Rein Mertens
Head of Customer Advisory SAS Platform
The latest wave of (Generative) Artificial Intelligence (Gen)AI developments has reignited mainstream interest in data science and analytics. Beyond the ‘coolness’ of what a (Gen)AI model can do in the data science lab, their true value lies in embedding trustworthy insights into business processes—driving better performance and enhancing services for customers and citizens.
The discovery and deployment processes for developing trustworthy AI applications require a collaborative effort across multiple roles, including data engineers, data scientists, machine learning engineers, business leaders, and IT professionals. With evolving legislation, legal experts such as privacy officers and AI compliance officers are also playing an increasingly vital role.
In addition to human interaction and collaboration, effectively working with (Gen)AI demands a transparent and trustworthy understanding of data, models, and fairness—especially regarding potential biases.
As an expert at the intersection of data management, governance & privacy, analytics and trustworthy AI, Rein advises organizations on how to maximize value from analytical / (Gen)AI use cases. Based on 25 years of real-world experience, Rein provides guidance from organizational, human, and architectural perspectives. Corporate social responsibility is now a key part of these discussions: 'Technically we can do this, legally we can do this, but do we think this is ethically right?
