Data Analytics
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Coginiti AI is an advanced AI data analytics assistant designed to help users produce consistent, high-quality insights more efficiently. The tool leverages AI to enable users to generate SQL queries using natural language prompts, making it easier for those who may not be SQL experts to interact with their data. Additionally, Coginiti AI optimizes existing SQL queries, explains shared SQL in an integrated catalog, provides detailed explanations and solutions to errors, and elucidates query execution plans for better optimization. This comprehensive suite of features allows users to explore, manage, and analyze data within a collaborative data workspace.
Coginiti AI supports deep integration with various databases and object stores, including Redshift, Microsoft, Snowflake, IBM, BigQuery, Yellowbrick, and Databricks, ensuring easy access to data across multiple platforms. The tool is built with responsible AI principles and focuses on enabling collaborative intelligence, believing that the future of intelligence is collaborative. Coginiti AI continually evolves based on user interactions, tailoring recommendations and suggestions to individual needs. The tool also emphasizes enhancing query performance to decrease compute costs, offering assistance in leveraging indexes, optimizing joins, and reducing response times. This results in faster insights, improved resource utilization, and lower compute costs. Coginiti also provides a wealth of resources such as white papers, webinars, case studies, and a blog to help users stay updated with the latest news and perspectives in the field of data analytics.
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Generating SQL using natural language prompts
Exploring, managing, and analyzing data in a collaborative data workspace
Optimizing existing SQL queries
Providing detailed explanations and solutions to errors
Explaining query execution plans for better optimization
Supporting deep database and object store integration
Focusing on enhancing query performance to decrease compute costs
Simplifying SQL writing and making efficient queries for your data.
Accelerating data analytic projects.
Enhancing query performance to reduce compute costs.
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