AI will replace Data Analysts in 2024!!

Summary

In this video, the speaker addresses the common question of whether AI will replace data analysts and data scientists. They emphasize that while AI, particularly generative AI and large language models, is rapidly evolving and impacting various fields, it is not currently replacing these jobs. Instead, professionals need to upskill and adapt to these new technologies to stay relevant. The speaker also announces the availability of several eBooks on related topics and mentions an upcoming program launch. They assure viewers that AI will enhance productivity rather than eliminate jobs in data analytics and data science.

Takeaways

• 📚 Announcing eBooks: The speaker's team has created eBooks on various topics like statistics, PowerBI, machine learning, deep learning, Python, NLP, and computer vision.
• 📝 eBook Availability: To access the eBooks, viewers need to comment 'ebooks'. Once 50-60 comments are received, the links will be made public.
• 🤖 AI and Data Analysts: The speaker addresses the common concern about AI replacing data analysts, suggesting that while AI impacts data science, it won't replace data analysts' jobs.
• 📈 Impact on Data Science: AI, especially generative AI, is rapidly changing the field of data science, requiring professionals to upskill and adapt to new tools and models.
• 🚀 Generative AI Tools: The speaker mentions working extensively with generative AI tools and models like Mistal, Zire, Lama 2, and Cloud A3 in their current company.
• 🌍 Global Collaboration: The speaker is part of a global generative AI group, collaborating with team members from various regions like Singapore, South America, and Hong Kong.
• 🎓 Upskilling Necessity: For data scientists and AI engineers, learning about generative AI and large language models is essential for career advancement.
• 🧠 Core Concepts: Despite the advancements in AI, understanding fundamental concepts of machine learning and NLP remains crucial for anyone starting their journey in AI or data science.
• 💼 Job Security: The speaker reassures that AI is not going to replace data analyst jobs but rather enhance productivity and efficiency in the field.
• 🔧 Tools Evolution: While BI tools have evolved, core concepts like data cleaning and modeling have remained consistent over the past decade, emphasizing the importance of foundational knowledge.

Q & A

What is the important announcement made by the speaker at the beginning of the video?

The speaker announces that their team has created a series of eBooks on various topics including statistics, PowerBI, machine learning, deep learning, Python, NLP, and computer vision, and will make the links available once they receive a certain number of comments requesting them.

What is the main topic of discussion in the video?

The main topic is whether AI will replace data analysts and the impact of AI on data analytics and data science jobs.

What is the speaker's current focus in their work?

The speaker is currently focused on working with generative AI tools, large language models, and other advancements in the AI field.

How has the speaker's work changed over the past year?

The speaker has shifted from traditional machine learning tasks such as classification and regression to working with generative AI and large language models.

What is the speaker's advice for data scientists and AI engineers regarding the rapid changes in AI?

The speaker advises data scientists and AI engineers to upskill in generative AI, large language models, and related areas to adapt to the fast-changing domain.

What is the speaker's stance on AI replacing data analysts?

The speaker asserts that AI will not replace data analysts, but it will help them perform their tasks more efficiently.

What impact has AI had on the productivity of data analysts according to the speaker?

AI, through tools like generative AI and chatbots, has increased the productivity of data analysts, allowing them to complete tasks in less time.

What is the speaker's view on the necessity of learning core concepts in data science and AI?

The speaker emphasizes the importance of learning core concepts in data science and AI, stating that even if one is not currently using certain skills, understanding the fundamentals is essential.

What upcoming program is the speaker working on, and how will it be announced?

The speaker is working on a program that they plan to launch by the first week of April, with details to be shared on their channel and various platforms.

What is the speaker's advice for those starting their journey in AI or data science?

The speaker advises beginners to learn everything from the basics to advanced concepts, rather than skipping steps and jumping directly into specialized areas like generative AI.

What is the speaker's final message regarding the potential of AI to replace jobs in data engineering and data modeling?

The speaker reassures that there is no threat of AI replacing jobs in data engineering and data modeling, and encourages viewers to embrace AI tools to enhance their work.