How are you developing the data literacy of your organisation, including the skills of your data teams and of your business stakeholders?
Setting enterprise data and AI standards, as well as provisioning data and AI tooling that is compliant by design will only take you so far: awareness, change management, and training are critical elements of our mission. Typically, we have focused on the data and AI specialists creating or partnering on role-based and platform-based training and certification programmes. The main challenge has been the rapid recruitment over the last 5-10 years of data scientists, engineers, and analysts (as the company embraced digital transformations), all with their favourite data and AI technologies, methodologies, and variable understanding of working with data in a global organisation. This has required us to develop clear preferred architectural approaches and guard rails for data and AI activities and reinforcing with tailored training programmes.
However, it is increasingly clear that we are moving to a position where many roles in the company are evolving into knowledge workers, processing and handling data requiring a different form of training, with particular focus on mitigating the risks associated with data mishandling. To support this, we are implementing a comprehensive Enterprise Data and AI Risk Management Framework to safeguard our data practices. By enhancing data literacy skills, we are creating a data-aware culture that integrates data awareness, education, and adoption into our daily operations.
A significant part of our mission is bringing data skills to every corner of the organisation. We are keen on making sure that everyone understands how we work and operate with data. This involves ensuring people have the tools and understanding needed to engage effectively with data, regardless of their role. Through education and training, we are promoting a more holistic understanding and use of data across the organisation.
