AI, machine learning and innovation culture

AI, machine learning and innovation culture

Feedback on the Inetum talks at SIDO Lyon

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Inetum, the leader in digital services and solutions, took part in SIDO in Lyon on 14 and 15 September. During this major European event for IoT, Artificial Intelligence, Robotics and XR solutions and technologies for strategic innovation and operational decision-makers, Inetum experts took part in several workshops and round tables.

SIDO is the leading B2B event on the convergence of IoT, AI, robotics & XR technologies. Inetum's experts attended the event at the Cité Internationale in Lyon and spoke at various workshops and round tables.

The event was an opportunity for the Group to present and test Intraverse, Inetum's metaverse solution that allows companies and institutions to easily create immersive experiences for training, onboarding and recruitment.

Listen to the pitch by Julien Casarin, XR (eXtended Reality) Manager in Inetum's Innovation department:

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AI, machine learning and innovation culture

 
It was also an opportunity for Inetum's innovation experts to talk about AI in industrial and construction projects, innovation culture in companies, and machine learning.

Multimodal AI approach in industrial projects

In this session, Jean-Paul Muller, Global Practice Manager AI at Inetum, talks about a multimodal approach to AI to effectively address a use case. The answer he says is not a single magical AI model that can do everything, but multiple specialized models, through a process that addresses the initial problem.

He presents two real-life cases from industry, a data science project, and a computer vision project to find a solution to a problem that would be difficult to solve without this transformation:

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AI, machine learning and innovation culture –

 
Acquire, develop and embed innovation in the corporate culture

Isabelle Donato, Innovation Sales and Marketing Manager, explains how innovation is appropriated by investing in new managerial practices that promote innovation and performance as a group: collaborative projects, communities of practice, open innovation. This highly interactive session in which Corinne Felix, Director of Innovation at SNCF TER, Corinne Talotte, General Manager of La Ruche Industrielle, and Sylvain Poisson, Head of the Strategy and Innovation Management Department at AYMING took part, explores challenges and best practices in terms of collective competence, an imperative for those who want to innovate today.

Machine Learning and AI for construction

Guillaume Fortier, Computer Vision Manager, and Jean-Alix David, Innovation Engineer at Inetum, speak about BIM (Building Model Infrastructure), which has accelerated digital transition in the construction, building and architecture sectors by moving from 2D to IFC (Industry Foundation Classes).

Discover our approach to optimize the time spent on operational digitization using the main techniques and added value of machine learning to accelerate performance in the building trades.

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AI, machine learning and innovation culture

 
Get updates from our FabLab and hear what our innovation experts have to say: @FabLab by Inetum

About Inetum, Positive digital flow:

Inetum is an agile IT services company that provides digital services and solutions, and a global group that helps companies and institutions to get the most out of digital flow. In a context of perpetual movement, where needs and usages are constantly being reinvented, the Inetum group is committed towards all these players to innovate, continue to adapt, and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectoral organisation, and solutions of industrial quality. Operating in more than 27 countries, the Group has nearly 27,000 employees and in 2021 generated revenues of €2.2 billion.

For more information, contact:

Inetum Press Relations

press@inetum.com

Claudine Morel Le-Berre
VP Group Communications Director
Tel.: +33 (0)6 68 01 22 56

Marion Latapy
Group Communications Manager
Tel.: +33 (0)6 60 13 50 71

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