One top platform is DataGPT, a conversational AI data analyst that's good at giving you quick, analyst-level answers to your questions. It can be integrated with data sources like Bigquery and offers features like automated insights, context awareness and a data navigator for exploration. It's good for things like segment checking, anomaly detection and comparison analysis, and it's a good way to get some work done in your business without breaking the bank.
Another AI-native analytics platform is Athena. It can operate in co-pilot and auto-pilot modes, learning how you work and taking actions on your behalf. It's geared for collaborative data analysis and can be easily integrated with Enterprise Data Warehouses. With features like SQL and Python support, customizable reports and workflow automation, Athena makes data analysis accessible to anyone in your organization, helping to drive better decision-making across the enterprise.
If you want a broader AI development platform, check out Dataloop. It combines data curation, model management, pipeline orchestration and human feedback integration to support AI application development. The platform speeds up development by a factor of 20, cuts time spent on tasks by 70% and has strong security. It's good for improving collaboration and speeding up development work across different roles in your organization.