Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

A recent survey by Gartner, Inc. indicates that organisations with high AI maturity are significantly more successful at ...

My recent journey along the Nile River in Egypt sparked an unexpected professional revelation. Standing on the deck of a ...

Conducted in late 2024 among 432 participants across six countries, the survey leveraged Gartner's AI Maturity Model to assess organizational ... The survey also identified data availability and ...

Deloitte announced the launch of its Human Capital AI solution suite, featuring Workforce Analyzer and Workforce Planner+. These tools are designed to help organizations assess the impact of AI on ...

As accountable care organizations’ (ACOs) maturity increased, hospitals participating in CMS ACOs were making progress toward enhanced performance but required more time to improve cost and ...

Integrating key performance indicators (KPIs) with a data quality maturity model enables organizations to assess and enhance their data management practices systematically.

A data maturity model outlines the stages an organization progresses through in managing data effectively. It provides a roadmap to improve data quality, accessibility and governance — all of which ...