Question: Can you recommend a platform that provides insights into data at scale across my network, security, and applications?

Databricks is a powerful data intelligence platform that marries generative AI with data analytics and governance. It's got a broad set of tools and integrations for ETL, data ingestion and business intelligence, all built on a lakehouse architecture for scalable and integrated data management. That makes it a good choice for customers who want to build, deploy and run AI applications right on their own data while keeping control and privacy.

Another good choice is Cloudera, a hybrid data platform designed to securely ingest, process and analyze data in the cloud and on-premises. With a wide range of data services, it can be used for real-time insights, automated data pipelines and large-scale data analytics, and is a good fit for financial services, manufacturing and health care customers who want to optimize business operations and make better decisions.

For customers who want a flexible and scalable option, Teradata offers a cloud analytics and data platform that can handle multiple workloads including AI/ML, lakehouses and data warehouses. Its flagship product, ClearScape Analytics, provides a single view of an organization's data and faster answers, and can be deployed in public cloud, hybrid cloud and on-premises environments.

Last, Informatica offers a cloud-based, AI-powered data management platform that integrates and unifies data across multi-cloud and hybrid environments. With tools like CLAIRE AI for automated data integration and a data marketplace, it's a good fit for customers trying to modernize their data management and make their data AI-ready.