You can't build AI in a walled garden

As vendors increasingly impose controls on data access, enterprises face the challenge of navigating these restrictions while attempting to harness AI capabilities, with the concept of a "walled garden" emerging as a significant barrier. The difficulty lies in the unification and centralization of data due to various vendor-imposed limitations such as restrictive API access, expensive pricing models, and stringent terms of service, which collectively hinder the ability to replicate and integrate data across platforms. This issue becomes more pronounced as AI demands access to diverse and expansive data sets from multiple systems to function effectively, leading to a situation where data movement and access are more complex than the technical AI solutions themselves. As a result, organizations are encouraged to prioritize Open Data Infrastructure (ODI) in their software purchasing decisions to ensure long-term innovation and control over their data, allowing them to build and analyze without constantly renegotiating access.

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