I Actually asked ChatGPT about this and this is what it said: " While it's true that artificial intelligence (AI) and machine learning (ML) have the potential to automate certain tasks performed by data analysts, it's unlikely that they will completely replace the need for human analysts. Data analysis requires not just the ability to crunch numbers, but also to interpret and draw insights from data. Human analysts bring a level of context, intuition, and creativity to the process that machines can't replicate. They can also handle the more complex and ambiguous tasks that machines aren't yet capable of. Moreover, while AI and ML can automate some parts of the data analysis process, they still require human input and oversight to ensure that the results are accurate and relevant. In fact, data analysts can leverage these tools to enhance their work and make better decisions. Overall, it's more likely that AI and ML will augment rather than replace the role of data analysts, allowing them to focus on more complex and high-value tasks." Just to be sure, I had a couple of follow up questions: Me: "Are you sure about that? I'm currently studying to be a data analyst and you would make me cry if I ended up devoting a lot of time only to learn later that finding an entry-level job has become almost impossible because of AI." ChatGPT: "I understand your concern, but it's important to keep in mind that the widespread adoption of AI and automation technologies in the workforce is a gradual process that will take time to fully develop. While it's true that AI and ML have the potential to automate certain aspects of data analysis, they cannot replace the unique human abilities of critical thinking, creativity, and context that are essential for making sense of complex data sets. In fact, the increasing use of AI and automation in data analysis is likely to create new opportunities for data analysts, as they will be needed to oversee and manage these technologies, interpret the results they produce, and apply them to real-world problems. It's also worth noting that AI and automation technologies are not foolproof and can produce inaccurate results if they are not properly designed and implemented. This is why the role of human oversight and validation will remain critical for ensuring the accuracy and reliability of data analysis. So while the field of data analysis may evolve as a result of AI and automation, it's unlikely that these technologies will make the role of data analysts obsolete. With the right skills and training, there should still be ample opportunities for data analysts in the years to come." Me: "Maybe you just don't want to hurt my feelings." ChatGPT: "As an AI language model, I don't have feelings, but I understand your concern. I can assure you that the role of data analysts is still highly valued and in demand across many industries. While AI and automation may change the nature of the job, they are unlikely to replace it entirely. In fact, the rise of AI and automation technologies is creating new opportunities for data analysts who can leverage these tools to perform more complex analysis and gain new insights from data. Data analysts who are able to adapt to new technologies and continue to develop their skills will be well-positioned to thrive in the evolving field of data analysis. Ultimately, it's important to approach your career with a growth mindset and remain open to learning new skills and adapting to change. With hard work and dedication, you can build a successful career as a data analyst, even in the face of technological advancements." Me: "Okay. If I ever get a job as a data analyst, we'll go out and I'll buy you a beer." ChatGPT: "As an AI language model, I don't drink beer, but I appreciate the sentiment! I'm always here to help you with any questions you may have, so feel free to reach out anytime. Good luck with your studies and future career as a data analyst!" 🤣😂😅
@@rishabhsharma2328 Yeah, I also noticed that when I asked it to write an article about game two of the 1st round playoff series between the Lakers and the Grizzlies. Instead of writing about the game that was played yesterday, it made reference to a game between the two teams which actually occurred in 2021. But still, it produced an easy-to-read article and it was really impressive.
Repetitive tasks can already be automated using scripts and AI can do critical thinking. The biggest challenge is dealing with dirty and inaccurate data, which requires actually contacting stakeholders to figure out what’s going on. That’ll probably be quite tough to automate.
Exactly as a data analyst at a nonprofit i would spend so much time talking to case managers inputting data to understand the whole process which always helped when explaining limitations to managers. The analysis part is straightforward but applying it in a responsible way takes much more. Anyone can hand you some graphs but it's putting it in context that matters most
I would like to add one more point which is fairness. Let's say that Chat GPT or some other AI have eaten all the DA jobs but all of their work will be around data and since they will work only on data and if data is not fair then their outcome of analysis will also not be fair for everyone and I think this is one of the biggest reason that they won't completely eat this job maybe few sections but not whole job. Also Chat GPT still doesn't have clear understanding on all concept. He do tons of mistakes while writting a code.
I don't think Analyst jobs will be mostly replaced by machines. Instead, AI can boost the analytics function and the analyst can focus more on analyzing the data and better communicate with others instead of spending tons of time processing data.
I'm in Tech Sales, I feel more comfortable that sales won't be replaced because no one likes to buy from a robot. I started Data Analysis but now feel unsure
As someone who has started the certifications, it is very scary as it seems those repetitive tasks that are being replaced are the entry positions, meaning the door is often closed. Wondering if I made the right choice.
I reckon understanding how to do those repetitive tasks is useful for testing (validating) what GPT spits out. Because these language models do make a lot of stuff up, you sort of need an eye to spot when they've messed up and gone off the deep end.
As you have started now. I will suggest you to parallel learn how and what things AI is automating or used in your field. It's that saying, People will loose job to AI but the ones who learn how to use AI(softwares/tools) in their field won't. Best of luck brother.
I'm only staring my pathway in Data Analytics, but as someone who studied Translation I can say that yes, many things may become automated, but there is always a need for a human who could revise the work, check errors and replace/add certain things. It's true that this might change in a few decades as well, but for now translators have nothing to worry about, despite the wide availability of all sort of translation machines
No sarcasm, just want to discuss: for the example in the video, why there will even be a “Jessica” role if the business stakeholder can simply pull out the data and analyze it themselves to find problems and improve product? I often think the reason why data analyst exist as a role is because the process of getting data ready to be analysed is too much for business stakeholders. Therefore companies hire data analyst. But if AI makes analysing big amounts of data as easy as using Excel to analyse 100 rows, then why can’t stakeholders do it by themselves? I’m just a student learning analytics but I always wonder why we all say picking insights from data is the job for data analyst, not the business stakeholders who are actually directly responsible for the end result? Please correct me if you think I’m wrong. Lots of anxiety after the launching of code interpreter
AI tools are hitting hard on content writers though it doesn’t mean writers jobs are gone. Similarly, AI can help automate things in data analyst but the whole profession can’t be scrapped. It’s definitely a different and more modern ways to do data analytics with AI. All the data analysts must do this transition as quick as possible and learn, adopt new tech to make it works for you.
