How We Used Cortex Code to Turn Finance Variance Analysis Into a Live, Intelligent Workflow
Snowflake’s Cortex Code (CoCo) enabled a finance team to replace a static Excel budget‑vs‑actual workbook with a live, AI‑enhanced dashboard in weeks. The app pulls actuals directly from Snowflake, auto‑refreshes, and provides AI‑generated variance commentary that analysts can review rather than write from scratch. Integrated collaboration lets cross‑functional users tag owners and keep discussion threads attached to line items, while role‑based permissions maintain governance. The result is a faster, auditable workflow that shifts finance focus from spreadsheet assembly to strategic analysis.
Agentic AI in Financial Services: How Nasdaq eVestment Drives Faster Investment Insights
Nasdaq eVestment has launched an agentic AI solution, the “Next Best Action” agent, built on Snowflake’s AI Data Cloud, to deliver near‑real‑time, AI‑ready institutional data for asset managers. The agent combines a proprietary scoring model with Snowflake Cortex AI to...
Multimodal Analytics: Decode Video, Audio and Images
Snowflake’s Cortex AI adds true multimodal analytics to its data platform, letting enterprises turn video, audio and image files into structured, queryable data. The service runs natively in Snowflake, so media stays in place and extracted metadata can be joined...
Cortex Code for FP&A: Faster Insight
Snowflake has launched Cortex Code, an AI‑powered coding assistant embedded in its Snowsight interface, to help finance teams build and modify SQL and Python workloads directly on governed data. By coupling AI generation with native context—roles, schemas, and cost controls—the...
Semantic Layer in Financial Services AI Risk
Financial services are rapidly deploying AI, but inconsistent semantic layers are turning data into silent errors. The Open Semantic Interchange (OSI) standard promises structural interoperability, yet firms still lack a shared conceptual vocabulary. Existing efforts like the Financial Industry Business...
Snowflake DCM Projects: Declarative Pipelines with Cortex Code
Snowflake has launched Database Change Management (DCM) Projects in public preview, offering a declarative approach to managing Snowflake objects. The new DCM skill in Cortex Code adds AI‑guided assistance, automatically suggesting definitions, validating changes, and generating execution plans before deployment....
Data Governance in Healthcare for Trustworthy AI
Healthcare providers face 3‑7‑day prior‑authorization delays despite AI pilots. Executives recognize that the root cause is not technology but trust, which hinges on data governance, transparency, and human‑in‑the‑loop controls. Snowflake, partnered with Penguin AI, offers a unified, real‑time, governed data layer...
SAP and Snowflake Unleash a New Era of Enterprise AI with Zero-Copy Integration
Snowflake and SAP announced the general availability of two joint offerings that provide zero‑copy, bidirectional integration of SAP data with the Snowflake Data Cloud. The SAP Snowflake solution extension gives new Snowflake customers a fully featured, SAP‑certified environment, while SAP...
Trusted Data Foundations for AI in Healthcare and Government
At Snowflake Accelerate 2026, leaders from healthcare and the public sector emphasized that a trusted, governed data foundation is the prerequisite for any AI success. The event showcased how breaking down data silos and adding semantic context enabled faster, more...
Snowflake Startup Spotlight: TestGorilla
TestGorilla, a global talent discovery platform, leverages more than 2 million skills‑tested candidates and over 350 science‑backed assessments to enable AI‑driven, skills‑based hiring. The company centralizes all recruitment, finance and CRM data in Snowflake, reporting up to ten‑fold faster query performance...
Snowflake and Veeva Unlock Agentic AI in Life Sciences
Snowflake and Veeva announced a joint solution that links Veeva Vault’s read‑only data to Snowflake’s AI Data Cloud via the Openflow Connector. The integration lets life‑science firms run end‑to‑end analytics and agentic AI across clinical, safety, regulatory, quality and commercial...
AI Transformation and Governance Inside Snowflake’s Ecosystem
Snowflake is moving partners from peripheral roles to core components of its AI strategy, treating the ecosystem as an operating system that delivers rapid business outcomes. Executives Amy Kodl and Teresa Briggs emphasized that AI is compressing service timelines, forcing...
