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A Practical Guide to AI Agents
Explore key agentic AI concepts, use cases and considerations to drive ROI.
Financial Services Resources
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DEVELOPER RESOURCES
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Partner Solution
Build a RAG-based Chatbot using Fivetran and Snowflake
StreamlitMarketingAICortex AI
Partner Solution
Question Answering on Knowledge Graphs Using RelationalAI
Cortex AINative AppsSnowparkAI+More
Certified Solution
Campaign Intelligence with Composable CDP on Snowflake using Hightouch
MarketingCortex AINative AppsDynamic Tables+More
Data Analysis with R using Posit Workbench and Snowflake
AIApplications & CollaborationMarketingSnowpark Container Services
RAG based AI App for Equipment Maintenance using Snowflake Cortex
Manufacturing & IndustrialRetail & Consumer GoodsAICortex AI
Building an Image Recognition Application
Unstructured Data AnalysisSnowparkManufacturing & IndustrialIT+More
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How AI Is Shaping the Future of Investment Banking
Artificial intelligence is redefining investment banking by unlocking new efficiencies and decision-making capabilities across the industry. From personalized client insights to real-time risk forecasting, AI technologies — especially generative AI — are enabling banks to turn vast data stores into competitive advantage at unprecedented speed and scale.
The Role of Feature Extraction in Machine Learning
Feature extraction is a core component of modern machine learning workflows. By isolating and transforming the most relevant variables in a dataset, it helps reduce noise, improve model accuracy and make more efficient use of compute resources.
