How Workers Can Navigate Machine Learning

How Workers Can Navigate Machine Learning's Impact on Their Jobs
Posted by: Bruce Dugan Comments: 0

Workers can navigate machine learning by understanding it and the impact it has on their jobs. If applied correctly, it can even become a valuable asset. And for business owners, it can help in growing your business. The machine learning revolution is inevitable. It’s been called the “new electricity,” and it’s poised to transform nearly every industry. That means nearly every worker will be affected by the use of AI software or apps in some way. However, this isn’t a bad thing. Read on for more information about what this means for future workflows and processes.

Learn the Benefits of Machine Learning for Workers

Machine learning or ML uses data to understand processes and “learn” and researchers are discovering more flexible approaches to machine learning too.

There are many potential benefits to the use of ML. For example, ML can enhance team cooperation and improve work culture by making it easier to collaborate. Additionally, it can boost employee learning and training while also reducing bias in appraising career advancement. 

The benefits of ML for workers are many, but, as Experience Stack notes, one of the most significant is the potential for increased productivity. When businesses use machine learning to automate repetitive tasks and processes, employees gain more free time. They can then focus on more important and valuable work, which can increase engagement and yield a more positive workplace culture overall.

One of the partners here at A2Z Business Consulting has repeated a quote by Rory Valen on multiple occasions:

Automation is to your time what compound interest is to your money!

Rory Valen

Diligent points out that business process management, or BPM, can help optimize workflows and processes, making them more efficient at eliminating errors. When implemented correctly, BPM can improve the bottom line. There are many online automated tools available today, especially for ADA compliance, marketing, social media management, sales, and even website building, and content development (for terms of service and privacy policies).

How Workers Can Navigate Machine Learning

Assess Your Job Situation 

One of the most common questions about the impact of ML on workers is whether or not AI will replace human jobs. The short answer is: it depends. In some cases, AI and machine learning can automate repetitive tasks that are currently carried out by humans, and do them more efficiently — A.I. doesn’t sleep, nor does it need coffee or bathroom breaks. . This means humans are no longer needed to perform those roles. This is most dominantly felt in manufacturing where companies have — or developing — fully automated production lines. Amazon, for example, is also infusing A.I. into logistics and order processing.

However, AI can also augment human abilities, giving employees the ability to perform their jobs better. For example, ML can be used to help customer service reps resolve issues more quickly or to help salespeople close more deals. In these cases, the use of ML complements an existing role rather than impeding or eliminating it.

Consider Going Back to School

A vast amount of workers pine for the “good ‘ol days”. Get over it. Human ingenuity has evolved since the dawn of time, upending, disrupting, and resetting the way we live. When Ford introduced the assembly line it changed everything; so too with the lightbulb; jet engines. Society is ever-changing. As a worker, you keep up or fade away.

So, how can workers prepare for the increased adoption of AI use in the workplace? One way is to go back to school and learn more about machine learning and data analytics. Doing so could allow you to develop your skills in machine learning as well as data mining, data management, and database applications. It may in fact open up avenues to a new career.

Earning an online master’s degree in data analytics could also prepare you for a future in which machine learning is more prevalent. With an online data science program master’s degree, you would be able to analyze data sets, develop algorithms, and build models to help businesses make better decisions. To learn more about this option, check it out for more info.

Navigating the New Machine Learning Era

The bottom line is that workers should be prepared for the impact that ML will have on their jobs. Workers can navigate machine learning by understanding the potential benefits and taking steps to learn more about the technology. This can include going back to school, and/or positioning themselves for the A.I. shift. The machine learning revolution is coming so prepare for success in the new machine learning era.

This article was submitted by and mostly written by Sharon Wagner of

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