Arnold Schwarzenegger starred in one of the greatest future-oriented action-movies of all time: T2 Judgment Day. A James Cameron classic, this film certainly evokes much deeper thought on many levels, particularly how society is being impacted by artificial intelligence (AI). The rise of the machines is certainly nothing new, but it’s a daunting prospect for companies and their employees. It’s not a question of whether robots are going to be operational in businesses – they already are. The precise timing of the ‘takeover’ is uncertain, but it is crystal clear that collaboration with artificial intelligence systems is essential for organizational success.
Robotic-style systems are geared towards analyzing mounds of data, processing data, and automating mundane activities. This is evident with payroll systems, invoicing, customer service operations, et al. The scope of these AI systems and processes is growing, and companies are duty-bound to develop their workforce skill-set to operate in this type of environment. Artificial intelligence systems are evolving at breakneck speed. This is already changing the way that the job market operates, and various reports have been published focusing on precisely this topic. One such report (Forrester Research ‘The Future of Jobs: 2027) pays particular attention to automation and AI technology, with stats indicating AI adoption rates of 25% – 100% in certain cases. Artificial Intelligence (AI) and Intelligence Augmentation (IA) are different, yet both geared towards using intelligent machine systems and services to boost business productivity.
There are many ways to prepare your workforce for the artificial intelligence revolution, most of which require employees to participate in a process of ongoing learning to embrace change and interact with new technological systems and robotic process automation like Kryon. Organisations are actively adopting disruptive AI tech, realizing its many benefits. Some companies have opted for a hybrid combination of AI tech and workforce development. The mere adoption of AI is insufficient to achieve organizational goals; it must be coupled with a people element to work. That is why workforces are seeing changes in cultural behavior, skills training, and company dynamics.
Effective Ways to Prep A Workforce for AI technology
Identify the Current Scope of AI Implementation
AI comes in many forms. Rudimentary examples include chat bots and robots. The technology is also capable of sophisticated functionality, including predictive analysis. By understanding the current scope of AI implementation, and its practical applications vis-a-vis the workforce, it is possible to identify areas of overlap, possible conflict, and skills-set development. People have an inherent fear of automation, especially in the workplace. Skepticism can generate ambivalence towards AI technology. It is leadership’s job to initiate proceedings.
Communicating with Employees
It comes as no surprise that AI technology is going to revolutionize the workplace within the next decade or so. The sad reality is that businesses are not communicating to employees about the impact AI technology is having on operations. It’s important to actively encourage communications with employees and to move towards a hybrid workforce comprising AI technology and human employees.
Ongoing Training and Skills Development
Employees must undertake skills development and ongoing learning to become adept at working in an AI culture. These learning initiatives are vital to fostering a harmonized work environment. Digital skills training is vital for the success of an AI-driven workforce. Fortunately, dynamic work environments are staffed with workforces that thrive on developing their skills and abilities, through ongoing learning and training through sites like Edureka.
AI Champions in the Workforce
Companies with multiple departments should make a point of promoting an AI Champion as a role model for employees. These employees serve as ‘go-to’ leaders to help facilitate a smoother transition to adoption of AI systems in the workforce. Machine learning and human learning must come together to facilitate this type of tech adoption. The reason why AI Champions are chosen from each department is because it’s standard employees, not the executive leadership which deals with automation in the workplace.
The overall goal of management is to create an AI culture. To this end, it’s’ important that employees embrace automation in their daily work activities. This ambitious objective takes time to develop. Employees should share their personal accounts of AI experiences, the impact it has on morale and how it can be channeled towards skills improvement. The IT sector needs talented individuals, particularly in the realms of cyber security and automation. This AI culture requires a workforce capable of operating alongside the new technology to achieve the best results.