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Using AI to learn what is important to learn about Design Thinking (ChatGPT Open AI)

InnovationTraining.org

I’ve been having fun with the Open AI chatbot ChatGPT. ChatGPT allows you to chat with the AI and get ideas or knowledge in a more natural way of communication. I decided to try to question it about design thinking and what were the most important things to learn. Here is my chat conversation.

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Embrace AI-driven innovation, it is the future.

Paul Hobcraft

It has only been one year since the launch of ChatGPT, then with a follow-up of GPT-4. It can generate new content like audio, art, and text, all by learning from a set of data without explicit instructions.” Clean and preprocess the data to ensure it’s suitable for AI model training.

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Emerging Blueprint for thinking through the Hierarchy of Ecosystem Needs

Paul Hobcraft

Actionable Steps: Invest in data analytics and modelling to uncover hidden patterns. Foster a culture of curiosity and continuous learning to adapt to evolving complexities. Agile Organizational Structure: Why it Matters: A rigid structure can hinder adaptability. ChatGPT helped whip this into a more evident blueprint.

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Innovation thinking in Ecosystem and Generative AI design.

Paul Hobcraft

This might involve assembling the right team, procuring the needed technology, and ensuring data availability. Learning Plan: Continuous learning is essential in evaluating ecosystem AI-driven innovation. Ensure your data sources are reliable, diverse, and representative of the problem you aim to solve.

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Discover your unique innovator’s Sensory Profile.

Paul Hobcraft

Adaptive Response to Stimuli : The heightened sensory awareness contributes to a more adaptive response to stimuli, fostering agility and responsiveness to emerging challenges. So where would we place Sensory acuity or awareness, alongside or ranked in broader cognitive abilities and capacity to learn, absorb and interpret?

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Intentionality and the Differentiating Competitive Advantage 

Planview

It examines anonymized data from over 3600 value streams, representing over 38K individuals across the value chain from ideation to value. To my knowledge, we are the only organization with access to such a large and complex value stream data set. How Do You Appreciate the Value of Business Agility?

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Generative AI Use Cases and Benefits for Enterprises

Acuvate

It is paving new avenues for enterprises, rapidly emerging as a catalyst and leveling up innovation at breakneck speed. From content generation and personalized support to data-driven decision-making, Generative AI’s far-reaching applications are amplifying operational efficiency and productivity.