Capitalizing on Proprietary Data: The Next Phase of AI Value Creation
The article discusses how organizations are realizing that the true value of AI lies not in the hype but in leveraging proprietary data for machine learning and AI model development. It highlights the paradox data custodians face: needing to protect sensitive data while also wanting to unlock its value for AI. The piece argues that as the initial AI hype fades, the focus shifts to capitalizing on proprietary data assets for building new applications.
Key quotes
Data is the lifeblood of artificial intelligence.
Those who produce, own, or control access to data are critical stakeholders in the present and future of AI.
These data custodians face a paradox: They must protect their organization's sensitive data, but in doing so, they act as a blocker to realizing the true value of that data in developing ML and AI models.
As the first wave of AI hype begins to fade, organizations are awakening to the realization that real value lies in leveraging their proprietary data for use by developers in building new applications.
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