Snowflake Unveils New Developer Tools to Supercharge Enterprise-Grade Agentic AI Development
Snowflake, the AI Data Cloud company, announced a suite of new
developer tools designed to help organisations rapidly build, test, and deploy
cutting-edge, enterprise-ready AI apps faster and more securely. New
enhancements to Snowflake’s developer collaboration environment, seamless open
source integrations, and new data quality capabilities further accelerate
productivity and reduce overhead, helping teams drive measurable business value
at scale — all within a single, governed platform.
“The
success of enterprise AI hinges on having the most trustworthy data, and the
most productive developers,” said Christian Kleinerman, EVP of Product,
Snowflake. “By delivering a single, intelligent, and governed environment,
we're not just accelerating code development and execution – we're giving every
developer a shorter, simpler path to build enterprise-ready AI apps that
actually drive value. This is the new blueprint for enterprise innovation and a
demonstration of how Snowflake is delivering on its promise of limitless
interoperability."
“Snowflake’s
new developer capabilities have been transformative, empowering us to build
data pipelines with the flexibility and interoperability we need, all while
using the tools that best fit our workflow,” said Andre Byfield, Principal Data
Architect, Enlyte. “dbt Projects on
Snowflake allowed us to deploy and orchestrate our dbt pipelines directly on
the Snowflake platform rather than having to build out that cloud
infrastructure ourselves. This represented real cost and time savings for our
lean data engineering team and delivered real-world value to our
stakeholders."
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