Snowflake Announces State-of-the-Art AI to Talk to your Data, Securely Customize LLMs and Streamline Model Operations

Generative AI presents enterprises with the opportunity to extract insights at scale from unstructured data sources, like documents, customer reviews and images. It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications. These opportunities also come with challenges for data and AI teams, who must prioritize data security and privacy while rapidly deploying new use cases across the organization.

Meanwhile, machine learning (ML) remains valuable in established areas of predictive AI, like recommendation systems, demand forecasting and fraud prevention. But because the infrastructure requirements of gen AI differ from those of ML, even within the same team, data is duplicated across systems, leading to ungoverned data pipelines that add operational costs and heighten data risks.

Snowflake is committed to help enterprises continue to unlock new levels of productivity and insights in a way that is efficient, easy and trusted, regardless of whether the use case is using generative AI, machine learning or both...

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