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How does the matrix ...

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How does the matrix work against tunnel vision in AI readiness?

The matrix works against tunnel vision in AI readiness by providing a comprehensive view of both internal and external factors that can impact AI ambitions. It prevents teams from solely focusing on enhancing internal capabilities, which may lead to overlooking external forces that can accelerate or derail AI ambitions. By considering both internal supply conditions and macro demand, the matrix ensures a balanced and holistic approach towards AI readiness.

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No contextual analysis is complete without a scan of the external forces that can accelerate or derail AI ambitions. Unlike previous tools in this section, which primarily interrogate internal capability, we now overlay macro demand with internal supply conditions. The matrix works against tunnel vision, as it prevents teams from assuming that boosting internal capability alone guarantees success.

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AI Readiness (Part 1) Presentation preview
Presentation
22 Slides
1 Format

Preview (22 Slides)

Title Slide preview
Table of Contents Slide preview
AI Maturity Slide preview
Impact Vs. Readiness Gap Analysis Slide preview
AI Readiness Drivers and Inhibitors Slide preview
AI Priority Shifts Slide preview
AI Readiness Index Slide preview
AI Readiness Assessment Slide preview
AI Readiness Model Slide preview
Intel AI Readiness Model Slide preview
Intel AI Readiness Model Slide preview
Intel AI Readiness Model Slide preview
AI Readiness Ecosystem Slide preview
Capability-Readiness Interdependency Slide preview
Capacity Constraints Slide preview
Resource Allocation: Invest for Target Readiness Slide preview
Investment Outcome: Payback and ROI Slide preview
Impact on AI Readiness Slide preview
Initiative Portfolio Matrix Slide preview
AI Readiness Progress Measurement Slide preview
Readiness Development Roadmap Slide preview
Ownership Map: RACI Table Slide preview

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