The writers jobs are not gone, as a profession. But because there are a lot of automated jobs, the need for new writers will be much less. It means, it will be much more difficult to find a job in the near future, and because of the mass of candidates, the salaries will decrease a lot.
I've talked to number of software engineers, developers, system/network/cloud admins and data analysts. It seems that not a single one of them is worried about their job due to rise of AI. The only places where I'm stumbling upon people saying that AI will replace all Tech people are TH-cam and Reddit.
but it is entirely believable that a automating code on a sufficiently sophisticated level is destined to usurp some of those who have careers in software and data analytics. Perhaps those people who said yes to you were speaking about themselves personally, and not in generality. I could see this technology being use to cut teams in half at least
@@chandman492 Sure. I'm just sharing my experience. Since chatGPT was released, I've talked to (to be quite precise) with one software engineer, one web developer, 2 mobile app developers, one system administrator, one data analyst and one data engineer. I've asked every single of them- are you afraid for your job because of rise of AI? Every single one of them was like- nope.
As someone that already works as a developer/analyst....ChatGPT can currently do the majority of my actual coding. And we're just at the beginning of this. Anyone that says they aren't worried about their job being automated away is either lying or delusional.
@@Squatch_11 You're working as both developer and analyst? Wow, you're certainly unique. I've never in my life heard that someone is working as a developer/analyst.
A few years ago, a notion was common that Tesla's self driving trucks are around the horizon and they will replace truckers by automating their jobs and one should learn to code as programming will be the most future proof work. But now with these 'evolving' language models, I assume that office desk jobs that requires human intellect for data processing, be it programming, server administration, or anything involving digital information, will be the most vulnerable than the manual labour jobs like trucking. I fear we still haven't yet fully realized what major implications AI can have in the coming few years, especially with the phenomena of emergent abilities and AGI.
Studies actually say the complete opposite they place Data analytics, Data Scientists and Machine Learning jobs will grow tremendously in the next years thanks to AI around 40-50%. The data driven companies will rise immensely and AI won’t replace this workers, works who use AI will replace this workers and more jobs will actually be created.
OMG! I studied petroleum engineering bsc. I was planning to switch my career to data analyst. Now it has potential to be replaced by AI. Petroleum industry also has potential to be fully replaced by renewable energy. What is wrong with me
In the 19 years, I have been working with data, I have always seen new tools that can automate repetitive tasks. I agree, upskilling, is important and is a way of life for a data analyst. Never stop learning. I believe AI will encourage us to explore more and be better at our professions.
What you are saying is right, and your silence on the statement of losing jobs would indicate to me that you do believe ai processing and analysis automation is going to wipe out jobs. Upstream people will be asked to Upskill using the AI tools so that downstream people can be fired!
This news lately 😂 ... We will see some automation in daily tasks across the industry, but it will vary for different roles. For example, in backend software engineering, it's important to start experimenting with machine learning technologies and "AI" to implement CI/CD, recommendations, deployment etc., on top of projects, similar to how you would add AWS infrastructure on top of a project. I have been using CUDA for quite some time now, even before tools like ChatGPT were popular. My point is, if we want to stay ahead of the curve, we need to learn these technologies and even build our own tools (nothing fancy about that). After all, some technologies are already a few years old. Data analysts have always used existing tools, so for them, it's common sense to use existing AI tools to improve productivity. It will not replace them, but rather enhance their roles.
Those people who are worried in the comment section no need to worry at all .. whether this is data analytics or software eng or web devs ...nothing is gonna happen . I believe most of the coders used stackoverflow which was the best tool for productivity while working and they have shifted to chatgpt which is just stackoverflow on steroids. So continue with your work this is just a hype created.
@@harisseyassine8483 thanks man chatgpt and other ai apps seems to be just a tool the hype is same as what i saw that when calculator was invented they said accountant jobs will be in trouble. And we know accountants still exists 😉
If current engineers and developers are able to dramatically increase their work output due to improved efficiency, then while the role itself may still exist, fewer humans are needed to carry out the tasks. Teams will be able to be much leaner
You are partly right. This is A LOT of hype. And also true: they say that chatgpt has reached more than 100 million users at a record time, but they do not say how many of these users just used it once or twice, how many just tried it for fun, how many used it just to try how it works... The programmers are using it, 99% of the time to solve simple questions that before they had to look for in Google, or ask about it in Stack Overflow. While programming, it just saved me time looking for some really difficult questions, and that's all. BUT, at the same time, the most of the companies are employing this hype to substitute workers by AI's. The AI's produces less quality and less specific work, but extremely cheaper. So the companies are testing how to force people to accept less qulity in their productos or services, but have them cheaper. One example is the client services: a couple of years ago, nobody wanted to talk with a robot instead of a person. Now the companies are pulling back, trying we to accept it definitly. In the case of the data analyst, there were already tasks that could be easy automated (that's the case of the daily reports), but they weren't because of the need of an analyst who could decide while checking data. Now, they will pull back to see if they can avoid paying those salaries.
I think AI will replace the entry level roles in data analytics, which is why its so daunting because as entry level analysts (like myself) our first few years will most likely involve repetitive and more simpler tasks that can be done by machines. And the more this happens (i.e the more companies seek out for experienced professionals) the harder it will be to get into the field. Not only that, the barrier of entry will be much higher as well since you have to compete with both other entry level analysts AND ai. People with less than 2- 3 years of experience dont really have the luxury of talking with shareholders and giving insights directly to managers nor are they given that kind of work to do. So, in a way, the entry level analysts are the Jack's of the role, easily replaceable
Get as much experience as you can in delivering projects/change management, even if it’s not close to your job role, see if you can shadow, whoever is responsible for implementing new systems and processes. the true value will come from being able to fill the blindspots between operations and reporting, AI is a long way from figuring that out If you serve as the intermediary between the data team and the operations, finance, commercial, and project teams, and excel at this role, you will become invaluable. Operational and finance professionals often find it challenging to interact with analysts. This difficulty may arise because some analysts, though highly skilled, might be less sociable or possibly fall on the autism spectrum. Conversely, members of operations or finance teams are frequently outgoing and have strong personalities. Hence, the ability to effectively communicate requirements between these two distinct groups remains critical, regardless of whether AI supplants analyst roles in the future, there will always be a job for scoping requirements and implementing systems (data flow/etl/wrangling/dashboards/implementation/ sense checking the machines etc)
@@milkboccle Yep, excellent advice. Making relationships and having a more communication-heavy role will ensure you keep your job as an analyst. I just worry because for the next batches of analysts it will only be tougher to get that first role. Im also thinking of moving into data engineering more, building things has always appealed to me so that might also be another possible route analysts can take given their interests
ChatGPT cannot replace data analysts. Almost on a daily basis, I encounter different types of 'dirty' data that need cleaning, and creative manipulations to make it ready for analysis. If this was the case, data analysis software packages would have already replaced us. Real data analysis requires critical thinking and deep creativity that ChatGPT or any other AI cannot possess.
