AI Readiness Model
AIDirections decided to develop an AI Readiness Model (AI RM), to address issues that have not or incompletely been addressed by other, existing AI Maturity Models. The typical AI Maturity Model in place to measure the maturity of an organization to successfully make use of AI. Whilst this might make sense for an already advanced organization, they assume that some elementary aspects for the successful use of AI are completely in place:
Without these cornerstones being in place, implementations of AI are likely to fail or, at least, not being optimally successful. AIDirections’ AI Readiness Model has been developed to give you a chance to determine your AI readiness. Once an organization has achieved maturity in these areas, AI projects have a higher likelihood of succeeding.
- Digital Transformation - Digital transformation refers to the changes associated with the application of digital technology in all aspects of an organization; the transformation stage means that digital usages inherently enable new types of innovation and creativity in a particular domain, rather than simply enhance and support traditional methods.
- Data Governance – Data governance is the data management of all the data which an organization has to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include availability, usability, consistency, data integrity and data security and includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality and ensuring that the data which an enterprise has can be used by the entire organization.
- AI Readiness – The AI readiness of an organization is the ability and intend to develop, establish and implement a set of processes for the success use of AI, such as managing the risks and opportunities associated with AI, achieving an AI culture and having an AI strategy.