Marketers everywhere are anxious about what fortune the cookieless future holds — but I think we should embrace what will be a refreshing change.

Support for model fine-tuning in BigQuery takes input text (the prompt) and the expected output, and teaches the model to mimic the behavior.

In March, Snowflake announced exciting releases, including advances in AI and ML with new features in Snowflake Cortex, new governance and privacy features in Snowflake Horizon, and broader developer support with the Snowflake CLI. Read on to learn more about everything we announced last month.

With data continuously growing in complexity and quantity, ensuring data security is more important than ever when choosing to buy a business intelligence (BI) solution. From data protection to data governance, having a BI platform that enables you to control, audit, encrypt and manage user access and usage of sensitive data is essential.

insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. In today’s data-driven world, application and development teams are facing a growing demand to empower their users with greater decision intelligence. This means equipping users with the tools and insights they need to make informed choices.

BigQuery supports multimodal embedding generation via Vertex AI models, and for structured data with PCA, Autoencoder or Matrix Factorization models.

You can now query Delta Lake tables stored in Cloud Storage or Amazon Web Services S3 directly from BigQuery, without exporting or copying the data.

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. These queries can be time-consuming to write and challenging to maintain. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

In this blog series, I have been exploring the “sliding doors” – or divergent paths - organizations can take with data and analytics. Sometimes, grabbing the wrong door means missing out on creating the most value with your data. But in some instances, it can also lead you on a more serious path of breach of compliance with regulations.

Duet AI in BigQuery is now Gemini in BigQuery and includes new AI-powered assistive features to enhance productivity and optimize costs.