DesignEntrepreneurship Magazine Bot | Like this blog? Subscribe here | Keyphrase | Expert-driven AI selects top articles and posts about #DesignEntrepreneurship, #DesignThinking, and #LeanStartUp as used in #enterpriseeducation #entrepreneurshipeducation #entrepreneurialmindset #emprendimiento More Design Thinking Use Cases #Innovation Indicators What is the connection between Design Thinking and Artificial Intelligence?

When AI first became technologically feasible, the only people who were trying to harness the true potential of AI were programmers and engineers with advanced degrees in mathematics. Not anymore. According to an article in the Harvard Business Review, AI has moved from the theoretical (what can AI do?) to the practical (what can AI do for me?). This is the age of “deployed AI,” which is destined to impact everyone. After all, the range of AI applications is staggering. Imagine, having an AI solution that could:

Moore, Andrew. “When AI Becomes an Everyday Technology.” Harvard Business Review, June 7, 2019.

  • Read an x-ray and provide a preliminary diagnosis.
  • Detect a potential heart problem based on an ECG and then make a life-saving call to emergency first responders.
  • Inspire students to discover new medications and then schedule clinical trials.

Design thinking is an iterative process that puts people first. Instead of looking at a problem and immediately working toward a solution, design thinking starts by seeking to understand the people who will be using the product or solution and then figuring out what they need and how to provide it. Design thinking reframes traditional development methods to one that focuses entirely on seeing things through the eyes of the user. And it’s an essential — though often overlooked — element of successful AI design.

View source article at Design Thinking: A framework for realizing true AI potential

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