Snowflake Openflow & Cortex Code: AI-Driven Data Integration
Snowflake introduced Openflow, a native NiFi‑based data integration service that runs on Snowflake‑managed or BYOC infrastructure, enabling CDC, Kafka, SaaS and file‑based ingestion without extra staging. Building on Openflow, the company launched Cortex Code, an AI coding agent that lets...
Observe by Snowflake: AI-Powered Observability at Scale for the Data Cloud
Snowflake's Observe platform unveiled an AI‑driven CLI that lets engineers and autonomous agents query and act on telemetry via reusable workflows. The update adds native read/write support for Apache Iceberg, enabling observability data to reside in low‑cost cloud storage and...
Introducing the 2026 Snowflake Startup Challenge Finalists
Snowflake announced the three finalists—Airrived, LGND AI and Twine Security—for its 2026 Startup Challenge. The companies will compete for a share of up to $1 million in Snowflake Ventures funding and mentorship from NYSE‑listed partners. Each startup showcases a distinct agentic‑AI...
Snowflake Intelligence Partner Solutions Bring AI Edge to Industries
Snowflake announced its Intelligence Partner Solutions, a suite of AI‑driven agents that let users ask natural‑language questions across both structured and unstructured data. Partners such as Anblicks, CitiusTech, Deloitte and others have built industry‑specific agents for retail, healthcare, finance and...
Datometry for Snowflake: Accelerate Teradata Migration
Datometry for Snowflake entered public preview, offering enterprises a lift‑and‑shift path from Teradata to Snowflake without code rewrites or downtime. The solution virtualizes Teradata SQL on Snowflake, enabling a three‑step repoint‑test‑transition workflow that can be completed in weeks. By eliminating...
Agentic AI in Business: From Pilots to Operations
The Accelerate 2026 conference confirmed that agentic AI has moved from pilot projects to production‑grade workflows across retail and manufacturing. Over half of retailers (58%) are already embedding AI agents into commerce, while manufacturers use AI‑powered knowledge bases to offset...
The AI Agent Identity Problem: Why Governance Is the Missing Layer in Enterprise AI
The article spotlights the "agent identity problem"—AI agents often act without a verifiable identity, defined rights, or persistent audit trails, creating compliance risk as they move from demos to production. Without built‑in governance, organizations cannot answer who authorized an action,...
Snowflake Kafka Connector V4
Snowflake announced the general availability of Kafka Connector V4, which defaults to schematized ingestion that maps each JSON key to a table column. The new connector runs on Java 11+, supports Apache Kafka 2.x‑3.x, and integrates with standard Confluent converters. Benchmarks...
Data Clean Rooms for Privacy-First Collaboration
Snowflake announced major upgrades to its Data Clean Rooms, aimed at simplifying privacy‑first data collaboration. New features include symmetric multiparty capabilities, native access through Snowsight, accelerated setup via Cortex Code, and natural‑language interaction with Snowflake Intelligence. These tools shift clean...
Beyond the Forecast: Navigating Global Volatility with Weather Intelligence
Weather has become a strategic variable for global supply chains, agriculture and shipping, driving billions in lost revenue when forecasts go awry. Cargill Ocean Transport is pairing wind‑assisted vessel retrofits and AI‑powered emissions tracking to turn weather data into fuel...
Introducing Snowflake DCM Projects: Declarative Infrastructure
Snowflake announced DCM Projects, a declarative infrastructure tool now in public preview. The solution lets users author manifest.yml and SQL definition files that describe the desired state of Snowflake objects, automatically computing diffs, resolving dependencies, and applying changes in the...
Cloud Migration Services with Snowflake LiftOff
Snowflake announced LiftOff, a partner‑focused migration program that streamlines moves to its AI Data Cloud. The initiative bundles a secure landing zone, detailed architectural roadmaps, governance frameworks, and ready‑to‑run code samples. Snowflake experts co‑manage engagements, reducing risk and accelerating time‑to‑value....
Agentic AI in Financial Services: The Ecosystem Agent Framework
Snowflake unveiled the Ecosystem Agent Framework, a unified data‑and‑AI platform that lets autonomous agents operate directly on first‑ and third‑party data without movement. By integrating Cortex Analyst, Search, Agents, and Code, the framework transforms manual data‑gathering into continuous, system‑driven workflows...
