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Human + Machine - Coggle Diagram

- - - - This adaptive capability is being driven by real-time data rather than by an a priori sequence of steps. The paradox is that although these processes are not standardized or routine, they can repeatedly deliver better outcomes
        
        Moreover, in the missing middle, companies can reimagine their business processes to take advantage of collaborative teams of humans working alongside machines. It’s not just digital companies that are exploiting the missing middle. Rio Tinto, the global mining conglomerate, is a case in point. The company is using AI to manage its vast fleet of machinery— autonomous drills, excavators, earth movers, and so on—from a central control facility. This has freed human operators from working in dangerous mining conditions and also enabled Rio Tinto’s team of data analysts to analyze information from sensors on the remote equipment to uncover valuable insights for helping the firm manage its fleet more efficiently and safely
  - - - Mindest
        
        Assuming a radically different approach toward business by reimagining work around the missing middle, wherein people improve AI and, in turn, smart machines give humans superpowers
      - Experimentation
        
        Actively observing for spots in processes to test AI and to learn and scale a reimagined process from the perspective of the missing middle
      - Leadership
        
        Making a commitment to the responsible use of AI from the start. Executives must always consider the ethical, moral, and legal implications of the AI technologies they deploy, and the systems must generate explainable results, promote algorithmic accountability, and eliminate biases
      - Data
        
        Building a data “supply chain” to fuel intelligent systems. AI requires extensive amounts of data, both in volume and variety. This includes “exhaust data”—data created as a byproduct of another process (for example, cookies from customer web browsing).
      - Skills
        
        Actively developing the eight “fusion skills” necessary for reimagining processes in the missing middle. The growing power of AI is fundamentally transforming the human-machine relationship.