QSE and AI Initiatives: Opportunities and Real-World Applications

Artificial Intelligence is generating a lot of interest… but also a lot of misconceptions.
In the field of quality, safety, and environment (QSE), its adoption is still hindered by several factors: insufficient data maturity, fear of losing control, regulatory constraints, difficulties in identifying the right use cases, and resistance to change among teams.

Come discover how AI can help QSE teams, with the support of a structured methodology and concrete examples.

Because these technologies also raise critical questions, we will discuss the limitations, risks, ethical considerations, and best practices essential for deploying AI that is reliable, secure, and tailored to real-world constraints.

On the agenda:

How can AI help you with: 

• Save time on analysis, reporting, or investigations,
• Strengthen prevention, risk detection, and compliance monitoring,
• Ensure the reliability of data, indicators, and decision-making,
• Improve operational efficiency and process performance.

Our goal: to provide you with a clear, practical, and immediately actionable overview of AI within the QSE framework, whether you work for a large corporation or an SME.

Our speakers will share real-world use cases from projects they have carried out with their clients, which have demonstrated tangible benefits. 

• Mickael SOUQUIERE, CoE & Solution Lead | Compliance, Quality & Regulatory, Capgemini Engineering
• Other speakers to be confirmed

Participation is free, but registration is required.
Date:
May 19, from 5:00 p.m. to 7:00 p.m.