AI is an extension of software that grants access to new capabilities and accelerates the rate at which software proliferates. The value in the AI technology stack includes proprietary and open source models, data, and machine learning operations. Fine-tuned custom models can be a differentiator in the application layer.
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5) Maps and Landscapes of AI Technology and Value Stacks6) Enterprises: Plan Not for One, but Thousands of AI Touchpoints in Your Systems7) Account for the Many Descendants and Iterations of a Foundation Model8) Model Usage Datasets Allow Collective Exploration of a Model’s Generative SpacePockets of Moats for Application Layer PlayersSort: