What Does the Adoption of AI and Machine Learning Mean for the Future of the Workforce?

The inclusion of technology in the workplace is no longer an upcoming trend. From self-checkout kiosks in retail stores to GPS systems used by ride-share companies, workers across all industries are now using technology day in and day out. In the coming years, the adoption of technology such as artificial intelligence and machine learning is only going to increase. While negative consequences of AI adoption often grab headlines, in reality, it will bring various positives for businesses and employees alike. In this article by Real Online Career, we’ve compiled a list of changes workers can expect in the near future and the best ways to adapt to them.

• Workers will Experience Increased Productivity

 
If you hate completing repetitive tasks at work, you’re not alone. Not only do these tasks lead to ineffective use of time but decrease work satisfaction in the long run. The inclusion of AI and machine learning in your workplace will help solve this issue and make life much easier.

For example, instead of customer service agents spending hours each day solving repetitive queries, an interactive chatbot (both text and voice) can be used. According to Digite, the chatbot can be provided with access to customer data, using which it can form personalized answers to customers, solve queries relating to account details, balance in their wallet, restrictions on the account, etc. If needed, queries can be forwarded to agents. But throughout the day, agents can spend time-solving queries of higher importance and complexity.

Additionally, AI assistants can be used by employees to delegate tasks such as meeting scheduling, uploading data, and conducting data searches. Over time the bot will analyze your work patterns and suggest ways to improve performance through prioritizing tasks and suggesting optimum times to tackle complex tasks on your to-do list.

If you're interested in learning more about AI-powered tools in the workplace, here's a guide dedicated specifically to BPM.

• Workers will Benefit from Enhanced Coordination

According to research by GetVoIP, currently, 39% of employees feel that their organization has sub-par collaboration. This can cause serious problems in remote workplaces, which will grow in popularity in the coming years as well. Organizations will seek to overcome this hurdle by using Deep Process Automation, commonly known as Business Process Management (BPM) tools.  

A BPM tool is used throughout the organization and acts as a bridge between all software used by various teams. The AI-powered tool studies business processes and develops a master workflow that highlights areas of improvement. As the workflow is accessible by all employees, it leads to a collaborative effort toward fixing inefficiencies and ensuring business goals are met on time. Additionally, the tool provides the functionality to automate repetitive tasks and share documents seamlessly among stakeholders.

• Workers Will Be Subjected to Reduced Bias

As much as humans try to limit biases from impacting their decisions, it is not possible to eliminate them completely. If a business holds worker performance as a metric above all else, AI-powered tools are the best way to measure them. As mentioned before, tools such as chatbots and BPM analyze every aspect of an employee’s decision-making process and performance. Hence, for a given timeframe, these tools can provide an objective assessment of their products which can then be used to make decisions regarding promotions, bonuses, contract renewals, etc. This helps to reduce the influence of social biases and workplace hierarchies.

• Prepare Yourself for the Future

Workers who want to place themselves ahead of the curve should consider pursuing an online degree in Machine learning which teaches them the basics of data structures, computer theory, and logic. This will enable them to be pioneers of change in their organization rather than slow adopters. Additionally, it can open doors to various new professional opportunities which will have increased demand in the future, such as data scientists, software engineers, software developers, and more.

AI and machine learning technology are here to stay, and the onus is now on organizations and workers to take the lead towards becoming future-ready. Tools such as BPM and chatbots are bound to bring various benefits to the workplace, but to reap their full benefits employers should promote upskilling of employees, helping them make a smooth transition.

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