Better Intelligence is Collective: Unlocking the Potential of AI with Federated Learning 

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

Many industries including banking and financial services, healthcare, mobile applications, autonomous vehicles can benefit from Federated Learning.

Centralized agencies are best placed to drive adoption of Federated Learning in ASEAN.

Modular technologies can help scale collective intelligence.

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