AI will replace Data Analysts in 2024!!
Summary
TLDRIn 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
📚 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.
🚀 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.
Mindmap
Keywords
💡AI
💡Data Analysts
💡Machine Learning
💡Generative AI
💡Large Language Models (LLMs)
💡Data Science
💡Upskilling
💡eBooks
💡Productivity
💡Core Concepts
💡Data Modeling
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
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