KuppingerCole Report
Leadership Brief
By Anne Bailey

Distributed Decentralized AI: Create, Share, Scale, Monetize

Using artificial intelligence services in combination can offer heightened results, whether it be in accuracy, robustness, customization, or geographical spread. Distributed, decentralized AI is a dynamic research space that is rapidly producing enterprise solutions. However, there are a variety of methods, environmental drivers, and use cases associated with decentralized AI. This leadership brief deconstructs the different conceptualizations of decentralized AI and offers support to enterprises that are considering integrating these technologies.
By Anne Bailey

1 Executive Summary

Innovative and dynamic technologies require enterprises to be flexible to stay current. Distrib-uted and decentralized artificial intelligence is one ...

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2 Analysis

What is Decentralized AI?

Decentralized Artificial Intelligence (DAI) is a con-cept that is still being defined. There are two in-dependent forces t ...

The following features are often used to estab-lish DAI for Agent Interaction:

  • Secure and coordinated architecture
  • Federated Learning
  • Privac ...

The following components are often used to es-tablish DAI for Technology Democratization:

  • Democratized architecture
  • Interoperable runtime for A ...
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3 Recommendations

Clarify Enterprise Goals
If your enterprise wishes to support DAI efforts, look for alignment between the envisioned out-come of the organization and ...

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