AI and MLOps transformation at scale

Société Générale

Artificial intelligence Banking & Financial Services

Publié le 08 février 2024

Context

Société Générale, aiming to strengthen its AI teams within the Global Technology Services scope, sought ANEO's expertise to introduce new methodologies and oversee IAML projects, integrating MLOps best practices. The goal was to establish a sustainable dynamic promoting the adoption of industrialization best practices to optimize team operations and project success.

Achievements and Results

ANEO conducted in-depth analyses and impact studies in collaboration with Société Générale's business units. Functional specifications were developed in close collaboration with business teams. ANEO also played a key role in project decision-making, development monitoring, production support, and training business teams.

A significant transformation in AI development work methods was achieved. This approach aligns with a continuous improvement process for processes, tools, and skill development within teams.

Project Keys

Implementation of effective methods and tools maximized collaboration and operational efficiency.
Major projects included implementing predictive maintenance for internal cloud services and automating CI/CD/CT chains in an MLOps approach.
ANEO successfully led nearly 10 projects simultaneously, each at different maturity stages.

Les plus

Successful cultural transformation: ANEO contributed to a significant shift in AI development work methods, fostering a culture of continuous improvement in processes, tools, and skills.
IAML project management: Handling over 10 simultaneous projects, ensuring consistent progress toward set objectives.
MLOps implementation: Setting up CI/CD/CT chain automation to ensure MLOps adherence to the targeted maturity level.

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AI and MLOps transformation at scale

Context

Achievements and Results

Project Keys

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