Mark Rostick

Across industries, the role of AI in the enterprise has evolved from experimentation to transformation. AI is no longer a discrete capability. For leading enterprises and those seeking a competitive edge, it has become a core part of how they operate, compete, and grow. At Intel Capital, we see this evolution up close.

Intel Capital’s edition of the InTechnology podcast spotlights investors and leaders from the Intel Capital portfolio and their game-changing technologies. These conversations explore the key areas of technology Intel Capital invests in and the companies shaping the future of compute.

Data is a key pillar for performance in machine learning and generative AI (GenAI) models, but making the vast troves of data usable by these models is a non-trivial task. As GenAI models continue to explode in size, the data needed to train, evaluate, and fine-tune these models for specific use cases will also grow exponentially. This need will be exacerbated by the nature of images, videos, audio, and other complex multi-modal datasets.