What We Do

We develop large-scale unified data marketplaces and fabrics that automate the curation and management of digital assets. Our cloud-ready frameworks and guiding principles for data engineering enable users across the enterprise to search, distribute and consume high-quality, meaningful information as/when needed.

Data Productization

Create a storefront where enterprise data assets meet data consumers in one cloud platform. Empower every department and team to discover, share, and collaborate. Make it easy to browse for high-quality data and promote or “merchandise” data.

Enterprise Data Integration

Collect and combine fragmented data. Create accurate, consistent, trusted information. Leverage data assets across the enterprise. Drive better business decisions. Dramatically lower cost, boost agility, reduce risks, and scale to meet business demands.

Intelligent Data Management

Ensure your teams are working with data across lines of business and that IT can quickly deploy quality data for all workloads from real-time, web services, batch, and big data. Use AI to enable intelligent recommendations and automate critical tasks.

           

A Guide to Data Management Strategies for AI

In this whitepaper, you’ll discover why your data foundation is the critical factor determining the success or failure of your AI initiatives. This essential guide provides a comprehensive approach to assessing your current data landscape and preparing it to fuel game-changing AI applications across your enterprise.

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