This tool will measure your organisation across the key capabilities required for delivering AI at scale. The output of this assessment is designed to equip marketing and technology leaders with an understanding of where they fall in terms of maturity, with content recommendations to help get them to the next level of their journey.
Credera’s online AI Maturity Health Assessment provides leaders a quick and easy way to evaluate their AI maturity against key areas of success necessary to win in the AI space, including:
Technology
Measures your ability to build and deploy AI tools into your technology stack supported by enabling infrastructure.
Data
Measures the readiness of your proprietary data to be consumed by AI applications and the privacy and bias guardrails that protect it.
Delivery
Measures your ability to progressively release value through AI, monitor and handle delivery risks such as prompt injections, denial of service, and data leakage.
Talent
Measures your ability to attract, recruit, and retain technical and non-technical staff to support your AI ambition.
Adoption and Scale
Measures the ability of your organisation to absorb and use new AI capabilities.
Strategy
Measures the clarity of the role that AI plays within your business strategy.
Why assess your AI maturity?
It is important to ensure your AI roadmap is scalable and sustainable in the long-term, as this technology will continue to develop at pace.
Credera’s Global AI Council on the importance of assessing your AI maturity
JoAnn Stonier, Chief Data Officer of MasterCard, feels that assessing AI maturity in an organisation enables exploration of innovation opportunities, as well as an evaluation of the associated risks with AI adoption. This enables organisations to develop a holistic picture of the opportunities in front of them, all while comparing the benefits against the related risks.
Trisha Meyer, a professor of digital governance at the Brussels School of Governance, says an AI maturity assessment serves as the foundational step in AI strategy development, helping to clarify end goals and identify what existing gaps to address. Additionally, an assessment can offer insights into the organisation's current capacity, enabling informed decisions on leveraging existing resources for further advancement in AI integration.
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