# Built-in AI/ML Functions with Confluent Cloud for Apache Flink Confluent Cloud for Apache Flink® provides built-in functions that run AI/ML inference directly in Flink SQL, without separate model-serving infrastructure. Built-in functions support these AI/ML tasks: - [Detect Anomalies with the ML_DETECT_ANOMALIES function](detect-anomalies.md#flink-sql-detect-anomalies) - [Forecast Trends with the AI_FORECAST function](forecast.md#flink-sql-forecast) - [Analyze Sentiment with the AI_SENTIMENT function](sentiment.md#flink-sql-sentiment) - [Detect PII with the AI_DETECT_PII function](pii-detection.md#flink-sql-pii-detection) The following functions are available for building AI/ML workflows. - [AI_COMPLETE](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-complete-function): Generate text completions. - [AI_DETECT_PII](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-detect-pii-function): Detect and redact personally identifiable information (PII) in text. - [AI_EMBEDDING](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-embedding-function): Create embeddings. - [AI_FORECAST](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-forecast-function): Forecast future values in time-series data using foundation models. - [AI_SENTIMENT](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-sentiment-function): Analyze sentiment toward specific aspects in text using aspect-based sentiment analysis. - [AI_TOOL_INVOKE](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-tool-invoke-function): Invoke MCP tools. - [ML_DETECT_ANOMALIES](../../flink/reference/functions/model-inference-functions.md#flink-sql-ml-anomaly-detect-function): Detect anomalies in your data. - [ML_EVALUATE](../../flink/reference/functions/model-inference-functions.md#flink-sql-ml-evaluate-function): Evaluate the performance of an AI/ML model. - [ML_PREDICT](../../flink/reference/functions/model-inference-functions.md#flink-sql-ml-predict-function): Run a remote AI/ML model for tasks like predicting outcomes, generating text, and classification. Confluent Cloud for Apache Flink has many other functions for building AI/ML workflows. - [Aggregate Functions](../../flink/reference/functions/aggregate-functions.md#flink-sql-aggregate-functions) - [Changelog Conversion Functions](../../flink/reference/functions/changelog-conversion.md#flink-sql-changelog-conversion-functions) - [Collection Functions](../../flink/reference/functions/collection-functions.md#flink-sql-collection-functions) - [Comparison Functions](../../flink/reference/functions/comparison-functions.md#flink-sql-comparison-functions) - [Conditional Functions](../../flink/reference/functions/conditional-functions.md#flink-sql-conditional-functions) - [Datetime Functions](../../flink/reference/functions/datetime-functions.md#flink-sql-datetime-functions) - [Hash Functions](../../flink/reference/functions/hash-functions.md#flink-sql-hash-functions) - [JSON Functions](../../flink/reference/functions/json-functions.md#flink-sql-json-functions) - [ML Preprocessing Functions](../../flink/reference/functions/ml-preprocessing-functions.md#flink-sql-ml-preprocessing-functions) - [Model Inference Functions](../../flink/reference/functions/model-inference-functions.md#flink-sql-model-inference-functions) - [Numeric Functions](../../flink/reference/functions/numeric-functions.md#flink-sql-numeric-functions) - [Search Functions](../../flink/reference/functions/search-functions.md#flink-sql-search-functions) - [String Functions](../../flink/reference/functions/string-functions.md#flink-sql-string-functions) - [Table API Functions](../../flink/reference/functions/table-api-functions.md#flink-table-api-functions) ## Related content - [ML Preprocessing Functions](../../flink/reference/functions/ml-preprocessing-functions.md#flink-sql-ml-preprocessing-functions) - [Model Inference Functions](../../flink/reference/functions/model-inference-functions.md#flink-sql-model-inference-functions) #### NOTE This website includes content developed at the [Apache Software Foundation](https://www.apache.org/) under the terms of the [Apache License v2](https://www.apache.org/licenses/LICENSE-2.0.html).