Discover the new roles at the intersection of big data and artificial intelligence
The latest technological revolution is not really different from those that preceded it. The rise of AI and Big Data bears many similarities to the Industrial Revolution or the early days of the internet and the DotCom era; all generated panic and fear about the imminent change they would bring to social organization and production methods. But they also filled us with expectations.
While the implementation of AI has multiple benefits, encountering innovations of this magnitude naturally leads us to wonder how it will affect daily life and our roles in society. After all, if there’s one thing AI has promised us for years, it’s the automation of tasks and jobs.
How will the arrival of AI and big data affect the work environment?
Not as drastically as the most cautious might fear, but it won’t be a minor change either. We are going to feel a strong shake in any case, or at least that’s what most projections indicate. It’s a matter of knowing how to adapt.
With approximately 75% of companies looking to adopt Big Data, Cloud Computing, and AI in the next 5 years, according to The World Economic Forum Future of Jobs 2023, it is undeniable that it will transform industries. The automation of routine processes and the creation of new roles and job profiles make it necessary for roles most susceptible to automation to transform.
In the face of industry evolution, it is vital that these roles are updated. The most easily automatable roles will be forced to choose between specializing in processes that AI will hardly displace or incorporating it into their processes and starting to implement Big Data management within their operations.
Roles in constant evolution
According to a study by MIT led by Neil Thompson in collaboration with IBM and The Productivity Institute, some of the specialized tasks with the least likelihood of being automated are those related to visual analysis and data management, so roles like design or quality control can be secure. Similarly, roles involving User Experience (UX), Cybersecurity, Marketing and Media, or multicultural products.
For roles associated with Big Data and AI management, we will see how roles related to data storage/processing and analysis begin to grow. Roles such as Data Analyst, Data Scientist, or Data Engineer will become increasingly relevant and stable in the current and future industry landscape.
We will also see the growing evolution in the industry of roles directly related to AI functionality, such as digital transformation and Machine Learning specialists, Business Intelligence Analysts, or information security and sustainability specialists. Among many other roles emerging around AI implementation.
Not all is lost
Even though the adoption of AI and Big Data brings the displacement of many tasks and roles, this does not mean the displacement of the human workforce from the industry. What it does bring is a rethinking of its role in the functioning of the industry and the transformation of the paradigm under which it operates.
There is no need to panic about the imminent adoption of AI in industries. While it is absurd to try to avoid it, it will not materialize as quickly or uniformly in all branches and areas of work. We have time to ride the wave, and at Ikusi, we have the best-trained personnel to help you in the process.
From Managed Services like Ikusi Cybersecurity managed services to our full range of Cloud Services, at Ikusi, we can help you receive the impact of AI and Big Data with the best tools and in the most prepared way. Reach out to our team of experts to resolve any questions.