Unlock your data for AI

As companies look to harness the potential of AI, they need to use data from diverse sources, support best-in-class tools and frameworks, and run models across a variety of environments. However, according to IDC, 1/3 of business leaders’ time is spent on data integration and data preparation¹ requirements for AI.

The vast majority of AI failures are due to failures in data collection and organization, not the AI models themselves. Simply put, there is no AI without an information architecture (IA).

With an information architecture designed for AI, businesses can eliminate data silos, automate and govern the data and AI lifecycle, and run anywhere with agility — ultimately resulting in the ability to operationalize AI with trust and transparency.

Schedule a one-on-one consultation with experts who have worked with thousands of clients to build winning data, analytics and AI strategies.