You can now use Cloud KMS Autokey to automate the creation and use of customer-managed encryption keys (CMEKs), including the Cloud HSM service

## Feature You can now use [Cloud KMS Autokey](https://cloud.google.com/kms/docs/autokey-overview) to automate the creation and use of [customer-managed encryption keys (CMEKs)](https://cloud.google.com/bigquery/docs/customer-managed-encryption), including the [Cloud HSM](https://cloud.google.com/kms/docs/hsm) service. This feature is [generally available (GA)](https://cloud.google.com/products/#product-launch-stages). ## Feature BigQuery ML now offers the following expanded embedding support features: * Using the[ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-generate-embedding)with a[remote model](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model)based on a[Vertex AI multimodalembedding large language model (LLM](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#models)) to create multimodal embeddings, which embed text, image, and video into the same semantic space. * Using the `ML.GENERATE_EMBEDDING` function with a[principal component analysis (PCA)](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-pca)model or[autoencoder](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-autoencoder)model to create embeddings for structured[independent and identically distributed random variables (IID)](https://en.wikipedia.org/wiki/Independent%5Fand%5Fidentically%5Fdistributed%5Frandom%5Fvariables)data. * Using the `ML.GENERATE_EMBEDDING` function with a[matrix factorization](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-matrix-factorization)model to create embeddings for user or item data. Try these capabilities with the following tutorials: * [Generate image embeddings by using the ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/generate-visual-content-embedding) * [Generate video embeddings by using the ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/generate-video-embedding) * [Generate text embeddings by using the ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/generate-text-embedding) * [Generate and search multimodal embeddings](https://cloud.google.com/bigquery/docs/generate-multimodal-embeddings) These features are[generally available](https://cloud.google.com/products/#product-launch-stages)(GA). ## Feature BigQuery ML now offers the following AI features: * You can process documents from BigQuery [object tables](https://cloud.google.com/bigquery/docs/object-tables) by doing the following: 1. Creating a [remote model](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-service#remote%5Fservice%5Ftype) based on the [Document AI](https://cloud.google.com/document-ai) API, including [specifying a document processor](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-service#document%5Fprocessor) to use. 2. Using the [ML.PROCESS\_DOCUMENT function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-process-document) with a Document AI-based remote model to process the documents. Try this feature with the [Process documents with the ML.PROCESS\_DOCUMENT function](https://cloud.google.com/bigquery/docs/process-document) how-to. * You can transcribe audio files from BigQuery [object tables](https://cloud.google.com/bigquery/docs/object-tables) by doing the following: 1. Creating a [remote model](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-service#remote%5Fservice%5Ftype) based on the [Speech-to-Text](https://cloud.google.com/speech-to-text) API, including[ specifying a speech recognizer](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-service#speech%5Frecognizer) to use. 2. Using the [ML.TRANSCRIBE function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-transcribe) with a Speech-to-Text-based remote model to transcribe the audio files. Try this feature with the [Transcribe audio files with the ML.TRANSCRIBE function](https://cloud.google.com/bigquery/docs/transcribe) how-to. These BigQuery ML feature are [generally available](https://cloud.google.com/products/#product-launch-stages) (GA).