Hey there! Have you ever found yourself scratching your head over unpredictable cloud data costs? It’s no secret that accurately forecasting cloud data spend can be a real headache. Fluctuating costs make it challenging to plan and allocate resources effectively, leaving businesses vulnerable to budget overruns and financial challenges. But don’t worry, we’ve got you covered!

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.