Hi! I’m about to start a masters in business analytics from a low-ranking university. do you think I’ll have a chance to get hired as an entry-level data analyst after graduating? also I’m an international student in usa so does that lower my chances?? your advice would be super helpful ❤
@@anamunir4173 in the modern world, skills and discipline speak louder than anything else. Just focus on aqcuiring the skill first. There are lots of opportunities for data analysts and data scientists
Well… here is what CHATGPT said when I asked it the same question. No, AI will not replace the need for data analysts, but it will change their roles and responsibilities. While AI can automate some tasks, such as data cleaning and analysis, it cannot replace the critical thinking and decision-making abilities of a human data analyst. Data analysts are responsible for interpreting data, finding patterns, and deriving insights that can help businesses make informed decisions. They also work with stakeholders to define business goals, identify metrics, and design experiments to test hypotheses. AI can assist data analysts in these tasks by providing faster and more accurate data analysis, enabling them to focus on higher-level tasks that require human judgement and expertise. Data analysts can use AI tools to automate routine tasks, such as data cleaning and visualization, and spend more time on tasks that require creativity and problem-solving. In summary, while AI will change the role of data analysts, it will not replace them. Instead, it will complement their skills and enable them to become more effective in their roles.
AI can do critical thinking and problem solving. Literally everything Jassica does AI would be able to do as well. So you're wrong. Both would be automated by AI. I don't understand the denial of humans thinking they are special and that thinking which is the main thing in AI isn't going to be achieved by AI in 5 years. In that much time most jobs in all industries will be automated by AI. People need to accept that. The whole point of AI is that AI is about replicating human thinking and if that is the case it should be capable of doing anything a human can do mentally.
@vectoralphaAI How about fine tuning and maintenance for AI? U think AI has the ability to do that? Does that mean AI can do jobs and make decisions 100% without any errors? if not, your statement will be wrong
This is if AI general intelligence existed, right now bots can do a lot of leg work, but they cannot conceive original ideas or even know what a problem that needs solving looks like from a human perspective, to even get to that level of detail. No one knowledgeable in data interoperation, mathematics or building analytical frameworks could replace a data scientist based on typing prompts into a computer. It just won’t happen.
A common pattern I'm seeing across industries is that work that can be automated, will be automated. How and when to automate seems to be the next logical skillset, and that might lead to expertise in a domain being what you're paid for - the "hours" of work that can be automated will no longer be a part of one's paycheck. All this said, I have no idea where the world is going. It's equal parts exciting and unsettling.
you know where it is going :), panic and react. Your second point is well stated, just that it would be such an ethical dilemma holding on to a job like that.
How and when to automate seems to be the next logical skillset? Literally you writing this using computer which is calculating everything for you and allowing you to send this comment automatically in seconds to the whole world. We're already using a lot of automation in our world.
After watching this video, I'm highly in doubt whether or not should I go for this field as my career path or not. I wanted to apply for masters program in Data Analytics but now I'm doubtful. What new fields are there for career path or should I take the admission 😔
Every single job can be replaced by AI. But one thing that can’t be replaced is human decision-making. Whilst AI can make probably even better decisions, businesses will most likely take more comfort in a human advising a strategy rather than AI. So strategists & decision makers will be where data shifts to I think!
Don't live in that illusion. AI is a better decision maker than most humans. Humans have biases and emotions while AI is totally rational and data driven. At least in decision making, AI is far ahead than humans.
@@dipzyfication I agree completely that AI in time will make statistically way better decisions. But, I believe humans will still at least for the near future still only rely on humans to make actual decisions.
I must say this. why do I find your explanation more understandable? Some of the videos I have seen are in English which was like seeing a Korean drama without subtitles. They are speaking simple English but not understandable. Maybe the presentation is part of it. Anyway, what you pointed out is logical. Loved your video.
FWIW, Jack's job by and large has already been automated with modern reporting solutions like PBI and Tableau. You don't need AI or ML for data process automation. Jessica's role however isn't going anywhere anytime soon.
Most mid-level "executives" drool over pivot tables even though they rarely understand them. They also like having a person to give orders to so they will resist AI and automation as long as possible. At some point the data analysis and reporting will become standardized and automation will follow. The mid-level executives and their lackeys will be replaced by an AI Analytics department (no people, just AI agents). Companies that resist this trend will soon find they aren't as competitive as their progressive competitors .. lightning and thunder, fire and brimstone ... it won't be pretty.
I agree that mid-level executives are resisting AI. During a BI meeting all my team including me were using Chat-GPT but our Director didn’t know anything about it. In fact a month after the meeting an email was sent out explaining how we can not use any company data with AI tools. I don’t believe anyone is sharing company data with AI tools but we are using it to help improve coding scripts that don’t include any company data. My company’s management team is really out of touch with AI and they better get on board.
Great video! Are there really data analysts that have a limited scope like Jack? I am a Business Analyst which includes a significant amount of data analytics. I have been automating more and more of that kind of reporting using Power BI already which frees me up to do more serious analytical tasks as well as the myriad other things a BA does.
The way these tools have helped you have helped me too, this is when the task that is being automated is one of the many tasks that I do or in the case where one of the tasks is done by someone under me and is a major responsibility for them. In the case of the later, they will be losing their job. I will be asked to upskill so that they can be let go.
I don't see the issue. It's still someone who needs to type the command in and look through the data to see if it's correct and make it repricantable. Even if the work can be done through AI, a human needs to monetize it. The work will change, take less time, yes. = less work, but it will still be a demand for it. Before the Internet and data, we had bookkeepers who, for ex, worked with just typing out the numbers in a company on paper. Most of that is computer generated these days, but we still need to monetize it. When AI is becoming robots, however... although, I think that people still are needed for a complete end result.
