Question: Can you recommend a platform that combines data and AI to provide natural language insights and automated model deployment?

If you're looking for a platform that marries data and AI for natural language insights and automated model deployment, Databricks is a good choice. It brings AI-infused data intelligence with natural language abilities so you can build, deploy and run AI applications directly against your data. The platform is based on lakehouse architecture for unified data management and supports a broad range of tools and integrations, including ETL, data ingestion, business intelligence and governance.

Another good option is Dataloop, which speeds up AI application development with tools like data curation, model management, pipeline orchestration and human feedback integration. It can handle a variety of unstructured data types and has strong security controls that meet major standards. Dataloop is designed to help teams collaborate and get work done faster, with a full suite of tools and integrations with popular cloud platforms.

DataRobot AI Platform is another top contender, with the ability to bring generative and predictive workflows together for fast deployment and governance of AI models. It's a Gartner Magic Quadrant leader for data science and machine learning platforms, with features like enterprise monitoring and control, rapid innovation and deep ecosystem integration. The platform is designed to accelerate AI projects with a flexible ecosystem and strong governance.

For those who want to bring AI to more mainstream applications, Dataiku offers a range of features including Generative AI application development, data preparation, machine learning and MLOps. It offers customized solutions for different teams and industries, so users can build, deploy and maintain machine learning models securely and at scale. Dataiku offers a free edition for up to 3 users and a 14-day free trial, so it's available for a variety of needs and budgets.