Question: Do you know of any AI-powered tools that can transform complex data into actionable business insights for industries like healthcare and finance?

If you need to turn raw data into business intelligence, ThoughtSpot is a good option for an AI-infused analytics tool. It lets you ask complex data questions in plain English and get answers and explanations that help you make business decisions. With search, AI-driven insights, embedded analytics, flexible data modeling, natural language queries and visualization, ThoughtSpot is good for finance, retail, health care and other businesses. It has a free trial and is designed to grow with businesses of all sizes.

Another option is Aible, an Enterprise AI tool that offers fast and secure generative AI applications. It's designed to have an impact within 30 days and is used by more than 1200 businesses around the world. Features include fast time-to-delivery, hallucination double-check and auto-improvement. Aible is good for sales, marketing, finance, health care and other areas, and offers a free trial and pricing starting at $99 per user per month.

If you want to standardize how data is used to get the best business results, Dataiku offers a full featured platform. It includes tools for generative AI application development, data preparation, machine learning, MLOps and collaboration. Dataiku is good for many industries, and you can use it to build, deploy and maintain machine learning models in a safe environment. The platform offers a free edition for up to 3 users, a 14-day free trial, and paid editions with different levels of collaboration and features.

Last, Informatica has a cloud-based, AI-infused data management tool that links, governs and unifies data across hybrid and multi-cloud environments. Its CLAIRE AI engine automates data integration tasks, with features like cloud connectivity, modern data architecture and platform trust for secure and reliable data management. Informatica is good for businesses that want to modernize their data management and make their data more AI-ready, with consumption-based pricing and low-code and no-code tools.