I think the key point is the responsibility. If a manager uses ChatGPT to produce data analysis, he is the responsible of this product. If he is not an expert in data analysis, he does not know if there is something amiss. It is better to hire a data analyst to check if the outcome of ChatGPT is right and take the responsibility.
As a data engineer these things are already being automated without ChatGPT or other AI models. I strongly disagree with you on everything though. You can’t automate say, a Python or sql script without the controller knowing Python or sql. If you just place a random person without them having knowledge of what the do and replace people with “prompt engineers” companies are going to have a REALLY bad time
Hey man, what are some good jobs / roles which can transition into data engineer? I see people say data analyst and software engineer focusing on backend? Do you agree ?
The thing is that ai won't replace any IT roles but it will reduce the no of people in that role as something which requires 100 dev today may only require 20 dev with the help of ai to achieve the same productivity. This mean less jobs and hence the fear
waiting for this video ever since i asked this question in your last video . big thanks for this video but already there are many ideas suggested by AI which are step ahead of jessica by the time she learn some new skills isn't that correct? it would be relevant if you could make a video on how to use those AI tools
Actually we humans are over thinkers about everything. Just learn what you are learning with passion. Do your best. Don't need to panic and race with others. Its ok you are doing great. Even try to take helps from these AI tools. It will help you in learning and make your job easier. You need to learn how to use AI for your ease at work. don't compare your self with AI. What GOD made is much more expensive than what human made. PS: Also In term of Data Security, Not everyone is comfortable to share confidential data with AI tools. Because in Data field, What important is "Data Security" for big companies.
I ASKED THE SAME QUESTION TO CHATGPT AND THE ANSWER IS AS UNDER: The field of data analysis is being significantly impacted by advancements in artificial intelligence (AI) and automation. While AI has the potential to augment and enhance the work of data analysts, it is unlikely to completely replace their jobs in the foreseeable future. Here are a few reasons for this: Complex Analysis: Data analysis often involves complex problem-solving, pattern recognition, and decision-making, which currently requires human cognitive abilities. AI systems can assist data analysts by automating repetitive tasks, generating insights, and speeding up data processing, but they still rely on human expertise to interpret and apply those insights appropriately. Contextual Understanding: Data analysts possess domain knowledge and contextual understanding that goes beyond statistical analysis. They understand the business objectives, ask relevant questions, and consider broader implications. AI systems lack the contextual understanding and critical thinking abilities to fully replace human analysts in complex decision-making scenarios. Human Judgment: Data analysis involves making judgments, interpreting results, and presenting findings to stakeholders. Human analysts can apply their intuition, creativity, and subjective judgment to draw insights and communicate them effectively. AI systems, while powerful in processing large datasets, often lack the ability to explain their reasoning or incorporate subjective factors. Ethical Considerations: Data analysis often involves sensitive and confidential information. Human analysts are responsible for ensuring ethical data handling practices, maintaining privacy, and addressing potential biases. Trust, accountability, and ethical decision-making require human oversight. However, it is important to note that AI technologies are continually evolving, and their capabilities are advancing rapidly. While complete job replacement is unlikely, certain routine tasks within data analysis may be automated, freeing up analysts to focus on higher-value activities. Data analysts can embrace AI as a tool to enhance their work, acquire new skills in AI and machine learning, and adapt to the changing landscape of the field.
Data Analitic+AI(ML+DL)=Data Science, mean Data Analitic updated version of critical thinking,complexed problem solving is Data Scientist, Data Analyst Advanced version is Data Science won't die
In 2 years Jack and Jassica, both, will lose their job. AI can perform critical analysis faster and better than us, that's what they are made of, how do you think AI is trained?
Hmm, I’m a web developer so it’s not the same however, the process is similar. What you don’t understand is how scary and amazing these AI tools are. Nobody is safe, not even critical thinking and analytical skills will save you, because the AI is self improving and even solving championship mathematics questions. How long do you think humans can keep up? 5 years? There’s a good chance AI will surpass us. Smarter than the smartest human. At the same time, we can use such machines to our advantage to create our own business. There’s opportunities.
Very nice content, precise and to the point. If you can add a little more for critical thinking and analytical part of data analysis with a few more examples that would be very kind. Thanks
Can AI replace Data Analytics This is how AI replied. AI can significantly augment data analytics by automating repetitive tasks, identifying patterns, and making data-driven predictions. However, AI is not expected to replace data analytics entirely. Human expertise is still crucial for interpreting results, making critical decisions, and understanding the broader context of data analysis. The collaboration between AI and data analysts is likely to be the most effective approach, leveraging the strengths of both to unlock valuable insights.
Hi, I have completed my bachelor's in mechanical engineering in 2021 and in 2022, i have completed data analytics course and i didn't get job as fresher in data analyst domain till. i have one question that, what i need to do to get a job.
Your 10 years of experience are meaningless in the face of exponential increase of capabilities of Ai, as is your assumption that Critical Thinking and 'Creativity' are a safehaven for replacement by Ai. This is a kind of 'human exceptionalism' thinking, the idea that Human intelligence has properties that an Ai could never copy. Let me explain. This is the fallacy in reasoning that almost everyone who doesn't think this is actually happening is falling into. Jassica will be replaced just as fast as Jack. The idea that because she needs 'critical thinking' is making her impervious to replacement is a big, big, big mistake. Transformer LLM's are specialized at pattern finding, and they are much better at it than any human, and the pattern finding is the foundation for what you consider 'creativity' because it's that 'creativity' that allows Jassica to find patterns that weren't identified before, which is what makes her good at her job. Thus she will be replaced, because what you think is 'creativity' or 'critical thinking' is actually foundational feature of current generativeAi models, and it scales perfectly with Dataset and computational resources, so it's not a matter of IF but a matter of WHEN. Ai has gone from scoring 26% on Medical Licensing Exam in early 2022 to score 86% in February 2023.. That is nearly 4X increase in performance within 1 year. Human doctors only score a 94% at best, but Ai will score 100% a 100% of the time within a year. Stop denying reality. Stop thinking you're special because you're a sack of meat and water... Ai will replace you. Period. It's not a bad thing. We will have UBI and everyone will be free to pursue their passion, but first economies will collapse.
How AI will 1.clean data 2. Judge which data is more important and what to drop 3. What about report creation 4. Who will judge that AI report is correct and how it's going to give presentation and deal with the client. 5. I AI tried a little complicated python query python codes are given error 😅 So, I my opinion AI will not get our jobs but it going to made our job easy faster and quicker Definitely below avg. ppl will lost there job because of AI
1. Once there is AI in data collection this is none issue. 2. That's the whole point of prompt writing. 3. Totally doable by AI, in text and eventually visuals. 4. If you are using AI you are the client.
