Built with BigQuery: The new era of CDPs Built on BigQuery
Enterprises are leveraging cloud investments to supercharge marketing efforts by building a Composable CDP with BigQuery and Hightouch.
Enterprises are leveraging cloud investments to supercharge marketing efforts by building a Composable CDP with BigQuery and Hightouch.
By integrating Vertex AI foundation models in BigQuery, you can analyze unstructured data from right inside BigQuery.
BigQuery Studio lets analytics practitioners use SQL, Python, Spark or natural language directly within BigQuery, to streamline analytics workflows.
BigQuery ML inference engine lets you run inference over custom models, remote models, and pretrained models within your machine learning workflow.
You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands.
TraceMark’s sustainable sourcing monitoring platform provides transparency into global supply chains about the sourcing of raw materials.
Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.
Atlas AI‘s geospatial artificial intelligence platform that helps organizations anticipate changing societal conditions to help them make investment decisions.
The new BigQuery connector to Google Earth Engine improves ease-of-use and enables new analyses that combine raster and tabular data.
BigQuery, PubSub, Scheduler, Monitoring and more work together to make your DevOps processes easier with sampling data.