LGAIMar 22, 2021

A Novel Methodology For Crowdsourcing AI Models in an Enterprise

arXiv:2103.14033v1
AI Analysis

This addresses the problem of facilitating AI model development and integration for enterprises, though it appears incremental as it builds on existing crowdsourcing and competition concepts.

The paper tackles the challenge of industry-community collaboration in AI by presenting a methodology for crowdsourcing AI models, resulting in a system that enables organizations to host competitions, automatically evaluate models on proprietary data, and integrate them as reusable services.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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