Why we don't see good AI / ML work

Why we don't see good AI / ML work. Good AI / ML work depends

• Choosing a use case with a strategic and AI-focused approach. Selecting the use case that has a balance of vision/strategy / applying AI lens
• Ensuring access to adequate data for training and deployment
• Garnering robust business support
• Acquiring or developing tools to deliver meaningful AI/ML contributions

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