I personally think that A. I can make things easy for data analyst and not replacing it... We created technology to make our work easy not to replace... Nothing can replace a human brain... Nothing
Remember, computer is dumb, but diligent. Sure he can do ALL the task that a human can do. But, they can't do it, unless a human tells (or should I said program it) to do the task
I’m learning sql and Python and I feel slow compared to the speed that Ai is advancing. It’s very stressful to try and enter the market at this time. However Your video was very reassuring that I should continue.
Too complicated of a told to be replaced by AI AI will be used to automate repetitive daily process by people who do not know coding AI will not fill replace higher level jobs just help entry level positions with more knowledge So instead of hiring 3 analysts maybe now they only need one
It cannot be automated machine learns from input data and human intelligence intervention makes a difference in terms critical thinking more problem solving oriented and getting upscaled various AI tools will make a differnce
Hi Sundas, I am a great admirer of you, I have been literally like watching your videos since I started my journey into Data science but after evaluation I found that Machine Learning is a Great path for me but I still have a confusion though I read many articles, But I still want to hear from you if I should go for it or not, PLease If possible upload a video sharing your opinion onto this, I would be grateful to hear it from you, "Thank you all the interactive videos" from your well-wisher.
well, AI in this information age is speeding innovations and radical money and power shifts disrupting ‘life and wealth as usual’. it has impacted people lives and their projected stability more than any single leader or politician
What is the point of that? If humans hide from AI then we are really hurting ourselves. We made AI in the first place. AI is our child. What do children do (after they are grown)? They take over the entry level jobs and their parents take on higher level jobs. So, AI will free humans to do higher level jobs. Since we have the benefit of being the creators of AI, we can rest assured that we will always be greater than AI. AI obeys humans. As AI does more and more human jobs, Humans are freed to do new jobs that haven't been done before. AI will make lower-level tasks more efficient, like Ancient Rome's roads made transportation more efficient, and Cars made transportation more efficient still. As long as people continue to seek truth, they will have something to do. As long as we seek life, we won't run out of possibilities to improve. As long as we dream, we cannot lose. Humans are already alive, right? Humans are already going to die, right? What more can we win or lose besides life and death? We have advancements in science that has allowed for modern day technology which seems to make our lives better and easier, because of our pursuit of life and truth. If we cower away from the benefits of AI because we feel we cannot earn a living otherwise, then we are kicking out our own knees, because it is precisely the advancement of knowledge that we were working for to begin with. If our own lives are threatened by AI, then it is because we stopped fighting, not because AI overwhelmed us.
The problem is that 90% of the data analyst job, is what Jack is doing. So it means we will need 10 times less data analysts, and the juniors will be out of the market even before arrive. The companies will not hire almost any new data analyst with less than 3 years of experience for at least the next 5 to 10 years after this automation starts. This is going to be the same for almost any intelectual job, and specially the ones linked to the technology. Governments, educational institutions, those tech "gurus"... where throwing the most inteligent people to study software engineer, web design, data analysis, mathematics... the jobs of the future, they said... and now they will have no job. They just threw to the garbage the most intelligent people from a whole generation.
normal ppl looking for a career: "oh, that job pays *decent* and is interesting" Owner class: *creates AI to replace jobs americans actually want then fires nearly everyone*
In my country there is a surge of adds that sells "earns a lot by becoming a freelance data analysts" tutorial package. And with the recent direction of technology I find it hilarious. Personally I think there are aspects that AI can't be replaced. As a translator myself, companies still doesn't replace us with Google translate because various reasons, including cultural meaning from a word, that is very hard to explain, let alone put it on some automated translator---for now.
It could work if AI general intelligence was a thing (atleast to the general public) & provided it had the sense to think abstractly, dynamically as well as conceive original ideas and possess the cognition to even comprehend what a problem that needs solving looks like from a human perspective, then yeah, AI, has a chance. But for now, a data analyst armed with AI tools, that will be a much more efficient combination. But if data analysts were wiped out tomorrow, people un knowledgeable in the realm of statistics/mathematics typing prompts into an AI, will not cut it, I don’t care how smart or creative you are.
It's won't be that automated because the real world has also his conditions and AI won't cover all even after 200 years especially in different part with different cultures
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💔💔💔💔💔 I am disabled, she is a wounded heart
I so wish you meet you one day!
I am disabled, she is a wounded heart
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@Dark mode .LPM OK
It's not AI that replaces humans. but 1 human who uses AI replaces 10 humans who do not use AI
I Actually asked ChatGPT about this and this is what it said:
" While it's true that artificial intelligence (AI) and machine learning (ML) have the potential to automate certain tasks performed by data analysts, it's unlikely that they will completely replace the need for human analysts.
Data analysis requires not just the ability to crunch numbers, but also to interpret and draw insights from data. Human analysts bring a level of context, intuition, and creativity to the process that machines can't replicate. They can also handle the more complex and ambiguous tasks that machines aren't yet capable of.
Moreover, while AI and ML can automate some parts of the data analysis process, they still require human input and oversight to ensure that the results are accurate and relevant. In fact, data analysts can leverage these tools to enhance their work and make better decisions.
Overall, it's more likely that AI and ML will augment rather than replace the role of data analysts, allowing them to focus on more complex and high-value tasks."
Just to be sure, I had a couple of follow up questions:
Me:
"Are you sure about that? I'm currently studying to be a data analyst and you would make me cry if I ended up devoting a lot of time only to learn later that finding an entry-level job has become almost impossible because of AI."
ChatGPT:
"I understand your concern, but it's important to keep in mind that the widespread adoption of AI and automation technologies in the workforce is a gradual process that will take time to fully develop. While it's true that AI and ML have the potential to automate certain aspects of data analysis, they cannot replace the unique human abilities of critical thinking, creativity, and context that are essential for making sense of complex data sets.
In fact, the increasing use of AI and automation in data analysis is likely to create new opportunities for data analysts, as they will be needed to oversee and manage these technologies, interpret the results they produce, and apply them to real-world problems.
It's also worth noting that AI and automation technologies are not foolproof and can produce inaccurate results if they are not properly designed and implemented. This is why the role of human oversight and validation will remain critical for ensuring the accuracy and reliability of data analysis.
