AI Consumption Platform (AICP)
The AI Consumption Platform (AICP) plays an integral role in accelerating the delivery of data/AI products at scale within Michelin. It has been designed with a service orientation, primarily focusing on empowering feature teams by offering severa
AI Consumption Platform (AICP)
The AI Consumption Platform (AICP) plays an integral role in accelerating the delivery of data/AI products at scale within Michelin. It has been designed with a service orientation, primarily focusing on empowering feature teams by offering several niche services.
Automation, monitoring, security, and user portal stand out as some of the main offerings of the platform. Furthermore, the AICP provides a standard for Application Architecture and MLOps template, allowing for streamlined industrialization and incorporation of MLOps expertise.
This platform boasts an integration of AI capability-specific components and places a strong emphasis on combining AI and advanced analytics capabilities for the products. Tools such as Dataiku, Databricks, MLFlow, Azure ML Studio, Azure Cognitive Services, and others are integrated for robust analytical functionalities. Furthermore, components like Azure Open AI D2/D3 and GPU meet the computation needs while adhering to high standards of storage 1.
As part of its design, AICP seamlessly integrates with Michelin's existing systems and components like the Corporate Datalake, ULTIM, Manufacturing 4.0, ApiGee, DevOps, and Michelin Kubernetes Service among others. This deep integration into Michelin’s foundations is a testament to the platform's harmonious engagement with existing systems 1.
Beyond its technical features, the AICP platform caters to a diverse range of user personas, such as data scientists, citizen data scientists, data/ML engineers, business stakeholders, and people new to the AI world. These personas can benefit greatly from AICP, from gaining hands-on experience with AI to industrializing ML projects 1.
Also worth noting is the extensive adoption of this centralized AI platform across various Michelin subsidiaries and regions including North America and Europe. This global reach underscores the platform's significance within the Michelin ecosystem.
In conclusion, AICP stands firm at the intersection of advanced technology and a user-centric approach, setting the stage for a transformational shift in the delivery of data services and products at Michelin.
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