From the course: AI Strategy Foundations for Data Scientists and Team Leaders
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AI strategy vs. AI plan
From the course: AI Strategy Foundations for Data Scientists and Team Leaders
AI strategy vs. AI plan
Let's talk about the difference between an AI strategy versus an AI plan. An AI strategy is a high-level approach. It provides frameworks to integrate and use AI. It defines how AI can improve outcomes, make operations smoother, and create value. AI creates value for many users like sales, product, and marketing. It guides investment to focus on AI for a long-term vision. When it comes to AI strategy, you need to be able to give realistic assessments, assess feasibility, resources and current capabilities. Now, AI plans are more tactical. They explain how to execute AI projects within the broader AI strategy. Plans outline the steps, resources, and tech needed for each AI project. They also show the timelines for each one. They focus more on short-term goals and solving use cases. Good AI focus plans consider practical tech issues. These include data availability, infrastructure readiness, team skills, and regulation compliance. They also consider how AI will integrate with current…
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