Question: I'm looking for a solution that can connect data from multiple sources, including cloud and on-premises data, and provide AI-driven insights.

If you're looking for a platform that spans multiple sources of data and offers AI-powered insights, there are a few options. Cloudera offers a hybrid data platform that securely integrates, processes and analyzes data across cloud and on-premise environments. Its full suite of data services enables real-time insights, automated data pipelines and big data analytics, and is well-suited for financial services, manufacturing and healthcare.

Another contender is Databricks, which marries generative AI to unify data, analytics and governance. Its lakehouse architecture offers open, scalable and unified data management. Databricks supports a variety of tools and integrations, including ETL, data ingestion, business intelligence and AI applications, and offers a free trial for new users to try it out.

For a cloud-based option, Informatica integrates, manages and unifies data across multi-cloud and hybrid environments. Its CLAIRE AI engine automates data integration tasks and offers data catalog, data integration and platform trust for secure data processing. Informatica is geared for companies looking to modernize their data management.

Last, Teradata offers a cloud analytics and data platform that unifies and harmonizes data across an organization. Its VantageCloud platform supports multiple workloads, including AI/ML, lakehouses and data warehouses, and can be deployed in public cloud, hybrid cloud or on-premises environments. Teradata is designed to accelerate innovation and improve data-driven decision-making.