A Novel Methodology For Crowdsourcing AI Models in an Enterprise

TL;DR

This paper introduces a new methodology and system for organizations to crowdsource AI models via competitions, enabling easy hosting, evaluation, and integration of models into products.

Contribution

It presents a novel, easily adoptable system and process for enterprise crowdsourcing of AI models through competitions and model integration.

Findings

System enables automatic model evaluation against proprietary data

Facilitates integration of crowd-sourced models into enterprise products

Supports scalable and efficient AI model collaboration

Abstract

The evolution of AI is advancing rapidly, creating both challenges and opportunities for industry-community collaboration. In this work, we present a novel methodology aiming to facilitate this collaboration through crowdsourcing of AI models. Concretely, we have implemented a system and a process that any organization can easily adopt to host AI competitions. The system allows them to automatically harvest and evaluate the submitted models against in-house proprietary data and also to incorporate them as reusable services in a product.