Question: I'm looking for a way to automate data queries and analysis while ensuring data privacy and security, do you know of any solutions?

If you're looking for a way to automate data queries and analysis while protecting data privacy and security, Defog is a top pick. This natural language data query platform uses fine-tuned AI models to query your data on your own servers, providing both results and privacy. Defog connects to big SQL databases and data warehouses, supports statistical modeling, and has an extensible interface for data visualization. With on-prem options and row-level access control, it's geared for enterprises with serious data security requirements.

Another top pick is ClearGPT, an enterprise-focused AI platform that uses generative models like ChatGPT. It's designed to overcome security, performance, cost and data governance challenges, with no data leakage and maximum control over corporate intellectual property. It's got role-based access controls, continuously fresh data and a human-in-the-loop feedback loop to help AI systems improve performance and flexibility. ClearGPT runs on a private network, so it's good for companies that want to automate and improve their data-science operations without security worries.

If you're looking for a suite of tools to build AI, Dataloop could be a good fit. The platform lets you curate data, manage models, orchestrate pipelines and gather human feedback to speed up AI application development. With strong security controls and integration with popular cloud services, Dataloop ensures high-quality and secure AI applications. It's designed to facilitate collaboration and accelerate development, so it's a good fit for a variety of roles within an organization.