Question: I want a solution that can integrate with my private cloud instance and provide augmented analytics and data engineering capabilities, do you have any options?

If you need something that works with your private cloud setup and offers augmented analytics and data engineering abilities, Aible is worth a look. Aible is an Enterprise AI solution that lets you build custom generative AI applications in minutes in your private cloud environment. It offers fast setup, secure data access and a broad range of features like analytics, sales optimization and content generation. It's designed to be easy to use, so business teams can use it even without deep technical expertise.

Another top contender is DataRobot AI Platform. The platform combines generative and predictive workflows so you can rapidly create and deploy AI models. It has strong governance and monitoring, and it can be integrated with many cloud environments and systems. DataRobot is a Gartner Magic Quadrant leader for data science and machine learning platforms, and it has resources and support to help you get your AI projects up and running faster.

Dataiku is another option worth considering. It's designed to make AI accessible for everyday use, covering many parts of data projects like data preparation, machine learning, MLOps and collaboration. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms and has customized solutions for different teams and industries. It has tools to build, deploy and operate machine learning models, and it has controls to ensure safe scaling with oversight.

Last, Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in cloud and on-premise environments. The platform supports a wide range of data services, including ingest, prepare, analyze, predict and publish. Cloudera is used in many industries to improve business operations, customer experience and decision making through AI model training and large-scale data analytics.