Applying Generative AI to product design with BigQuery DataFrames
Generative AI is a powerful tool for accelerating the branding process for new products or compounds.
Generative AI is a powerful tool for accelerating the branding process for new products or compounds.
As customers scale data warehousing in the cloud with BigQuery, cost optimization becomes crucial for scalable data storage in the cloud.
BigQuery’s new SQL capabilities deliver improved analytics flexibility, data quality and security.
The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day— that’s multiple thousands of terabytes!—there is the potential to understand, in great detail, how people, businesses, cities and ecosystems function.
In the age of the AI revolution, where chatbots, generative AI, and large language models (LLMs) are taking the business world by storm, enterprises are fast realizing the need for strong data control and privacy to protect their confidential and commercially sensitive data, while still providing access to this data for context-specific AI insights.
Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.
With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good information around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.
With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good data around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.
Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.