So while the field of data analysis may evolve as a result of AI and automation, it's unlikely that these technologies will make the role of data analysts obsolete. With the right skills and training, there should still be ample opportunities for data analysts in the years to come."
Me:
"Maybe you just don't want to hurt my feelings."
ChatGPT:
"As an AI language model, I don't have feelings, but I understand your concern. I can assure you that the role of data analysts is still highly valued and in demand across many industries. While AI and automation may change the nature of the job, they are unlikely to replace it entirely.
In fact, the rise of AI and automation technologies is creating new opportunities for data analysts who can leverage these tools to perform more complex analysis and gain new insights from data. Data analysts who are able to adapt to new technologies and continue to develop their skills will be well-positioned to thrive in the evolving field of data analysis.
Ultimately, it's important to approach your career with a growth mindset and remain open to learning new skills and adapting to change. With hard work and dedication, you can build a successful career as a data analyst, even in the face of technological advancements."
Me:
"Okay. If I ever get a job as a data analyst, we'll go out and I'll buy you a beer."
ChatGPT:
"As an AI language model, I don't drink beer, but I appreciate the sentiment! I'm always here to help you with any questions you may have, so feel free to reach out anytime. Good luck with your studies and future career as a data analyst!"
🤣😂😅
you should also know that chatgpt has been trained on data till 2021 and not after that. so these answers are sort of outdated and old
@@rishabhsharma2328 Yeah, I also noticed that when I asked it to write an article about game two of the 1st round playoff series between the Lakers and the Grizzlies. Instead of writing about the game that was played yesterday, it made reference to a game between the two teams which actually occurred in 2021. But still, it produced an easy-to-read article and it was really impressive.
I hope you had a beautiful conversation with Chat GPT, Ending was crazy haha.!!
@@GUNNALAVIGNESHCseVelTechChenna It's actually quite scary If you think about all the ways it could be used by all sorts of scammers.
Are you a character from kenshin manga or is that your real name?
Repetitive tasks can already be automated using scripts and AI can do critical thinking. The biggest challenge is dealing with dirty and inaccurate data, which requires actually contacting stakeholders to figure out what’s going on. That’ll probably be quite tough to automate.
Exactly as a data analyst at a nonprofit i would spend so much time talking to case managers inputting data to understand the whole process which always helped when explaining limitations to managers. The analysis part is straightforward but applying it in a responsible way takes much more. Anyone can hand you some graphs but it's putting it in context that matters most
@@alfredc3108 is a bachelors bsc business data analytics worth studying
Exactly, the example she gave for Jack has nothing to do with AI 😅 just simple automation with scripts...
Can we replace data with anything other entity ?
I would like to add one more point which is fairness. Let's say that Chat GPT or some other AI have eaten all the DA jobs but all of their work will be around data and since they will work only on data and if data is not fair then their outcome of analysis will also not be fair for everyone and I think this is one of the biggest reason that they won't completely eat this job maybe few sections but not whole job.
Also Chat GPT still doesn't have clear understanding on all concept. He do tons of mistakes while writting a code.
I don't think Analyst jobs will be mostly replaced by machines. Instead, AI can boost the analytics function and the analyst can focus more on analyzing the data and better communicate with others instead of spending tons of time processing data.
Yes but the repetitive data collection jobs can be reduced only the critical thinking guys will be able to continue.
Many people enjoy doing low end work like data processing.
They will be! Upstream people will be asked to Upskill using the AI tools so that downstream people can be fired!
I'm in Tech Sales, I feel more comfortable that sales won't be replaced because no one likes to buy from a robot. I started Data Analysis but now feel unsure
unless a robot is honest, knows EVERYTHING about the product and provides full data I need on the product...
As someone who has started the certifications, it is very scary as it seems those repetitive tasks that are being replaced are the entry positions, meaning the door is often closed. Wondering if I made the right choice.
I reckon understanding how to do those repetitive tasks is useful for testing (validating) what GPT spits out. Because these language models do make a lot of stuff up, you sort of need an eye to spot when they've messed up and gone off the deep end.
I literally can't deceide on a career path because of this...
_and my Asian family is about to disown me_
@@lavatr8322 Good luck in making your decision. I am 40 so I am already at a huge disadvantage 😅
As you have started now. I will suggest you to parallel learn how and what things AI is automating or used in your field.
It's that saying, People will loose job to AI but the ones who learn how to use AI(softwares/tools) in their field won't.
Best of luck brother.
@@Dark-th4fg I am sorry, but I don't understand your question
I'm only staring my pathway in Data Analytics, but as someone who studied Translation I can say that yes, many things may become automated, but there is always a need for a human who could revise the work, check errors and replace/add certain things. It's true that this might change in a few decades as well, but for now translators have nothing to worry about, despite the wide availability of all sort of translation machines
Translator work with humans and data analyst work with computers and data , so do the math
@@sidahmedmoussaoui5653 All jobs require communicating with humans
the problem is, there'll be less jobs they'll reduce the payment and at the same time there's more people and inflation.
Hi. How are you? Did you land a data analytical job? How many months till you did get it?
No sarcasm, just want to discuss: for the example in the video, why there will even be a “Jessica” role if the business stakeholder can simply pull out the data and analyze it themselves to find problems and improve product?
I often think the reason why data analyst exist as a role is because the process of getting data ready to be analysed is too much for business stakeholders. Therefore companies hire data analyst. But if AI makes analysing big amounts of data as easy as using Excel to analyse 100 rows, then why can’t stakeholders do it by themselves?
I’m just a student learning analytics but I always wonder why we all say picking insights from data is the job for data analyst, not the business stakeholders who are actually directly responsible for the end result?
Please correct me if you think I’m wrong. Lots of anxiety after the launching of code interpreter
The job landscape is always shifting. Studying for a certain career is also about transferable skills and networking!
That’s a great point. It’s all about transferable skills.
AI tools are hitting hard on content writers though it doesn’t mean writers jobs are gone.
Similarly, AI can help automate things in data analyst but the whole profession can’t be scrapped.
It’s definitely a different and more modern ways to do data analytics with AI.
All the data analysts must do this transition as quick as possible and learn, adopt new tech to make it works for you.
The writers jobs are not gone, as a profession. But because there are a lot of automated jobs, the need for new writers will be much less. It means, it will be much more difficult to find a job in the near future, and because of the mass of candidates, the salaries will decrease a lot.
