📚 node [[best practice ai lessons from early adopters]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Best practice - AI lessons from early adopters.md by @KGBicheno
Best practice - AI lessons from early adopters
Go to [[Week 2 - Introduction]] or back to the [[Main AI Page]]
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Choose your on-ramp
- Determine a starting point by considering your needs and resources. Target a use case with a strategic goal and data to support it. Will you pursue enterprise-wide transformation, or improve a specific business process?
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Advance your data strategy
- The success of your cognitive initiative will depend on the volume and quality of data at your disposal. Consider leveraging a diverse range of untapped data sources based on your business need—from structured to unstructured, and from internal to external sources.
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Team for sucess
- Encourage your IT and business leaders to collaborate on the organization’s cognitive initiatives. Enlist a team of cognitive, software development and data specialists to implement and manage cognitive pilots and supplement your in-house expertise through your ecosystem of partners.
#ToDo Build this into the approach for my [[Master of Philosophy]]
📖 stoas
- public document at doc.anagora.org/best-practice-ai-lessons-from-early-adopters
- video call at meet.jit.si/best-practice-ai-lessons-from-early-adopters
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