English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The comprehension and adoption of Artificial Intelligence (AI) are beset withpractical and ethical problems. This article presents a 5-level AI CapabilityAssessment Model (AI-CAM) and a related AI Capabilities Matrix (AI-CM) toassist practitioners in AI comprehension and adoption. These practical toolswere developed with business executives, technologists, and otherorganisational stakeholders in mind. They are founded on a comprehensiveconception of AI compared to those in other AI adoption models and are alsoopen-source artefacts. Thus, the AI-CAM and AI-CM present an accessibleresource to help inform organisational decision-makers on the capabilityrequirements for (1) AI-based data analytics use cases based on machinelearning technologies; (2) Knowledge representation to engineer and representdata, information and knowledge using semantic technologies; and (3) AI-basedsolutions that seek to emulate human reasoning and decision-making. The AI-CAMcovers the core capability dimensions (business, data, technology,organisation, AI skills, risks, and ethical considerations) required at thefive capability maturity levels to achieve optimal use of AI in organisations.

Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations