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.

Outlines

00:00

📚 Generative AI and the Future of Data Analysts

The speaker begins by addressing the common concern of whether AI will replace data analysts. They announce the release of new eBooks on various technical topics, including statistics, machine learning, and NLP, which are available for download upon public demand. The speaker then discusses the rapid changes in AI, particularly in generative AI, and the need for data scientists and AI engineers to upskill in this area. They mention their own experience with generative AI tools and models, emphasizing the importance of continuous learning and adaptation in the field. The speaker also highlights the upcoming launch of a new program in April, which will be detailed through various communication platforms.

05:00

🚀 AI's Impact on Data Analytics and Job Security

In the second paragraph, the speaker reassures that AI will not replace data analysts, emphasizing the stability of the field despite technological advancements. They note that while BI tools have evolved, core concepts in data cleaning and modeling remain consistent. The speaker suggests that AI and generative AI tools can actually enhance productivity, allowing for quicker completion of tasks. They advise against worrying about job security in data analytics and encourage staying informed about new tools. The speaker also mentions the importance of learning foundational concepts before jumping into advanced topics like large language models. The paragraph concludes with an invitation to like, share, and subscribe to the channel for more project-based videos, teasing an upcoming project video.

Keywords

💡AI

AI, or artificial intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn. In the video, AI is discussed in the context of its potential to replace jobs, particularly in data analysis and data science. The script mentions that AI has a substantial impact on data science, especially with the advent of generative AI and large language models.

💡Data Analysts

Data analysts are professionals who collect, process, and interpret complex digital data to help businesses make decisions. The video addresses concerns about AI replacing data analysts, asserting that while AI can enhance productivity, it will not replace the need for human analysts. The speaker emphasizes that core concepts in data analysis have remained consistent, indicating that AI tools are more likely to assist rather than replace data analysts.

💡Machine Learning

Machine learning is a subset of AI that involves the development of algorithms that enable computers to learn from and make predictions or decisions based on data. The script mentions that the speaker has worked on machine learning tasks such as classification and regression in the past, but has recently shifted focus to generative AI tools.

💡Generative AI

Generative AI is a type of AI that can create new content, such as text, images, or music, based on existing data. The video discusses how generative AI is rapidly changing the landscape of data science and AI engineering, necessitating upskilling for professionals in these fields. The speaker mentions working with various generative AI tools and models, indicating the dynamic nature of this technology.

💡Large Language Models (LLMs)

Large language models are AI models trained on vast amounts of text data to understand and generate human-like language. The script highlights the importance of understanding LLMs in the current AI landscape, suggesting that professionals need to upskill in this area to stay relevant. The speaker discusses the impact of LLMs on their work, indicating a shift from traditional machine learning tasks to working with these advanced models.

💡Data Science

Data science is a field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. The video discusses the impact of AI on data science jobs, emphasizing that while AI tools can aid in data analysis, they do not replace the need for skilled data scientists. The speaker suggests that understanding core concepts in data science is crucial, even as AI evolves.

💡Upskilling

Upskilling refers to the process of learning new skills or improving existing ones to stay competitive in the job market. The script emphasizes the need for data scientists and AI engineers to upskill in areas like generative AI and LLMs. The speaker mentions that failing to keep up with these advancements could make it difficult for professionals to remain relevant in their careers.

💡eBooks

eBooks mentioned in the script are digital books available in a format that can be read on electronic devices. The speaker announces the creation of eBooks on various topics, including statistics, powerBI, machine learning, deep learning, Python, NLP, and computer vision. These resources are intended to help viewers enhance their knowledge and skills, particularly in the context of AI and data analysis.

💡Productivity

Productivity in the context of the video refers to the efficiency with which tasks are completed, often facilitated by the use of AI tools. The speaker discusses how AI, particularly generative AI and tools like chatbots, can increase productivity in data analysis by reducing the time required to complete tasks.

💡Core Concepts

Core concepts in the video refer to fundamental principles and knowledge that form the basis of a field, such as data analysis or data science. The speaker emphasizes that despite the evolution of AI and BI tools, understanding core concepts remains crucial. These concepts are the foundation upon which more advanced skills and tools are built.

💡Data Modeling

Data modeling is the process of creating a conceptual or logical representation of data objects and the relationships between them. In the script, the speaker mentions that while tools have evolved, core concepts like data modeling have not changed significantly. This suggests that mastering data modeling is still a valuable skill in the field of data analysis.

Highlights

Announcement of new eBooks on various topics like statistics, PowerBI, machine learning, deep learning, Python, NLP, and computer vision.

Comment 'ebooks' to get access to the eBooks once 50-60 comments are made.

AI has a substantial impact on data science jobs, especially with the rise of generative AI.

The speaker has been working on generative AI tools like LLM models for the past year.

The domain of AI is fast-changing and adapting to new developments is challenging.

Data scientists and AI engineers need to upskill in generative AI and large language models.

AI will not replace data analysts, but it will increase their productivity.

Core concepts in data analytics have remained the same despite technological advancements.

AI tools can help data analysts complete tasks faster, but they won't replace the need for human analysts.

