5 Key Lessons for a Successful AI Proof of Concept (POC) | Avoid These Mistakes!
🚀 Thinking about launching an AI Proof of Concept (POC)? Learn from my real-world experience with a client who was eager to leverage AI but struggled to get a clear path forward.
In this video, I share 5 key lessons (plus a bonus 6th lesson!) that I learned from a recent client engagement around defining and scoping an AI initiative.
🔹 Background:
As an AI & Analytics specialist at an Australian-based Microsoft partner, my role is to help businesses bridge the gap between objectives and solutions. In this case, the customer had already experimented with AI tools like Copilot but struggled to define a structured approach for their AI Proof of Concept.
📣 Want to make your AI Proof of Concept a success? Avoid these common pitfalls and set your project up for real impact!
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#AI #ProofOfConcept #MicrosoftAI #BusinessIntelligence #AIUseCases #DigitalTransformation
00:00 Background
04:24 Lesson 1: No clear process was shared
05:49 Lesson 2: AI education gaps
08:36 Lesson 3: Missing a vision for success
09:52 Lesson 4: Stakeholder churn
11:58 Lesson 5: Principles & constraints
14:21 Bonus Lesson 6: End-user engagement
16:07 Recap