Question: Can you recommend a solution that enables fast data analysis and supports advanced statistical modeling techniques?

ThoughtSpot is an AI-infused analytics system that lets you ask complex data questions in plain English and get answers. It's got features like flexible data modeling, natural language queries and powerful visualization, and it's good for data-driven decision-making and analytics modernization. The company's customers span many industries, and its self-service interface is good for teams of a few or a few thousand people.

Another strong contender is Hex, an AI-infused collaborative workspace for data teams. It lets you explore data on modular canvases with SQL, Python and R support, and it uses AI to generate queries and create visualizations. Hex also supports more advanced techniques like data clustering, modeling and sentiment analysis, and has strong security and enterprise compliance. It's good for collaborative data exploration and visualization.

If you want a conversational AI-based interface, DataGPT is a platform where you can ask questions and get analyst-level answers. It can connect to a variety of data sources and can automatically generate insights, understand context and offer a data navigator for exploration. DataGPT is good for tasks like checking for segments, finding anomalies and comparing analysis, and is good for fast, data-driven decisions.

Last, Defog is a natural language data query system that uses fine-tuned AI models to query data on your own servers, with security and privacy built in. It can be used to build statistical models like t-tests and regressions, and it's got data privacy controls, including an on-prem option. It's good for companies that want to automate data queries and speed up their data teams' response to business users.