Bonus: Data Analysis with Snowflake Cortex
1. Bonus: Data Analysis with Snowflake Cortex
Every day, billions of queries are run across petabytes of data to power AI applications, train ML models, and deliver real-time insights to millions of users. Behind it all is Snowflake, a fully managed multi-cloud platform for any data workload. From pipelines and analytics to AI and ML, Snowflake gives builders the tools they need to build data-intensive applications at scale without the infrastructure overhead. That means faster cycles, less grunt work, and more business impact. Let me show you why so many developers trust Snowflake for their mission-critical data workloads. You can go further with your insights by building agents and complex, agentic workflows in Snowflake Intelligence. These agents empower business users to get answers from structured, semi-structured, and unstructured data, just by using natural language. Snowflake Intelligence helps you identify and analyze trends, generate visualizations, and get instant answers from your data. If you need powerful, fully-managed AI services, then Snowflake Cortex is the foundation you can build on. For example, Cortex Analyst lets you query your structured data with SQL using natural language. It supports semantic views, meaning you can create custom mappings between your business concepts and the tables and columns inside your Snowflake environment. This enables your team to do accurate data exploration at scale. Cortex Search provides a low-latency hybrid search engine for unstructured data. It's perfect for building powerful RAG applications and agentic workflows, helping you create an intelligent search experience on top of your data. What if you want to use generative AI directly in your queries, data pipelines, or applications? Using AI-powered SQL functions, you can perform tasks like text summarization, translation, and even sentiment analysis on top of multimodal data sources. You can even invoke your preferred LLM with a custom prompt using your data as context. These functions transform complex AI workflows into simple, powerful SQL statements, unlocking the power of AI for data engineers and data analysts alike. This unified approach to AI means less time on infrastructure and more time spent on building and scaling your powerful AI applications, all in a single secure platform.2. Let's practice!
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