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Technical tracks for practitioners, outcomes for leaders.

Deploy Enterprise-ready AI forFinancial Services

Snowflake Cortex AI helps financial institutions utilize AI by focusing on access, trust, and commercial impact.

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A unified data + ai platformbuilt for financial services

Deploy and build agentic AI applications for finance faster with Snowflake Cortex AI

Unified access to

data + AI

Seamlessly bring together AI-ready first-party and third-party structured and unstructured data next to state-of-the-art LLMs.

Enterprise-grade

trust

Combine industry-leading AI with deep financial services expertise, end-to-end AI observability, and enterprise-grade security and governance controls.

Commercial

Value

Focus on building workflows and delivering business outcomes by enabling agentic experiences for all users, while driving efficiencies with workflow automation.

Powering Financial Services Leaders

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Snowflake's AI Framework: From Data ingestion to Agentic Applications

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A suite of AI capabilities

Process & Transform Unstructured Data

Cortex AISQL (PuPr*) embeds AI features directly into SQL functions, allowing data analysts to process and transform multimodal data with ease – turning PDFs, call center transcripts, claim documents into insights.

Access AI-ready Third-party Data

Cortex Knowledge Extensions and the Sharing of Semantic Views (PuPr*) facilitate access to AI-ready third-party data, like The Associated Press, CB Insights, Cotality, MSCI and more – all via Snowflake Marketplace.

 

Embed Agentic AI for Automation

Cortex Agents orchestrate across structured and unstructured data sources to deliver precise insights, while Data Science Agent allows teams to build ML models using simple text prompts instead of manual coding.

Standardize how LLMs Integrate with Data, API's and Services

Snowflake MCP Server (PuPr*) allows firms to connect Snowflake’s AI capabilities, like Cortex Analyst and Cortex Search, to external agents, simplifying application architecture and eliminating the need for custom integrations.

*PuPr means Snowflake Public Preview

Democratize Insights for Business Users

Deliver trusted, self-service insights to anyone across the enterprise with Snowflake Intelligence, a unified conversational experience, empowering employees to make faster, smarter decisions with all of their business context at their fingertip.

 

Ensure AI Observability & Performance

Make your AI more trustworthy and transparent by leveraging end-to-end AI observability to measure the performance of your AI systems and its impact to your business.

AI in action: See Cortex ai power next-gen investment analytics

The AI Ecosystem forFinancial services

Tap into a robust ecosystem of financial data and knowledge providers that organizations can integrate with their agentic applications

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AI use casesfor financial services

Investment Analytics

Unearth insights from structured and unstructured data to inform portfolio rebalancing and optimization, while tracking performance against benchmarks.

Valuation & Due Diligence

Perform both public and private company fundamental analyses by bringing together your ecosystem of data – from equity research and fundamental data to AI-generated data. 

 

 

Financial Crime

Focus on building a strategy by leveraging agentic AI to accelerate fraud detection ML model development and deployment – all using simple text prompts instead of manual coding.

Underwriting

Leverage ML to automate submission triage models that prioritize risk, generate geospatial risk models that assess climate, crime and catastrophe exposure to dynamic risk segmentation models that refine pricing and proactively monitor risk using IoT and telematics data.

Customer 360 & Next Best Action

Build recommendation systems to enable improved targeting based on user preferences, transaction history, and situational factors - all leading to accurate and up-to-date next best action, up-sell and cross-sell recommendations.

 

Risk Management

Accelerate ML regression models and decision tree model development and training in order to analyze the non-linearities and dynamic nature of the financial markets and predict future market trends and potential risks.

Where Data Does More