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How is 2024 is going on in Recruitment. Is AI will replace the Data Science? Is layoffs will reduce in upcoming year or not? How Data science is better than other domains? Can we career transformation from one domain to other?
Mentors Answer
Answered By Mentor Abhilekh Verma
Hi Renuka,
Let me answer your questions from my analysis of AI and its impact on 2024:
- Recruitment Trends in 2024: To understand the current state of recruitment in 2024, we need to see recruitment trends from "reputed websites" like Mckinsey, Gartner etc. As per my research hiring will improve in 2024 to a great extent thanks to automation and AI tools in HR recruitment.
- AI and Data Science: AI is playing a significant role in improving recruitment processes, especially in the initial screening of candidates. However, AI was not expected to replace Data Science; instead, it was seen as a tool that could enhance the capabilities of Data Scientists. Data Science involves a broader spectrum of tasks, including data collection, cleaning, analysis, and interpretation, which require human expertise.
- Layoffs: The job market and layoffs can be influenced by various factors, including economic conditions, industry-specific trends, and technological advancements. While AI and automation can change job roles, they can also create new opportunities. Whether layoffs will be reduced or increased in the upcoming year depends on multiple factors and requires current economic data and industry-specific analysis to assess.
- Why Data Science is Better Than Other Domains: It's not accurate to say that Data Science is universally better than other domains. The suitability of a career in Data Science depends on your interests, skills, and career goals. Data Science is a valuable field with applications across various industries, but so are many other domains. The "better" choice depends on your individual preferences and strengths.
- Career Transformation: Yes, it is possible to transition from one domain to another, including moving into Data Science or any other field. Many people undergo career transformations by acquiring new skills, certifications, or education. The ease of transitioning depends on the extent of the change and the overlap between your current skills and the requirements of the new field. Networking, seeking advice from professionals in the target field, and continuous learning are essential for a successful career transition.
Feel free to connect with me to get notifications of my ChatGPT sessions in 2024: Abhilekh Verma | LinkedIn
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Answered By Mentor Kaushik Sahoo
Hello Renuka, The short answer is "No"
The answer is Data science is not better than any domains or the vice versa. It`s all about the interest and goals. Definitely if the you are interested with the topic, please go ahead and indeed it is always fun to handle big data and create intelligence tools and it gives power of thinking ! Career is a journey of exploration until you find your interest. We can talk and if you feel interested after the discussion I can share the roadmaps further
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