Question: Is there a platform that uses AI to link data based on business context, rather than storage location, to provide deeper insights?

If you're looking for a platform that uses AI to link data based on business context, not where it's stored, Patterns is a strong contender. It uses large language models like GPT-4 to help you get a leg up on data analysis by generating SQL, charts and explanations of data results. The platform learns your business context and provides answers, which makes it a good fit for startups, enterprises and agencies. It also comes with text-to-analytics, a natural language interface and self-supervised learning abilities.

Another promising platform is Rasgo, which connects to Enterprise Data Warehouses (EDWs) so you can ask natural language questions and see results. Rasgo's AI-orchestrated business intelligence approach provides secure, personalized insights with deep business context. That makes it a good fit for finance teams trying to understand revenue and sales trends, and for data teams trying to offer self-service data insights to business teams.

If you want something more all-purpose, WorkHub centralizes knowledge management and automates work for an entire organization by linking multiple databases, files and URLs. With its conversational AI interface, WorkHub offers a single view of all data, natural language query abilities and AI agents that can automate work and make decisions on their own. It's good for many industries, including knowledge management and customer support.

Last, ThoughtSpot is an AI-infused analytics platform that lets you ask complex data questions in natural language and get results. It offers search and AI-infused insights, visualization and flexible data modeling. ThoughtSpot is designed to scale for companies large and small, making data exploration, analysis and sharing easy.