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Olivier Penel
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Advisory Business Solutions Manager

With a long-lasting (and quite obsessive) passion for data, Olivier Penel strives to help organizations make the most of data, comply with data-driven regulations, fuel innovation with analytics, and create value from their most valuable asset: data. As a global leader at SAS for everything data management and privacy-related, Penel enjoys providing strategic guidance, and sharing best practices and experiences in using data governance and analytics as a catalyst for digital transformation.

Advanced Analytics | Analytics | Artificial Intelligence | Data Management
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The 5 characteristics of a future-fit, data-driven organisation

Change is the only constant, and it doesn’t happen overnight. This is particularly true in the world of data analytics. As organizations are looking to become more digital, resilient and profitable, executives are going back to the whiteboard to reconsider how they’re using data and analytics to transform their business.

Analytics
Olivier Penel 0
How to Get Started With Responsible AI

In my previous article, “The Vital Ingredients of Responsible AI,” I described the principles that underpin the need to develop AI systems that factor in the human factor, not only contribute to business outcomes but also protect individuals, society and the environment. While it’s difficult to argue with those principles,

Olivier Penel 0
The vital ingredients of responsible AI

In my previous article, “The Business Imperative for Responsible AI," I covered the main business drivers for responsible AI. Beyond the greater good and social responsibility, responsible AI is emerging as a key factor for successful AI adoption. In this article, I will describe the main ingredients of responsible AI:

Data Management | SAS Events
Olivier Penel 1
Will Privacy Kill Innovation?

It’s a race - on one side: fast moving technologies, new business practices, new digital behaviours, the democratisation of analytics and the massive adoption of artificial intelligence (AI) and machine learning technologies. On the other side: the fundamental right of individuals to protect their privacy. On one side: what we