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Writer's pictureDr.Hakan Tetik

Lost Professions in Just 3 Years of the Big Data Transition


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The big data revolution has created a ripple effect in the business world in recent years. It has created new opportunities, but it has also led to the disappearance or reshaping of many professions. So, which professions have been lost in this transformation? And which areas may be at risk in the future? Let's explore these questions together.

 

The Impact of Big Data

Big data means not just having more information, but making sense of it and turning it into strategy. Today, companies that can cope with massive data are one step ahead. But there is also a dark side to this process: The disappearance of traditional professions. First, the combination of big data analytics and automation has rendered some professions obsolete. For example, data entry personnel. What used to be manual data entry is now automated by software and algorithms. As data processing speeds up, such positions are becoming redundant.

 

Disappearing Professions: What has changed?

1. Accountants: It may come as a surprise, but accountants were one of the first victims of the big data revolution. Thanks to big data and artificial intelligence, financial transactions can be processed faster, more accurately and in more detail. Companies such as Intuit have reduced the need for accountants by processing the financial data of individuals and small businesses with tax and financial management software. Especially small businesses now prefer to use these software instead of accountants.

 

2. Journalists: Journalism has been transformed by the big data revolution. Automated news writing algorithms (for example, The Washington Post's Heliograf) can generate news on everything from sporting events to economic reports. This poses a particular threat to local journalists and content producers. The automated writing of ordinary news stories has dramatically reduced the need for human journalists.

 

3. Customer Service: Another disappearing profession is customer service representatives. Thanks to artificial intelligence and big data analytics, chatbots and automated customer service systems have become widespread. Especially giant companies such as Amazon and Facebook have succeeded in automating customer service by using chatbots. Customer queries can now be resolved instantly with AI algorithms, reducing the need for customer service employees.

 

Professions Changing with Big Data

Some professions have evolved instead of disappearing completely. These professions have become more equipped and strategic with big data. A few examples;

 

1. Marketers: The marketing industry has experienced a significant change with big data. Traditional marketing methods are no longer sufficient. Instead, customer behavior, shopping habits and digital interactions analyzed by big data have become central to marketing strategies. However, this doesn't mean that marketers have completely disappeared. On the contrary, a new generation of marketers, armed with data literacy and analytics skills, are making more strategic decisions.

 

2. HR Specialists: Another example is the transformation in human resources (HR) departments. Big data analysis is now used in recruitment processes. Candidates' social media activities, online behavior, competencies and performance data are analyzed by algorithms. But HR professionals have not disappeared completely. They have evolved into a role that requires more data reading and analysis skills.

 

Occupations at Risk in the Future

In this era of big data and automation, there are professions that may be at risk in the future. For example, the legal sector. There is currently no technology to replace lawyers, but thanks to big data analytics, law firms can scan huge contracts and legal documents much faster. This could reduce the need for humans for some legal proceedings in the future.

 

Another risky area is the health sector. Artificial intelligence can help doctors in disease diagnosis and treatment planning. Thanks to big data analytics, medical data can be analyzed more accurately to diagnose diseases. For example, IBM's Watson helps doctors diagnose cancer by analyzing medical data. Such advances could reduce the need for doctors in certain diagnostic and analysis jobs in the future.

 

Where Losses Become Gains: New Professions

Not everything is so dark. While the big data revolution has destroyed some professions, it has also given birth to new ones. New generation professions such asdata scientists, artificial intelligence engineers, algorithm experts are now in demand. These professions take on roles that develop new strategies for businesses by analyzing big data, design algorithms and improve business processes with data.

 

Data scientists, in particular, are currently one of the most sought-after professionals in the business world. Thanks to big data, companies gain an advantage by better understanding customer behavior, sales strategies and market trends. This leads to a higher demand for data science experts.

 

Conclusion Adaptation and Future Readiness

The big data revolution continues apace and the business world has to keep up. Some professions are disappearing, some are evolving and some are being born. The important thing is to anticipate this transformation and have the necessary skills. The loss of old jobs opens the door to new opportunities. But the biggest lesson in this process: To constantly learn and adapt to change.

 

And how will you adapt to this change?

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