Upcoming program launch in April to help learners upskill in AI and data science.

For those starting in AI or data science, it's important to learn from basics to advanced topics.

Generative AI and large language models are difficult to master without understanding core concepts.

AI can be used for applications like chatbots and voice cloning, but not for replacing data analysts.

The speaker emphasizes that AI will not take jobs in data analytics, data engineering, or data modeling.

Upcoming project video related to IPL win prediction.

Next video will feature a new and exciting project.

Transcripts

in many of my previous videos many

people many students have asked and

commented that is AI going to replace

data

[Music]

analysts now before moving into the

topic I have an important announcement

to make my team has created a bunch of

eBooks on various topics such as

statistics powerbi machine learning deep

learning Python and many more topics

even NLP and uh computer vision as well

in case you want to get an access to all

of these ebooks which are in fascinated

shorts format exactly the format that

you want on your phone 9 is to6 format

in case you want all these eBooks please

comment down below just write down

ebooks the moment I see 50 to 60

comments I will make the links publicly

available so that you can download keep

all those documents and it is definitely

going to help you in your interview

process and even without interviews also

if you want to keep it handy for any

kind of help you can keep it now moving

into this topic of will AI replace data

analysts how this technology is going to

affect work the impact of artificial

intelligence and how it is impacting our

day-to-day lives future of jobs report

released today s now before talking into

this topic for data analysts I would

like to generalize the topic and talk

about is AI going to replace any data

analytics or data science jobs now

talking about data science part

definitely AI has a substantial impact

because nowadays a lot of things are

changing in the space of AI in the space

of generative AI literally in my current

company there are a lot of changes as

well from the past one year I have

hardly worked on any machine learning

classification regression or any kind of

traditional work that we used to do long

back right I have been working into Data

from the past 8 n years I've done a lot

of modeling lot of model building but

from the past one year all I have done

is worked on various generative AI tools

generative AI llm models mistal um zire

Lama 2 Cloud a 3 multiple multiple right

and the domain is so fast changing what

I'm trying to say is in my current

company also I'm a part of the

generative AI group across the globe

there are multiple people uh some from

Singapore some from South America I'm

from the Hong Kong Team every now and

then people usually send some news over

there a launch launch something new has

popped up so the the domain is so fast

it's very very difficult to adapt and

what I'm trying to say is especially for

data scientists and for AI Engineers the

addition of generative AI LGE language

models and all those things that are

happening in this particular space is

definitely needed you need to upskill if

you are still new into these concepts of

generative AI llms you definitely need

to upskill and we are all doing all

these things no Core Concepts no mL no

NLP

directly model open source model based

on your use case work on something well

talking about use cases what all use

cases I'm working on in my day-to-day

activities I will be covering that in a

separate video a video let's not discuss

about that um so so the the question is

answered with respect to data science

and AI Engineers those skills are

definitely needed whether AI will

replace the jobs as of now no there is

no impact on data scientists and AI

Engineers but if you don't know those

skills it's going to be very very

difficult for you candidates apply job

somebody has an experience on generative

a large language models fine tuning

working on various use use cases

definitely he has an upper Edge take so

try to learn in case you want to know

where to learn all these things as I

already uh announced in many of my

previous videos I'm working hard for a

program that I'm going to launch by

first week of April the details will be

shared on this channel and on my various

WhatsApp and other platforms if you are

a part of it you will get the

notification now talking about somebody

who's starting the Journey of AI or data

scientist can we directly skip those ml

NLP part and directly jump into

generative AI in large language models

that is

difficult we need to learn everything

from a to Y right all the alphabets are

needed even if you are not using using

it it's

needed Core

Concepts you need to know about all

those things else it's difficult right

so Journey has to be like

this sorrya language model now the

question around will AI replace any data

analyst job the answer is a big no data

analytics

Dom

drastic changes from the past 10 years

things have not changed a lot bi tools

have evolved but some of the Core

Concepts like data cleaning data

modeling tools evolve Concepts have not

evolved concepts are still the same

right so all these things as a value

addition as a skill addition will help

you but AI is not going to replace any

of the jobs so do not get worried about

it AI or generative AI is going to help

you you can probably do the same work in

3 days or 2 days or even less than that

so that impact has been brought

generative AI chat gpts all these

different co-pilot

different uh different tools are there

right now which has increased the

productivity so productivity increase

and you also need to be aware of these

tools but jobs secur there is no AI bot

who is going to take your job do not

worry about it content

writing yes or calling me yes you can

create chat Bots you can replicate

somebody's voice and create a voice

cloning uh kind of

model customers that can be done but

techn field May into data analytics into

Data engineering into Data modeling

there is no problem at all especially in

data science and AI yes you need to

learn those skills to add to your

profile right that's all about it in

case you like this video please like

share and subscribe the channel and as I

told every every uh one out of two

videos is going to be a project video

last was one of the project videos that

was launched on the channel which is

related to IPL win prediction if you

haven't seen that please go ahead and

watch it and in the next video we shall

be coming up with the fascinating new

project that's all about it see you in

the next video till then

[Music]

bye-bye