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Driving Business Outcomes with Data Science Using Design Thinking

Lifelong learning is essential for those engaged in today’s business and technology worlds. Innovation, Creativity, and Strategic Doing are methods that provide solution-based approaches to solving problems over five stages: empathize, design, ideate, prototype, and test. Data Scientists, leveraging Artificial Intelligence (AI) and Machine Learning (ML), need to comprehend these five stages in the context of data science for addressing a problem, discovering solutions, creating new sources of value, and empowering stakeholders.

It is important to create a shared understanding between data scientists and designers so we can get the most out of this powerful collaboration. Instead of parallel tracks working in isolation, they need to take advantage of opportunities for knowledge sharing, collaborative co-creation, and shared learning.