Originally from Paris, I found myself settling between France and Mexico, with my luggage in tow. In my last 25 years of working experience,  I developed a solid multi-cultural expertise in operational, managerial, marketing, and sales management in the hospitality industry , social entrepreneurship and AI-driven business solutions. My journey has led me to deeply understand the intersection of data management, AI, and business strategy, using data not just to solve problems but to implement AI solutions that are ethical, secure, and aligned with your business’s goals.

I use advanced data analysis and AI governance principles to drive decision-making that minimizes risks while ensuring long-term business success. I transform business challenges into solutions and provide new opportunities for more effective decision-making. This contributes to the company adjusting its strategies and achieving its long-term objectives, generating benefits in both savings and productivity as well as organizational improvements through responsible, transparent AI applications, in both quantitative and qualitative aspects.

I believe in integrating the human factor in all aspects of decision-making, ensuring that AI-driven transformations are beneficial for both the organization and its people. I also promote social impact through responsible AI use, ensuring that these innovations align with broader societal and environmental goals.

Ethics and Fairness
I focus on ensuring that from conception, algorythms are fair, avoiding bias and discrimination by using diverse and representative data. My goal is to ensure that AI benefits all stakeholders without causing harm to specific groups.

Accountability and Responsibility
Clear accountability is essential. I help organizations define roles and responsibilities, ensuring transparency in AI decisions and providing human oversight where necessary.

Transparency and Explainability
I understand that due to their nature based on neural network and deep learning approach, AI systems are sometimes hard to interpret. I emphasize making AI decision-making processes clear and explainable, so stakeholders can trust the outcomes and actions of these systems.

Privacy and Data Protection
I prioritize data protection and privacy, ensuring compliance with laws such as EU GDPR and using privacy-preserving techniques to protect user data and build trust.

Security & Safety
The security and safety of AI systems is paramount. With my knowledge in cybersecurity, I advise on how AI solutions can be resilient against attacks and that they maintain the integrity of the data and decisions they make. Adversarial machine learning is key for the success and continuity of AI systems. 

Sustainability and Environmental Impact
I integrate sustainability into AI projects by promoting energy-efficient practices and ensuring that AI deployments contribute positively to environmental goals.

Human-Centered Design and Social Impact
My projects are designed with people at the center, focusing on accessibility, inclusivity, and social good. I aim to use AI to solve global challenges as environmental sustainability.

Legal and Regulatory Compliance
I help organizations navigate the complex regulatory landscape, ensuring AI systems comply with existing laws while contributing to the creation of new, adaptive regulations as needed.

Collaboration and Stakeholder Engagement
Effective AI governance requires collaboration. I network with diverse international stakeholders to ensure AI technologies are developed and implemented responsibly, fostering positive societal impacts.