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开发数字发明内容Develop digital inventions

数字经济创新中所述,创新需要在发明与采用之间实现平衡。As described in Innovation in the digital economy, innovation requires a balance between invention and adoption. 需要客户反馈和合作关系来推动采用。Customer feedback and partnership are required to drive adoption. 下一节中所述的准则定义了一系列用于开发数字程序的方法,同时保持采纳和客户理解。The disciplines described in the next section define a series of approaches to developing digital inventions while keeping adoption and customer empathy in mind. 每个学科都将进行简要介绍,并在每个过程中提供更深入的链接。Each of the disciplines is briefly described, along with deeper links into each process.

云采用框架的创新方法

每个数字发明准则的摘要Summary of each discipline of digital invention

并非每个专业都需要为每个特定案例推动创新。Not every discipline is required to drive innovation for each specific case. 按照 客户理解中的 "生成" 指导原则,目的是在每次迭代中测试假设。By following the guidance in Build with customer empathy, the objective is to test a hypothesis in every iteration. 通过将每个迭代的输出定义为 (MVP) 的最小可行产品 ,这将使您能够涉及到最少的专业学科。By defining the output of each iteration as a minimum viable product (MVP), this should enable you to involve the fewest possible number of disciplines.

  • 变得大众化数据 通过将数据交给客户、合作伙伴和员工,你可以鼓励创新的观察。Democratize data: By getting data into the hands of customers, partners, and employees, you encourage innovative observation. 引入、集中、管理和共享数据。Ingest, centralize, govern, and share data.
  • 通过应用程序 用户通过应用程序和体验与知识进行联系。Engage via applications: People connect with knowledge through applications and experiences. 使专业开发人员和公民开发人员可以快速创建应用程序。Empower professional and citizen developers to create applications quickly.
  • 使 采用 通过减少对采用和合作关系的摩擦来鼓励创新。Empower adoption: Encourage innovation by reducing friction to adoption and partnership. 架构师,提供可见性、协作、速度和反馈循环。Architect for visibility, collaboration, speed, and feedback loops.
  • 与设备交互 数字和物理线在多通道之间模糊。Interact with devices: Digital and physical lines have blurred across multiple-channels. 跨设备、IoT 和混合现实提供体验。Deliver experiences across devices, IoT, and mixed reality.
  • 预测和影响 向未来介绍领先的创新。Predict and influence: Look to the future to lead innovation. 查看当前数据,通过预测工具通知体验和交互。Look past current data to inform experiences and interactions through predictive tools.

后续步骤Next steps

Democratization 数据 是要考虑和评估的第一学科创新。Democratization of data is the first discipline of innovation to consider and evaluate.