AI governance and clear roadmap lacking across enterprise adoption

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AI governance and clear roadmap lacking across enterprise adoption

Organizations are rapidly adopting AI tools, yet most lack the metrics to assess their investment returns. According to IBM's AI Readiness Barometer Study, only 17% of companies have a well-defined AI strategy, while many are still developing theirs. The study highlights that 43% of companies adopted AI due to the increasing availability of AI-powered applications.

Despite recognizing AI's potential, only 22% of businesses measure its value, indicating a significant gap in ROI metrics. The study categorizes organizations into five stages of AI readiness, revealing that many overestimate their capabilities. Effective AI governance and a robust data strategy are essential for successful implementation and long-term benefits.

• Only 17% of companies have a well-defined AI strategy.

• 85% acknowledge AI's power, but only 22% measure its value.

Key AI Terms Mentioned in this Article

AI Readiness

The study assesses organizations' readiness across various criteria, revealing a significant gap between perceived and actual readiness.

ROI (Return on Investment)

Most organizations lack clear ROI metrics for their AI investments, making it difficult to evaluate their effectiveness.

Governance Framework

The study indicates that only 18% of organizations have a dedicated governance role for AI.

Companies Mentioned in this Article

IBM

The company commissioned the AI Readiness Barometer Study to assess AI adoption across various organizations.

Ecosystm

The firm conducted the study for IBM, surveying technology and business leaders across ASEAN markets.

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