# Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming   AI Models in Business Applications

**Authors:** Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian

arXiv: 1906.10418 · 2019-06-26

## TL;DR

This paper presents an approach to mitigate risks in deploying AI models in business applications by using AI techniques for monitoring and controlling model usage in production environments.

## Contribution

It introduces a novel method for managing AI model deployment risks through insights and control mechanisms tailored for enterprise settings.

## Key findings

- Enhanced monitoring of AI model usage
- Reduced deployment risks in business applications
- Framework for controlling AI model deployment

## Abstract

The stochastic nature of artificial intelligence (AI) models introduces risk to business applications that use AI models without careful consideration. This paper offers an approach to use AI techniques to gain insights on the usage of the AI models and control how they are deployed to a production application.   Keywords: artificial intelligence (AI), machine learning, microservices, business process

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Source: https://tomesphere.com/paper/1906.10418