Cortex Agents: The Platform Powering Snowflake Intelligence and Enterprise AI Agents
Snowflake has launched Cortex Agents, a fully managed platform that powers Snowflake Intelligence by enabling enterprises to build, scale, govern, and iterate AI agents within Snowflake’s secure perimeter. The platform supports GA features such as MCP connectors for seamless integration...
Cortex Code Expands: One Governed Agent for Your Entire Data Stack, Everywhere You Work
Snowflake announced that its Cortex Code AI coding agent is now available as a governed Cloud Agent inside Snowsight, adding zero‑install execution, web browsing, persistent storage and background tasks. The update introduces Plan Mode and Snap & Ask, giving users a previewable...
3 Data Trends Shaping the Race to AI Across Industries in 2026
Snowflake’s Data Trends 2026 report identifies three cross‑industry AI imperatives: agentic AI is moving from pilot to production, the data foundation remains the chief bottleneck, and governance with semantic standards is emerging as a competitive moat. The report cites that...
Dbt Projects on Snowflake: Build & Deploy with Cortex Code
Snowflake’s Cortex Code adds an AI‑driven layer to dbt projects, accessible via the Snowsight UI or a lightweight CLI. The tool bridges local development and Snowflake, auto‑generating SQL, documentation, tests, and YAML updates from natural‑language prompts. It also scans run...
Snowflake Appoints Mayank Upadhyay as Chief Security & Trust Officer
Snowflake has hired veteran security executive Mayank Upadhyay as its Chief Security & Trust Officer. In his new role, Upadhyay will unify corporate defense and product engineering, creating AI‑native controls that protect both Snowflake’s platform and its customers. He brings...
Announcing Claude Opus 4.7 on Snowflake Cortex AI
Snowflake announced that Anthropic’s Claude Opus 4.7 is now available in public preview on Snowflake Cortex AI across the U.S. and EU. The model brings stronger long‑task reasoning, higher‑resolution vision, and adjustable effort controls to Snowflake’s secure AI stack. Customers can...
Startup Challenge Spotlight: Ones to Watch
Snowflake’s 2026 Startup Challenge showcased a global cohort of AI‑driven innovators, selecting ten semi‑finalists and highlighting six “ones to watch.” These startups—AAAxAgents, ContexQ, Holoplan, Hypercube, Tynapse and Unified Honey—are building data‑centric applications on the Snowflake AI Data Cloud, ranging from...
Snowflake Storage for Apache Iceberg™ Tables: Snowflake Simple Interoperability
Snowflake announced public availability of Snowflake Storage for Apache Iceberg™ tables on AWS and Azure, letting customers host Iceberg data on Snowflake‑managed storage. The service eliminates the need for self‑managed cloud buckets, providing built‑in encryption, IAM handling, and metadata tracking....
From First Principles: The Ideas That Built Snowflake — and What Comes Next
Snowflake’s 2016 SIGMOD paper earned the 2026 Test‑of‑Time Award, highlighting the company’s early vision of a cloud‑native data platform. The paper defined three core principles—unifying all data, leveraging cloud elasticity, and simplifying operations—that guided Snowflake’s architecture. Decoupling compute from storage...
How Virginia State Police Saw $3 Million in Savings with the Power of Snowflake AI
Virginia State Police adopted Snowflake Intelligence, an AI‑powered analytics platform, to break down data silos and automate financial reconciliation. The agency reported up to an 80‑fold acceleration in data processing, cutting a two‑week, four‑person effort to 45 minutes for 4,000...
Google Cloud Axion for Snowflake Gen2 Warehouses: Next-Generation Price Performance and Memory Bandwidth
Google Cloud and Snowflake have integrated Google’s new Axion processors—delivered via C4A virtual machines—into Snowflake Generation 2 warehouses. The custom Arm‑based silicon and DDR5 memory promise up to 50% faster query performance and a similar boost in memory bandwidth. Early adopters...
Startup Challenge 2026: Meet the 10 Semifinalists
The 2026 Snowflake Startup Challenge has announced its ten semifinalists, showcasing startups that are building agentic operating systems, security knowledge layers, digital twins, and AI‑driven supply‑chain tools. Each company leverages Snowflake’s data cloud—Snowpark, Cortex, native apps, and secure data sharing—to...
