Multimodal AI in BigQuery handles text, images, audio, and documents in one place, cutting costs and improving performance for generative AI across industries.
More Than Modalities
Like humans combine sight, sound, and language, multimodal AI fuses call recordings, product images, and PDFs to extract richer patterns, enabling deeper insights previously inaccessible.
Unified Platform Advantage
Stop stitching tools. BigQuery centralizes ingestion, governance, analytics, and AI, reducing errors and integrations, accelerating delivery, and letting teams focus on outcomes, not plumbing.
BigQuery Benefits
Faster time-to-insight, lower TCO, strong security, and future-ready architecture. Operate at enterprise scale, unify data access, and standardize policies to meet compliance requirements.
GenAI Performance
Keep data and compute together: use BigQuery ML and warehouse-native generation for lower latency, better control, and safer outputs powering chatbots, summarization, and workflow automation.
Break Data Silos
Unify structured tables and unstructured files to correlate feedback, sales, and operations. Achieve faster collaborative decisions, simplified management, and measurable analytics improvements end-to-end.
BigQuery + Vertex AI
Combine BigQuery’s data engine with Vertex AI’s modeling to build, deploy, and scale generative solutions faster, improving marketing, analytics, and governance with a single platform.