Once potential use cases are identified, it is essential to assess the organisation’s data maturity. AI systems rely heavily on data, both in terms of volume and quality. It is therefore critical to ensure your data systems have robust mechanisms for collecting, storing and managing data, and that these practices comply with relevant regulatory frameworks such as GDPR or HIPAA. Data governance, privacy and ethical considerations must be embedded into your strategy from the outset. This is especially critical in the MedTech sector, where patient data is highly confidential.