Question: Is there a solution that helps overcome silos by linking enterprise data on a single referential framework and enables collaboration across the enterprise?

If you're looking for a way to span data silos and bring enterprise data onto a single foundation, Informatica has a cloud-based platform using AI to connect, manage and unify data across multi-cloud and hybrid environments. It includes data catalog, integration and data quality management tools. That can help you modernize your data management and make your data ready for AI.

Another major contender is Cloudera, which offers a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premise environments. It can consolidate data from many sources into a single trusted system for insights and AI model training, and it supports real-time analytics, automated pipelines and large-scale data processing. The platform can help you break down data silos and run your business more efficiently.

Collibra is another contender, specializing in data management and governance with tools like AI Governance, Data Catalog and Data Quality & Observability. It automates data processes and gives you a single view of data assets, so you can work more efficiently and comply with regulations. Collibra is highly scalable and flexible, so you can use it for a variety of use cases like data analytics and AI model training.

If you want a more integrated data management and AI foundation, Databricks offers a platform that marries generative AI with data intelligence and governance. It supports a wide range of tools and integrates with many other products, so insights are democratized and operations are economical through its lakehouse architecture. It's designed for many different types of users, and you can try it out with a free trial if you're a new customer.