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As data scientists, we invest much of our time on the business problem, the data, the statistics, the algorithm, and the model. But we can’t afford to overlook one very important component: the customer. A great AI and ML model with a poorly designed user experience is ultimately is going to fail. The world’s best data products are born from a perfect blend of data science and amazing user experience. Design thinking is a methodology for creative problem solving developed at the Stanford d.school and is used by world-class design firms like IDEO and many of the world’s leading brands like Apple, Google, Samsung, and GE.
Michael Radwin prepares a recipe for applying design thinking to the development of AI/ML products. You’ll discover deep customer empathy and fall in love with the customer’s problem (not the team’s solution), and you’ll learn to go broad and narrow, focusing on what matters most to customers. Michael shows you how to get customers involved in the development process by running rapid experiments and quick prototypes. These lessons blending data science and design thinking can be applied to products that leverage supervised and unsupervised machine learning models, as well as “old-school” AI expert systems.
What you'll learn
Discover deep customer empathy for the customer’s problem (not the team’s solution)
Learn to go broad and narrow, focusing on what matters most to customers and how to get customers involved in the development process by running rapid experiments and quick prototypes
As data scientists, we invest much of our time on the business problem, the data, the statistics, the algorithm, and the model. But we can’t afford to overlook one very important component: the customer. A great AI and ML model with a poorly designed user experience is ultimately is going to fail. The world’s best data products are born from a perfect blend of data science and amazing user experience. Design thinking is a methodology for creative problem solving developed at the Stanford d.school and is used by world-class design firms like IDEO and many of the world’s leading brands like Apple, Google, Samsung, and GE.
Michael Radwin prepares a recipe for applying design thinking to the development of AI/ML products. You’ll discover deep customer empathy and fall in love with the customer’s problem (not the team’s solution), and you’ll learn to go broad and narrow, focusing on what matters most to customers. Michael shows you how to get customers involved in the development process by running rapid experiments and quick prototypes. These lessons blending data science and design thinking can be applied to products that leverage supervised and unsupervised machine learning models, as well as “old-school” AI expert systems.
What you'll learn
Discover deep customer empathy for the customer’s problem (not the team’s solution)
Learn to go broad and narrow, focusing on what matters most to customers and how to get customers involved in the development process by running rapid experiments and quick prototypes
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