Bloomreach Engagement, an omnichannel marketing automation product, now integrates with BigQuery, providing hyper-personalized customer experiences.

Generative AI is a powerful tool for accelerating the branding process for new products or compounds.

BigQuery’s new SQL capabilities deliver improved analytics flexibility, data quality and security.

As customers scale data warehousing in the cloud with BigQuery, cost optimization becomes crucial for scalable data storage in the cloud.

CNA worked with Google Cloud and several third-party data vendors to develop a solution to address challenges with underwriting flood risk assessment.

Enterprises are leveraging cloud investments to supercharge marketing efforts by building a Composable CDP with BigQuery and Hightouch.

BigQuery Studio lets analytics practitioners use SQL, Python, Spark or natural language directly within BigQuery, to streamline analytics workflows.

By integrating Vertex AI foundation models in BigQuery, you can analyze unstructured data from right inside BigQuery.

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.