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Unfortunately, this means many organizations will fail to attain the transformation results they seek.
Poor data quality, infrastructure, transparency and accessibility are the most common challenges.
An organization-wide analysis of teams, and how each uses and accesses data, can help evaluate capabilities.
Michael Chalmers is CEO of Mesh-AI.
The second is ideation.
This includes setting-up, training, measurement, scaling and maintaining AI models over time.
The fourth pillar is trust.
A lack of trust has the potential to be the biggest barrier to AI adoption.
This will helpemployeessee that the technology is safe, transparent and accountable, building trust.
Finally, the impact on the organization.
AI initiatives should never be launched without a clear business goal.
However, many embark on projects in isolation without considering the potential on wider operations.
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