Take A Measured Approach To AI Adoption

The rush to AI projects often comes as an all or nothing approach. However, lessons learned from Constellation's Executive Network (CEN) members show a gradual and measured approach.  Constellation sees five phases to adoption from both a business and cultural point of view:

  1. Augmentation. Organizations begin by finding tasks that benefit from augmenting existing work flows and learning where exceptions are needed.
  2. Acceleration.  As more data is taken into consideration and training improves, false positives and false negatives are worked out to accelerate progress.
  3. Automation.  Once a level of confidence has been achieved as more data points are assimilated, organizations can act with confidence towards automation.
  4. Agent.  Automated agents play a role in improving personalization at scale.
  5. Advisor.  Advisors can provide capabilities in prevention and prediction built on the overall accumulated knowledge and insight from the business graph.

The Bottom Line: Three Questions To Ask Before Your AI Project Goes Public

AI projects have amazing potential, yet they must meet the following three question tests before impacting external stakeholders such as customers, partners, and suppliers.  Ask these three questions as a test before putting your AI project into the wild:

  1. Do you have enough data to achieve a level of precision that your stakeholders will trust?
  2. When and where will you insert a human?
  3. Who do you sue if something goes wrong?

Your POV

How far along are you with your AI projects?  Are you ready to put these into full production?  What risks have you mitigated?

Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org. Please let us know if you need help with your strategy efforts. Here’s how we can assist:

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