Snowflake integrates AI into its data cloud platform, enabling businesses to run machine learning models and analyze large datasets at scale. AI-powered features help organizations optimize their data storage and query performance, while machine learning is used to offer predictive insights and automate data management tasks. Snowflake also partners with AI companies to expand its capabilities in data science and analytics.
Our AI feature family Snowflake Cortex is showing significant adoption and we improved our go-to-market motion across the board and it's having a huge impact on new product adoption.
Quotes from snowflake Executives About Artificial Intelligence and Generative AI
We've been creating centralized and more efficient teams for some areas and removing redundant management layers, which enables us to make decisions faster and we are deploying AI to drive higher velocity while reducing overall costs.
- Sridhar Ramaswamy
Similarly, it is clear that AI is going to change how people consume data. Not only is AI going to make structured and unstructured data more interchangeable, it is also going to heavily influence areas like business intelligence.
- Sridhar Ramaswamy
...the GA of Snowflake notebooks, as well as the success and adoption of products like Cortex AI, position us well to take advantage of the new capabilities that AI will enable us to create.
- Sridhar Ramaswamy
...we just announced a partnership with Anthropic to bring their most powerful models to our customers through Snowflake Cortex AI. This gives enterprises the choice to build cutting-edge AI applications using the model of their choice with the ease, built-in security and governance of the Snowflake platform.
- Sridhar Ramaswamy
...AI needs to be a business accelerant. It's not a hobby...
- - Sridhar Ramaswamy
...our conversations are invertibly focused on where are places where we can help them get more efficient where we can help them drive more revenue...