Leadership in Action

Beautiful Lines from the post

• Strategy changes rarely come from a fancy offsite. They come from late-night emails or hallway conversations 
• He never throws anyone under the bus except to take some blame for himself

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AI Solution Strategy Perspectives

Over the last few days, there has been intense discussion around product architecture, design, and adoption. Here are some key points:

• Balancing the adoption of Large Language Models (LLMs) with considerations of cost, consistency, and latency.
• The architecture should be flexible enough to allow plug-and-play integration of different models.
• Every solution must have some differentiation, value add, or a "secret sauce".
• AI tends to perform best when combined with human input (AI + Human in the loop).
• From time to time, use a "convince with code" approach to demonstrate solutions.

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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

Struggling with your AI strategy? Let's connect and navigate it together.

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