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Peter Billiaert

Strategic AI for the executive - sector specific: automotive, high-tech, software, pharma and construction.

I am a CIO with extensive experience across the automotive, high-tech, software, pharmaceutical, and construction sectors. I was originally trained as a software engineer and subsequently completed an MBA at the Open University in London. In a rapidly evolving IT and technology landscape, continuous learning is essential. Some of the certifications and programs that are particularly relevant in the AI context include: a Certificate in the Strategic Implementation of AI (MIT, 2025); a Data Science Certification (IBM, 2020); the CGEIT certification (Certified in the Governance of Enterprise IT) from ISACA (2021), with a focus on governance, risk, and security. 

Based on a long career at senior management level, including fifteen years as a CIO, my core strength lies in the strategic implementation of AI solutions. In practice, this involves supporting organizations with:

  • identifying relevant and achievable AI objectives, taking into account the current strengths and limitations of existing AI models;
  • assessing the maturity of the organization as a whole, or of specific processes, in view of meaningful AI adoption;
  • evaluating the availability of critical enabling factors, in particular data readiness, as well as the organization’s openness to change and the human–machine interaction.
  • My ultimate objective is to guide companies toward sound, sustainable, and profitable AI initiatives.

In this context, the focus is explicitly on business value, rather than isolated productivity gains. I support organizations in making informed strategic choices to leverage the impact of generative AI across the value chain and to build a durable competitive advantage through technology.

My expertise

Based on a long career at senior management level, including fifteen years as a CIO, my core strength lies in the strategic implementation of AI solutions. In practice, this involves supporting organizations with:

identifying relevant and achievable AI objectives, taking into account the current strengths and limitations of existing AI models;

assessing the maturity of the organization as a whole, or of specific processes, in view of meaningful AI adoption;

evaluating the availability of critical enabling factors, in particular data readiness, as well as the organization’s openness to change and the human–machine interaction.

My ultimate objective is to guide companies toward sound, sustainable, and profitable AI initiatives.

In this context, the focus is explicitly on business value, rather than isolated productivity gains. I support organizations in making informed strategic choices to leverage the impact of generative AI across the value chain and to build a durable competitive advantage through technology.

Domain/sector

  • Business & management
  • Human resources (HR)
  • Computer Science & IT

Organisation

Personal info

My knowledge level is: Intermediate