Question: Is there a tool that helps teams collaborate on data-driven projects and assigns tasks based on insights and priorities?

If you're looking for a tool to help teams work on data projects and assign tasks based on insights and priorities, Hex is a great choice. It's an AI-infused collaborative workspace geared for data teams, with abilities like data exploration on modular canvases, AI-assisted query generation and interactive reporting. Hex also supports several programming languages and can connect to popular data warehouses, so it's a good choice for teams of any size.

Another contender is Athena. This AI-first analytics tool speeds up work by running in co-pilot and auto-pilot modes, learning from team members so it can handle tasks on its own. Athena supports concurrency for more than 100 people and offers customizable reports and causal AI models that can help teams make more balanced decisions, so it's a good choice for data analysis teams.

Coginiti is geared to unify capabilities for consistent analytics and data operations. It includes modular analytic development, team collaboration tools and a data quality framework to ensure data products are reliable and trustworthy. Coginiti also can connect to a range of data platforms and analytics tools, so it's a good choice for data workflow teams.

If you want a platform that can handle both AI integration and collaboration, check out Dataiku. It's got tools for data preparation, machine learning and MLOps, which is geared for teams working on AI and machine learning. Dataiku can help you safely scale AI models, but it's also got strong collaboration and governance abilities, so it's a good choice for teams that want to operationalize their data work.