and applies knowledge,
providing individuals and AI systems with the ability to overcome their respective limitations.
It’s ushering in a wave of innovation and interaction between humans and their tools: a new era of co-innovation.
Human-machine collaboration, from mixed reality to virtual reality and all points in between, amplifies engineering and exponentially increases capacities.
The Considerable Upside of Human Machine Collaboration
• Humans and machines can work together to enhance their respective capabilities and strengths, while compensating for limitations.
• Working collaboratively reduces the risk of human error and shunts some or all the repetitive or time-intensive tasks to machines.
• Machines can perform new tasks, those that humans cannot perform on their own.
In an environment where the real and virtual coexist, digital twins add layers of three-dimensional and interactive virtual information to layers of real information. In this way they replicate a physical object, process, or system, optimizing it before investing further in its development and releasing it into the real world.
Decisive breakthroughs in augmented intelligence are making daily headlines, and most companies are already using or planning to use it. They’re often encountered as off-the-shelf solutions, like virtual assistants. They’re integrated into current operations as solutions that offer a range of modular functionalities that combine business and management rules, data analysis, machine learning, dashboarding, real time piloting, and performance indicator monitoring.
Human-machine collaboration perceives, learns, memorizes, understands, decides, and applies knowledge, providing individuals and artificial intelligence systems with the ability to overcome their respective limitations. It’s ushering in a wave of innovation and interaction between humans and their tools: a new era of co-innovation.
Over the next decade AI systems will perform:
80% of process-oriented tasks
50% of quantitative reasoning tasks
20% of cross-functional reasoning tasks1
Developments are proportional to the challenges and issues they create. The adage: "you can't stop progress applies", and the progress we’re witnessing is in full acceleration, arguably in hyper-acceleration. As the rate of change of technology, computing capability, and data and knowledge continue to accelerate, companies are left to develop on-the-fly solutions to cope with the impact of continuous change. Properly leveraging human-machine collaboration is more essential than ever.
Companies are left to develop on-the-fly solutions to cope with the impact of continuous change.
Amplifying To Improve
Humans amplify machine and AI system capabilities through the design of learning strategies that allow them to achieve the desired level of performance and improvement based on the various data sets and contexts encountered.
Robots and artificial intelligence systems amplify our capabilities by inspiring innovation. Everything from autonomous drones to advanced automotive design, biomechanical and motorized exoskeletons, down to the scripting of uses that test multi-use and mobile intelligent banking applications.
The Augmented Company
To take advantage of AI systems and human-machine collaboration, winning organizations must reimagine the role of people, technology, and amplified intelligence within their operations.
Winning organizations must reimagine the role of people, technology, and amplified intelligence within their operations.
OF LARGE GLOBAL COMPANIES
SURVEYED REPORT REDESIGNING
TALENT PRACTICES FOR A MIXED
HUMAN AND MACHINE WORKFORCE.2
Inspired by industry-disruptive start-ups, organizations with an eye to the future are building centers of expertise and test beds. They’re surrounding themselves with talent that’ll create the conditions favouring unprecedented co-innovation.
By stimulating the co-innovation and co-creation of value, winning organizations are stretching the limits of continuous innovation - the ultimate driver of competitive advantage. As higher quality data becomes more abundant, and as systems become more powerful and user-friendly, humans and machines are better able to acquire new skills and even create new products and services.
This amplification of skills, talents, and competencies will expand the capability of organizations, stimulate creativity, and present innovative opportunities for growth.
In conclusionAll of the robotics and AI media hype aside, human-machine collaboration has the potential to create new ideas that exploit alternative scenarios based on all-new assumptions. This amplification of skills, talents, and competencies will expand the capability of organizations, stimulate creativity, and present innovative opportunities for growth.
Information for this article was compiled from several sources:
Thomas H. Davenport, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Cambridge: MIT Press, 2018).
Thomas H. Davenport and Rajeev Ronanki, “Artificial intelligence for the real world,” Harvard Business Review,January-February 2018.
McKinsey Analytics Global survey: The state of AI in 2020
Deloitte AI Institute: The AI Dossier
European Commission: Humans and Societies in the Age of Artificial Intelligence