Systems | Development | Analytics | API | Testing

Customer data provides a treasure trove of insights into their behavior and preferences. Marketers must leverage this information to drive strategic decisions and optimize marketing campaigns. Analysts must consolidate fragmented data across various systems to use customer data effectively. With proper data integration and governance, marketers can effectively transform their data assets into insights that inform their decision-making.

The BigQuery ML.GENERATE_TEXT function lets you use LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table.

Snowflake announced the global winners of the sixth annual Data Drivers Awards, the premier data awards that honor Snowflake customers who are leading their organizations and transforming their industries with the AI Data Cloud. This year’s winners of the Data Drivers Awards include data leaders from across global organizations, including Caterpillar, Bentley, Mitsubishi Corporation, Zoom and more.

We’re pleased to announce the launch of Snowflake Notebooks in public preview, a highly anticipated addition to the Snowflake platform tailored specifically to integrate the best of Snowflake within a familiar notebook interface. Snowflake Notebooks aim to provide a convenient, easy-to-use interactive environment that seamlessly blends Python, SQL and Markdown, as well as integrations with key Snowflake offerings, like Snowpark ML, Streamlit, Cortex and Iceberg tables.

Recently, Cloudera, alongside OCBC, were named winners in the“Best Big Data and Analytics Infrastructure Implementation” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.