Less people will be required
I've talked to number of software engineers, developers, system/network/cloud admins and data analysts. It seems that not a single one of them is worried about their job due to rise of AI. The only places where I'm stumbling upon people saying that AI will replace all Tech people are TH-cam and Reddit.
but it is entirely believable that a automating code on a sufficiently sophisticated level is destined to usurp some of those who have careers in software and data analytics. Perhaps those people who said yes to you were speaking about themselves personally, and not in generality. I could see this technology being use to cut teams in half at least
@@chandman492 Sure. I'm just sharing my experience. Since chatGPT was released, I've talked to (to be quite precise) with one software engineer, one web developer, 2 mobile app developers, one system administrator, one data analyst and one data engineer. I've asked every single of them- are you afraid for your job because of rise of AI? Every single one of them was like- nope.
As someone that already works as a developer/analyst....ChatGPT can currently do the majority of my actual coding. And we're just at the beginning of this. Anyone that says they aren't worried about their job being automated away is either lying or delusional.
@@Squatch_11 You're working as both developer and analyst? Wow, you're certainly unique. I've never in my life heard that someone is working as a developer/analyst.
Well all those people are wrong because AI will most likely automate all their jobs.
A few years ago, a notion was common that Tesla's self driving trucks are around the horizon and they will replace truckers by automating their jobs and one should learn to code as programming will be the most future proof work. But now with these 'evolving' language models, I assume that office desk jobs that requires human intellect for data processing, be it programming, server administration, or anything involving digital information, will be the most vulnerable than the manual labour jobs like trucking. I fear we still haven't yet fully realized what major implications AI can have in the coming few years, especially with the phenomena of emergent abilities and AGI.
Studies actually say the complete opposite they place Data analytics, Data Scientists and Machine Learning jobs will grow tremendously in the next years thanks to AI around 40-50%. The data driven companies will rise immensely and AI won’t replace this workers, works who use AI will replace this workers and more jobs will actually be created.
OMG! I studied petroleum engineering bsc. I was planning to switch my career to data analyst. Now it has potential to be replaced by AI. Petroleum industry also has potential to be fully replaced by renewable energy. What is wrong with me
In the 19 years, I have been working with data, I have always seen new tools that can automate repetitive tasks. I agree, upskilling, is important and is a way of life for a data analyst. Never stop learning. I believe AI will encourage us to explore more and be better at our professions.
What you are saying is right, and your silence on the statement of losing jobs would indicate to me that you do believe ai processing and analysis automation is going to wipe out jobs. Upstream people will be asked to Upskill using the AI tools so that downstream people can be fired!
This news lately 😂 ... We will see some automation in daily tasks across the industry, but it will vary for different roles. For example, in backend software engineering, it's important to start experimenting with machine learning technologies and "AI" to implement CI/CD, recommendations, deployment etc., on top of projects, similar to how you would add AWS infrastructure on top of a project. I have been using CUDA for quite some time now, even before tools like ChatGPT were popular. My point is, if we want to stay ahead of the curve, we need to learn these technologies and even build our own tools (nothing fancy about that). After all, some technologies are already a few years old. Data analysts have always used existing tools, so for them, it's common sense to use existing AI tools to improve productivity. It will not replace them, but rather enhance their roles.
I completely agree! Couldn't have said it better!
Those people who are worried in the comment section no need to worry at all .. whether this is data analytics or software eng or web devs ...nothing is gonna happen . I believe most of the coders used stackoverflow which was the best tool for productivity while working and they have shifted to chatgpt which is just stackoverflow on steroids. So continue with your work this is just a hype created.
really well said!
@@harisseyassine8483 thanks man chatgpt and other ai apps seems to be just a tool the hype is same as what i saw that when calculator was invented they said accountant jobs will be in trouble. And we know accountants still exists 😉
If current engineers and developers are able to dramatically increase their work output due to improved efficiency, then while the role itself may still exist, fewer humans are needed to carry out the tasks. Teams will be able to be much leaner
You are partly right. This is A LOT of hype. And also true: they say that chatgpt has reached more than 100 million users at a record time, but they do not say how many of these users just used it once or twice, how many just tried it for fun, how many used it just to try how it works... The programmers are using it, 99% of the time to solve simple questions that before they had to look for in Google, or ask about it in Stack Overflow. While programming, it just saved me time looking for some really difficult questions, and that's all.
BUT, at the same time, the most of the companies are employing this hype to substitute workers by AI's. The AI's produces less quality and less specific work, but extremely cheaper. So the companies are testing how to force people to accept less qulity in their productos or services, but have them cheaper. One example is the client services: a couple of years ago, nobody wanted to talk with a robot instead of a person. Now the companies are pulling back, trying we to accept it definitly.
In the case of the data analyst, there were already tasks that could be easy automated (that's the case of the daily reports), but they weren't because of the need of an analyst who could decide while checking data. Now, they will pull back to see if they can avoid paying those salaries.
I think lotof jobs overall in data and tech could be replaced by AI but governments and tech will let the people adapt slowly to a new job situation
So what kind of 'new' job situations do you think tech people might transition to?
I think AI will replace the entry level roles in data analytics, which is why its so daunting because as entry level analysts (like myself) our first few years will most likely involve repetitive and more simpler tasks that can be done by machines. And the more this happens (i.e the more companies seek out for experienced professionals) the harder it will be to get into the field. Not only that, the barrier of entry will be much higher as well since you have to compete with both other entry level analysts AND ai. People with less than 2- 3 years of experience dont really have the luxury of talking with shareholders and giving insights directly to managers nor are they given that kind of work to do. So, in a way, the entry level analysts are the Jack's of the role, easily replaceable
Get as much experience as you can in delivering projects/change management, even if it’s not close to your job role, see if you can shadow, whoever is responsible for implementing new systems and processes. the true value will come from being able to fill the blindspots between operations and reporting, AI is a long way from figuring that out
If you serve as the intermediary between the data team and the operations, finance, commercial, and project teams, and excel at this role, you will become invaluable. Operational and finance professionals often find it challenging to interact with analysts. This difficulty may arise because some analysts, though highly skilled, might be less sociable or possibly fall on the autism spectrum. Conversely, members of operations or finance teams are frequently outgoing and have strong personalities. Hence, the ability to effectively communicate requirements between these two distinct groups remains critical, regardless of whether AI supplants analyst roles in the future, there will always be a job for scoping requirements and implementing systems (data flow/etl/wrangling/dashboards/implementation/ sense checking the machines etc)
@@milkboccle Yep, excellent advice. Making relationships and having a more communication-heavy role will ensure you keep your job as an analyst. I just worry because for the next batches of analysts it will only be tougher to get that first role.