Snowflake Achieves Key ISO Certifications: ISO 22301 and ISO 20000
Snowflake announced it has earned two international standards certifications—ISO 22301:2019 for business continuity management and ISO/IEC 20000‑1:2018 for IT service management. The audits verified Snowflake’s processes, infrastructure and controls, confirming robust continuity plans and structured service delivery. These certifications join an existing...
Snowflake Startup Spotlight: Sema4.ai
Sema4.ai lets business experts turn domain knowledge into AI agents that can read documents, run calculations and stitch together structured and unstructured data, all deployed inside Snowflake using the Native App Framework and Cortex AI. By running natively where data...
The Finance Leader as Strategic Architect: How Snowflake Intelligence Transforms the Modern CFO
Today's CFOs must navigate volatile markets, tighter forecast cycles, and the pressure to fund AI while maintaining cost discipline. Three core barriers—unclear ROI from data investments, trust gaps in AI models, and fragmented reporting—hinder strategic excellence. Snowflake Intelligence, an AI‑powered...
Social Media Intelligence: Turn Signals Into Enterprise Insights
Snowflake and Viral Nation unveiled an AI‑driven social intelligence platform that fuses frame‑by‑frame video and audio analysis of 23 million creator posts with enterprise data. The solution, demonstrated during ADWEEK’s Big Game live event, translates real‑time cultural signals into actionable insights...
Snowflake Intelligence for Retail: Scaling Enterprise AI
The Mark Anthony Group (MAG) has moved from a traditional data warehouse to Snowflake Intelligence, turning its data platform into a generative business intelligence engine. By mandating Snowflake Secure Data Sharing in vendor RFPs, MAG streamlined real‑time data integration and...
Cortex Code Updates: Faster AI Data Engineering on Snowflake
Snowflake announced a major upgrade to its Cortex Code AI coding agent, making it generally available inside Snowsight and adding native Windows support for the CLI. The update introduces Agent Teams, a coordination layer that lets multiple sub‑agents work in...
Enterprise-Grade Data and AI Sharing, Trusted for Agents, Apps and More
Snowflake announced three enterprise‑grade data‑sharing enhancements—Listing Business Continuity and Disaster Recovery (BCDR), Resharing, and expanded observability—to support the rapid move of generative‑AI and agentic workloads into production. The new Listing BCDR feature keeps shared data products online during regional outages,...
Accelerating Redshift Modernization with Confidence: How Snowflake Automates and De-Risks Migration
Snowflake’s SnowConvert AI offers an end‑to‑end, AI‑driven solution for migrating Amazon Redshift workloads to Snowflake. It begins with an automated assessment that maps objects, gauges conversion complexity, and creates structured migration waves. The platform then converts SQL and procedural code...
Enterprise AI Governance with Snowflake Horizon & Bedrock Data
Enterprises are rapidly adopting AI, yet 79 % of security teams cannot reliably classify the sensitive data used in models, creating compliance and risk concerns. Snowflake Ventures has invested in Bedrock Data and announced a technical partnership that embeds Bedrock’s discovery...
Project SnowWork: The Easiest Way for Business Users to Get Work Done
Snowflake unveiled Project SnowWork in a research preview, an autonomous AI platform that translates outcome‑based requests into completed, data‑driven work. The service leverages Snowflake’s native data lake, security controls, and role‑based access to deliver finance, sales, marketing, and operations insights...
Intelligence and Interoperability: Data Catalog Must-Haves for AI Data Governance
Enterprises must move beyond static data catalogs toward a universal AI catalog that combines a business‑friendly semantic layer with cross‑platform interoperability. The semantic layer supplies machine‑readable context, preventing misinterpretations by AI agents, while universal interoperability ensures governance, security, and metadata...
Snowflake Ventures Invests in Aira Technologies to Power the Future of Telecom with Agentic AI
Snowflake Ventures announced a strategic investment in Aira Technologies to embed the Naavik platform within Snowflake’s AI Data Cloud, targeting autonomous telecom operations. The collaboration enables raw network counters to be transformed into actionable intelligence directly on Snowflake, supporting low‑code...
Snowflake, AWS & NVIDIA Blackwell Power Enterprise AI
Snowflake has teamed with Amazon Web Services and NVIDIA to embed Blackwell‑class RTX PRO GPUs into its AI Data Cloud via EC2 G7e instances. The integration delivers a single platform for the entire AI lifecycle—training, data loading, and both real‑time and...