Summary
Today, organizations must equip themselves with high-performance solutions to manage, secure and optimize all aspects of their AI systems. As artificial intelligence management systems, AIMS help to ensure the safe, responsible and ethical use of AI within the organization.
Predictive analytics, chatbots and virtual assistants, fraud pattern identification or inventory management… Involved in the transformation of all sectors, artificial intelligence (AI) offers considerable opportunities for innovation, operational efficiency and customer experience optimization. But the complexity, challenges and risks of this technology also mean that safeguards need to be put in place…
Today, organizations must equip themselves with high-performance solutions to manage, secure and optimize all aspects of their AI systems. As artificial intelligence management systems, AIMS help to ensure the safe, responsible and ethical use of AI within the organization.
AIMS, necessary tools for AI systems governance
An AIMS® (« Artificial Intelligence Management System ») is a solution developed to simplify the governance and management of artificial intelligence within an organization.
Why AI governance?
Artificial intelligence is now penetrating nearly every sector. IT managers agree: it will be difficult to operate without AI in the coming years. So to take advantage of the full potential of this booming technology, it’s now critical to implement genuine AI governance within each organization.
Data security and compliance, privacy & confidentiality, algorithmic biases, reputational or financial damage… Faced with the risks and complexity of artificial intelligence, organizations must be able to guarantee the transparency, ethics and accountability of their AI systems. And the recent vote of the AI Act also requires companies to implement an operational governance model for the compliance of their AI systems.
Tailored to organizational needs and priorities, AI governance ensures effective use of machine learning. It aids in risk management and regulatory compliance. It enhances the quality and safety of AI systems while reducing associated risks.
How to implement it?
Setting up AI governance within an organization can involve several stages:
- training teams: after assembling a team dedicated to AI governance, the organization must involve and train all levels of the organization. The various teams must fully understand and master the implications and challenges of the AI systems deployed;
- preparing a general framework, and rules and procedures applicable to AI projects: documentation and transparency of AI systems, data processing policy, definition of needs and objectives, setting up an ethical and legal framework… This involves establishing the AI governance model within the organization, and defining roles and responsibilities ;
- deployment of assessment, monitoring and forecasting tools: verification of data quality, accuracy and security, validation and testing of models, handling of potential biases, audits… The organization must identify the risks to be controlled, and prioritize their treatment.
Setting up an AIMS equips the project team with essential tools for effective governance and management of AI systems.
AIMS, artificial intelligence management systems
An AIMS enables you to steer, govern and optimize AI systems deployed within your organization, while reducing operational costs and associated risks. It offers several functionalities, in the form of a centralized tool.
What is an AIMS used for?
AIMS is designed to optimize the governance and management of AI systems within an organization. Depending on their core business, they can enable organizations to :
- Define and facilitate AI governance: Optimize deployment and maintenance of AI models, foster team collaboration, and gain insights through dynamic AIS reports.
- Manage data quality and security: Ensure regulatory compliance, guarantee accountability and transparency of AI systems, and address AI-related risks.
- Reduce operational costs: Automate management tasks and optimize resource use to improve project investment returns.
An « one stop shop » tool, an AIMS plays a critical role in assessing and controlling AI-related risks. It enables the organization to use AI to its full potential, and maintain a real competitive edge in an ever-changing environment.
What are the functionalities of this type of solution?
AIMS automates AI-related management tasks thanks to advanced tools and a centralized system. It can integrate various governance and compliance functionalities for AI systems.
First AIMS® on the European market, Naaia is a SaaS solution for the governance and management of artificial intelligence systems. From research and development to deployment and marketing, this comprehensive, interoperable solution offers full support at all key stages of the AIS lifecycle and for all stakeholders. The goal is to accelerate control, management, and compliance of your AI systems, turning regulatory constraints into strategic business opportunities.
With a unique vision of an end-to-end platform, Naaia offers several features. In addition to advanced legal expertise, AIMS supports you through major features:
- Inventory, to build a repository of your AI systems;
- Qualification, to define and qualify your AI systems
- Action Plan: Helps you implement actions to achieve compliance with standards, especially the AI Act, and supervise their lifecycle.
- AI Vigilance: Assists in implementing best practices for AI governance, managing risks, addressing malfunctions, and adapting strategy.
- Learning, to support your teams in acquiring new skills and tools to support AI.
Salesforce, Azure, Amazon SageMaker, GitHug, Hugging Face, Slack… Naaia solution can be connected through API with almost any solution in the market. Contact our teams to find out more.