The Vision
To unlock AI's true potential means generating better intelligence to improve outcomes. Better intelligence is the result of real-time, cross-collaborative exchange and sharing among multiple parties.
The Problem
Organizations struggle with data silos, inconsistent data modalities, and integration issues, complicating data analysis and decision-making. Data breaches and cyberattacks pose severe risks, limiting data sharing and collaboration among industry players. These issues multiply further within a connected digital supply chain.
The Opportunity
We need models that can learn in real time. There is also an unprecedented opportunity to build a community of knowledge for a variety of use cases today. Federated Learning can create a collective intelligence system, that draws upon real-time, privacy-preserved intelligence from diverse participants.
Key Findings
