Artificial intelligence deployments are fraught with technical and tactical elements that have to be executed well in order to see a return on investment: The data must be accessible, cross-functional AI teams have to work together, and even after an AI pilot seems promising - it often needs to be integrated into legacy systems to be deployed successfully.
Above both the technical and the tactical issues lies a greater set of looming questions:
What is AI helping our department or firm to become?
How will it help us serve our customers, improve our operations - and ultimately win in the market?
At completely digitally and data-native firms - including much of Silicon Valley and big tech - these questions are often answered early on. Digitally native firms often have an understanding of AI's role in their product, operations, and strategic differentiators early on. Firms like Microsoft have enough AI fluency among their leadership to adapt their business models and strategic plans to in...
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