Question: Can you recommend a cloud-based platform that integrates AI and machine learning for better business decision-making?

If you're looking for a cloud-based platform that marries AI and machine learning for business decision-making, Databricks is a strong contender. This data intelligence platform, which incorporates generative AI to link data, analytics and governance, can be run affordably with a single approach and supports a broad range of tools and integration, making it accessible to a broad range of users. With support, training and community involvement, Databricks is a powerful option for building, deploying and running AI applications directly against your data while maintaining control and privacy.

Another strong contender is ThoughtSpot, an AI-infused analytics platform. It lets people ask complex data questions in natural language and get answers immediately, helping them make better business decisions. ThoughtSpot is geared for business teams and product builders, with search and AI-driven insights, flexible data modeling, visualization and governance controls. It's designed to scale across many industries, so it's a good option for data-driven decision making.

If you want a platform that makes AI accessible for everyday use, Dataiku is a good option. It's got a broad range of features to support data projects, including machine learning, MLOps, data preparation and generative AI application development. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms and offers a free edition for up to three users and a 14-day free trial. It's good for teams that want to build, deploy and maintain machine learning models securely and efficiently.

Last, DataRobot AI Platform is a powerful option for rapidly developing and deploying AI solutions. It combines generative and predictive workflows, with enterprise monitoring and control, full visibility and rapid innovation. Backed by deep ecosystem integration with multiple cloud environments, DataRobot delivers real results, including faster deployment and higher analytics productivity. It's good for a broad range of industries and use cases, with flexibility and enterprise-grade governance.