Snowflake Releases
Snowflake blog and product updates. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 86 Snowflake releases · Updated
- Snowflake Blog blogaisnowflakeengineerfinance ·
Snowflake's Snowplan: AI-powered financial planning platform
Snowflake has rebuilt its internal long-range financial planning model, Snowplan, on Snowflake with a Streamlit UI. This modernization addresses the limitations of large Excel models by providing a scalable, governed planning platform directly integrated with business data. The platform, now enhanced with Snowflake CoCo for conversational AI, allows finance teams to interact with forecasts and scenarios more fluidly, accelerating strategic alignment and analysis. It's designed for finance analysts, managers, and executives, allowing them to manage assumptions, generate scenarios, and understand forecast drivers through natural language queries.
feature announcement - Snowflake Blog blogaisnowflakeengineerfinancemedia ·
Snowpipe Streaming and CoCo Simplify Real-Time Data Pipelines
Snowflake's Snowpipe Streaming now offers a direct ingestion API for real-time data loading, reducing latency for time-sensitive applications. To address setup complexity, the CoCo AI coding agent streamlines configuration and script generation, enabling faster deployment of streaming pipelines. This combination benefits data engineers, particularly in industries like finance requiring immediate data analysis. Skills are available via GitHub for quickstart and advanced AI integration.
feature - Snowflake Blog blogaisnowflakeanalystfinance ·
Financial Services AI Adoption Accelerates with ROI and Agentic Focus
Financial services firms are rapidly moving from AI pilots to tangible business value, with 68% reporting quantifiable positive ROI from generative AI. Agentic AI is emerging as the next frontier, although governance will be key for safe scaling, with 30% of firms already using it in production. Proprietary data is now a foundation for competitive advantage, with 92% of firms training LLMs on their own data. AI is also showing a positive workforce impact, challenging notions of job elimination.
announcement - Snowflake Blog blogsnowflakeengineerfinance ·
Snowflake Cortex Code Enables Live Finance Variance Analysis
Snowflake's Cortex Code has been used to transform a finance variance analysis workflow, replacing manual workbooks with a governed application. This new approach enables live updates during financial close, accelerates commentary generation, and significantly reduces the need for manual data rebuilding. The solution is designed for financial planning and analysis (FP&A) teams seeking more dynamic and efficient reporting.
announcement - Snowflake Blog blogaisnowflakeengineerfinance ·
Nasdaq eVestment Uses Agentic AI on Snowflake for Financial Insights
Nasdaq eVestment is leveraging agentic AI and Snowflake Cortex with institutional data to enhance asset manager capabilities. This integration aims to accelerate prospecting, increase win rates, and deliver faster investment insights. The solution targets asset managers seeking to improve their client engagement and analysis.
announcement feature - Snowflake Blog bloganalyticssnowflakeengineerfinance ·
Snowflake Cortex Code for FP&A enhances financial reporting
Snowflake's Cortex Code now supports Financial Planning & Analysis (FP&A) teams by enabling a shift from static reports to near real-time insights. This enhancement provides governed data, streamlined workflows, and better integration with connected finance applications. The goal is to empower finance professionals with more dynamic and actionable financial data.
feature announcement - Snowflake Blog blogaigovernanceanalystfinance ·
Semantic Layer in Financial Services AI Risk
Inconsistent definitions in financial services AI create risk, drift, and governance gaps. A reliable semantic layer is crucial for mitigating these issues. This content explains the importance of a unified semantic layer for AI in finance. It highlights potential pitfalls and the need for robust governance.
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About Snowflake release tracking on ReleaseBytes
Snowflake's weekly releases, behaviour change bundles and feature announcements are easy to lose track of. ReleaseBytes follows the official Snowflake release channels and summarises each update, flagging behaviour changes and deprecations that need action before they are enforced.
Frequently asked questions
How often are Snowflake release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Snowflake release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Snowflake changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new Snowflake releases? ›
Set up a free email or Slack alert filtered to Snowflake, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the Snowflake release data come from? ›
From the official sources: Snowflake blog and product updates. Every item links back to the original vendor announcement.