Question: Is there an AI-powered analytics engineering platform that can help me speed up development and reduce the time needed to resolve analytics problems?

If you're looking for an AI-powered analytics engineering platform to accelerate development and shorten the time it takes to get answers to analytics questions, Paradime is a top contender. The platform automates the development, execution and maintenance of data pipelines, eliminating technical debt and lowering costs. It offers a code IDE with graph lineage and query SQL, no-code dbt job scheduling, data quality and observability tools, and real-time analytics health and cost intelligence. Paradime spans many industries and integrates with tools like Snowflake and BigQuery, so you can get complex analytics work done fast and efficiently.

Another top contender is Athena, an AI-native analytics platform that runs in both co-pilot and auto-pilot modes to speed up analytics workflows. It's designed for collaborative data analysis with easy integration into Enterprise Data Warehouses and supports SQL and Python for infinitely extensible workflows. Athena also offers natural language processing for workflow automation and customizable reports, so data-driven decision-making can be spread across the enterprise.

For a self-service analytics tool, ThoughtSpot is a top contender. It lets users ask complex data questions in natural language and get answers to inform business decisions. The platform offers search and AI-driven insights, embedded analytics, flexible data modeling, and governance and security controls. It's designed to scale for companies of all sizes, making it a good fit for data-driven decision-making and analytics modernization.

Last, Alteryz is an AI-infused analytics platform that automates workflows and enables self-service insights. It offers advanced features like generative and conversational AI, ETL/ELT, data preparation, and autoML. Alteryz is designed to boost productivity and efficiency, with automated processes and a strong governance environment to ensure data security and integrity. It's available in the cloud and on-premises and has been widely adopted by global enterprises.