Snowflake Cortex lets users ask questions about data in plain language and returns charts or tables.
Can draft SQL or visualizations that analysts then refine and productionize.
Summarizes dashboards or reports in business-friendly language.
Snowflake Cortex helps business users discover tables and understand what they represent.
Data teams use Snowflake Cortex to quickly draft exploratory queries and documentation.
Snowflake Cortex assists in generating and maintaining more complete data docs.
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Cherre is a leading real estate data and analytics platform designed specifically for commercial real estate professionals. It aggregates and normalizes data from a wide array of sources, including public records, multiple listing services (MLS), assessor data, and private datasets, to provide a unified view of the real estate market. The platform leverages artificial intelligence and machine learning to offer predictive analytics, market insights, and risk assessment tools. Users can access comprehensive information on properties, markets, and trends, enabling informed decision-making for investments, acquisitions, and portfolio management. Cherre features customizable dashboards, robust API integration, and data visualization tools that allow for seamless analysis and reporting. Targeted at enterprises such as investors, lenders, brokers, and asset managers, Cherre enhances operational efficiency by streamlining data management and providing actionable intelligence. With continuous updates and a focus on data accuracy, Cherre helps users identify opportunities, mitigate risks, and optimize their real estate strategies in a dynamic market environment.
Databricks AI Functions describes AI and LLM-powered functions embedded in cloud data platforms. They can help write SQL, document schemas, summarize tables, or run semantic search over data and documentation. Data teams use them to speed up exploration, prototyping, and collaboration with business users.
