AI (Artificial Intelligence) is a key element in creating a new digital workforce. What analyst Gartner describes as DigitalOps
Artificial intelligence incorporates some of the most innovative and destructive technologies. Cognition and Computer Vision; Conversational Ability; Human vs machine user interface; Predictive data analysis; Cyber Security; IoT and intelligent monitoring.
Significant skill is required to implement for optimization in the global work environment. Despite the evolution of management software and techniques, the most effective way to derive maximum value from these technologies is through convergence through robot process automation (RPA).
Robot process automation
This proven technology already combines AI and cognitive tools to achieve cost savings while at the same time delivering dozens of productivity gains. RPA simplifies workflow and promises much smarter business decisions and a much wider range of positive possibilities by performing some day-to-day management tasks much faster than people need and adding AI and cognitive capabilities .
Learning ability is a unique feature of AI and means that computers are no longer limited to simply performing human-generated instructions. Instead, they can consistently learn from new data and perform better than their human programmer. It is depicted as moving from rule-based to experience-based operations.
AI performs a number of tasks, such as driving a car, diagnosing a disease, or providing customer support. AI's superhuman performance greatly improves productivity. According to a June 2017 study by consulting firm PwC, artificial intelligence is expected to raise an additional $ 15.7 trillion to the world by 2030.
Artificial intelligence can be thought of as the "thinking" element of a digital workforce, but the RPA "implements the" vision "component of processing computer vision and all types of data (structured or unstructured). Data is fed into AI solutions and powers RPA software automation, which can operate according to human operator instructions or perform unattended and fully autonomous tasks.
Trust building on AI is however
Trust is one element here because it can cause conflicts between maintaining the control of AI and trusting autonomy within every organization. Employees can believe that training and personal performance control can perform as expected But how can humans anticipate robots or all automated processes and perform as expected? [19659002] It is important to recognize the difference between RPA robots and robots as AI solutions. While RPA robots are programmed to perform specific tasks, AI solutions are learned through observation
It takes time and requires transparency and analysis from the point of implementation. It will not be easy for humans to find a transparent way to know how to learn and use this knowledge in the right way.
Fear of change and personal employees Lack of participation can also have a negative impact on success Adoption of AI-based automation It is important that every organization that implements an RPA with AI capabilities is trained in the workforce. It should be considered a technology that opens access to [19659000] Extensive effects of automation
AI's capabilities today have limitations that have a different impact on the relationship between society and automation
Repetitive tasks such as auditing or insurance and credit management It is likely to disappear and much of the basic information access and processing aspects of jobs such as medicine and law can be performed by AI and cognitive applications. However, the role of complex human interactions or the management of people is urgently required and will actually increase. These jobs transcend AI's creativity, strategy, sociability, and care. This technology is a way to transcend human ability in the digital realm, but lacks social skills and empathy.
Here, AI is fundamentally changing a lot of intermediate-ranking tasks, including the degree of management and information analysis. The relatively insulated role is on the other side of the income spectrum, from CEO to caregiver, podiatrist and hairdresser.
As a result, there have been many discussions about providing universal primary income to citizens who lost their jobs. This is to miss opportunities presented by transformational technologies.
Such a revolution in the way we relate to work will require inventory at every corner of society. Instead of simply looking at AI as a cost-cutting means of automation in the private sector, businesses will create new jobs by pursuing a symbiosis between artificial intelligence and human contact. This is particularly effective in areas where AI can produce critical insights such as health care and education, but where only humans can lead to attention and compassion.
In many organizations that already have an AI-based & # 39; smart & # 39; RPA implemented, we have very low job losses as humans move away from commonplace to increase their value chain. In other words, employees have more time to concentrate on profitable, creative work that increases their participation.
Review may be required.
Some roles are going to disappear and it can not be denied that there is a need for new thoughts on how to use wealth
Some of these are care or charity activities, childcare or family education, helping the elderly parents, or mental or physical disabilities It can be used to support socially useful things such as helping a friend. Fill your life.
By demanding some social contributions, we foster a public spirit that focuses on our usefulness to one another and to the wider humanity. We must answer many difficult questions before we implement such a broad and ideal policy.
In the meantime, however, it is important to focus on getting the greatest gains in productivity and efficiency in the most effective implementation of RPA and AI. This is a sure way to take advantage of the combined potential of human and machine thinking.
Guy Kirkwood Chief Evangelist of UiPath
