State of the model.
tags	core	hstore_csv
training_stats	core	json	Output only. Immutable. The issue model's label statistics on its training data.
update_time	core	timestamp	Output only. The most recent time at which the issue model was updated.
zone_id	core	string