Data & AI: innovation, risks, privacy

The first module is open to all without prerequisites and serves as the natural entry point to the program. The second and third modules require having previously completed the first one. The fourth module is only offered as part of the full CAS program, allowing participants to get the most out of it.

The program helps you identify the main risks associated with data and AI: reputational, compliance, and organizational. You learn to structure a responsible approach from the very design phase of your projects. This foresight strengthens the robustness and credibility of your initiatives.

The module clarifies the major regulatory frameworks and their practical implications. You understand the requirements around data protection and compliance. This understanding supports safer decision-making.

You explore the principles of ethics and transparency as applied to AI. The program helps you implement practices that promote accountability and traceability. This approach builds trust with customers and partners.

You work on the risks related to data collection, sharing, and usage. The module gives you reference points for protecting sensitive information. This vigilance limits breaches and penalties.

Yes. The program shows how to reconcile innovation and compliance. You learn to integrate data protection into the design phase of your projects. This integration makes innovation more sustainable.

You analyze the challenges of data sharing within business ecosystems. The module offers approaches for managing these exchanges responsibly. This structure reduces risk while fostering collaboration.

The program explores their potential for creating new use cases. You also understand the specific confidentiality challenges they present. This dual perspective helps you leverage these data sources with discernment.