Im also thinking of moving into data engineering more, building things has always appealed to me so that might also be another possible route analysts can take given their interests
Good to see you are aware. Good luck.
ChatGPT cannot replace data analysts. Almost on a daily basis, I encounter different types of 'dirty' data that need cleaning, and creative manipulations to make it ready for analysis. If this was the case, data analysis software packages would have already replaced us. Real data analysis requires critical thinking and deep creativity that ChatGPT or any other AI cannot possess.
Hi! I’m about to start a masters in business analytics from a low-ranking university. do you think I’ll have a chance to get hired as an entry-level data analyst after graduating? also I’m an international student in usa so does that lower my chances?? your advice would be super helpful ❤
@@anamunir4173 in the modern world, skills and discipline speak louder than anything else. Just focus on aqcuiring the skill first. There are lots of opportunities for data analysts and data scientists
Well… here is what CHATGPT said when I asked it the same question. No, AI will not replace the need for data analysts, but it will change their roles and responsibilities. While AI can automate some tasks, such as data cleaning and analysis, it cannot replace the critical thinking and decision-making abilities of a human data analyst.
Data analysts are responsible for interpreting data, finding patterns, and deriving insights that can help businesses make informed decisions. They also work with stakeholders to define business goals, identify metrics, and design experiments to test hypotheses.
AI can assist data analysts in these tasks by providing faster and more accurate data analysis, enabling them to focus on higher-level tasks that require human judgement and expertise. Data analysts can use AI tools to automate routine tasks, such as data cleaning and visualization, and spend more time on tasks that require creativity and problem-solving.
In summary, while AI will change the role of data analysts, it will not replace them. Instead, it will complement their skills and enable them to become more effective in their roles.
AI can do critical thinking and problem solving. Literally everything Jassica does AI would be able to do as well. So you're wrong. Both would be automated by AI. I don't understand the denial of humans thinking they are special and that thinking which is the main thing in AI isn't going to be achieved by AI in 5 years. In that much time most jobs in all industries will be automated by AI. People need to accept that. The whole point of AI is that AI is about replicating human thinking and if that is the case it should be capable of doing anything a human can do mentally.
They’re underestimating what’s coming
Based on your logic, there is not jobs that won't be replaced by AI. 😂
@@kwokhochoy8660 yes that is correct knowledge. Eventually all jobs will be automated by AI
@vectoralphaAI How about fine tuning and maintenance for AI? U think AI has the ability to do that? Does that mean AI can do jobs and make decisions 100% without any errors? if not, your statement will be wrong
This is if AI general intelligence existed, right now bots can do a lot of leg work, but they cannot conceive original ideas or even know what a problem that needs solving looks like from a human perspective, to even get to that level of detail. No one knowledgeable in data interoperation, mathematics or building analytical frameworks could replace a data scientist based on typing prompts into a computer. It just won’t happen.
A common pattern I'm seeing across industries is that work that can be automated, will be automated. How and when to automate seems to be the next logical skillset, and that might lead to expertise in a domain being what you're paid for - the "hours" of work that can be automated will no longer be a part of one's paycheck. All this said, I have no idea where the world is going. It's equal parts exciting and unsettling.
you know where it is going :), panic and react. Your second point is well stated, just that it would be such an ethical dilemma holding on to a job like that.
How and when to automate seems to be the next logical skillset? Literally you writing this using computer which is calculating everything for you and allowing you to send this comment automatically in seconds to the whole world. We're already using a lot of automation in our world.
unfortunately you are incorrect. jobs requiring critical thinking will ALSO be automated by AI. all jobs will disappear shortly after AGI emerges.
It may take 30 to 50 years to completely replace us humans.
If you say so, Nostradamus.
@@matt_milack AI is still an 8 year old child. Once it became a strong machine, no one will have anything. We will be lost in cities.
@@badaramir24 If you can see the future, why don't you buy a lottery ticket and become a millionaire this week?
@@matt_milack I don't see future. I am a .Net Developer. Now I am learning AI. That's why I know a little bit.
After watching this video, I'm highly in doubt whether or not should I go for this field as my career path or not. I wanted to apply for masters program in Data Analytics but now I'm doubtful. What new fields are there for career path or should I take the admission 😔
Every single job can be replaced by AI. But one thing that can’t be replaced is human decision-making. Whilst AI can make probably even better decisions, businesses will most likely take more comfort in a human advising a strategy rather than AI. So strategists & decision makers will be where data shifts to I think!
I completely agree! AI is just a machine. It only computes and calculates based on a specific algorithm. It is NOT a human.
There is a module in AI for that too my friend 👌👌
Set rules based on parameters
Don't live in that illusion. AI is a better decision maker than most humans. Humans have biases and emotions while AI is totally rational and data driven. At least in decision making, AI is far ahead than humans.
@@dipzyfication I agree completely that AI in time will make statistically way better decisions. But, I believe humans will still at least for the near future still only rely on humans to make actual decisions.
I must say this. why do I find your explanation more understandable? Some of the videos I have seen are in English which was like seeing a Korean drama without subtitles. They are speaking simple English but not understandable. Maybe the presentation is part of it. Anyway, what you pointed out is logical. Loved your video.
Jack and Jessica - siblings 🤣 Great video!
Hahah brother and sister 😂 thank you!
FWIW, Jack's job by and large has already been automated with modern reporting solutions like PBI and Tableau. You don't need AI or ML for data process automation. Jessica's role however isn't going anywhere anytime soon.
What about Julius AI?
Most mid-level "executives" drool over pivot tables even though they rarely understand them. They also like having a person to give orders to so they will resist AI and automation as long as possible. At some point the data analysis and reporting will become standardized and automation will follow. The mid-level executives and their lackeys will be replaced by an AI Analytics department (no people, just AI agents). Companies that resist this trend will soon find they aren't as competitive as their progressive competitors .. lightning and thunder, fire and brimstone ... it won't be pretty.
I agree that mid-level executives are resisting AI. During a BI meeting all my team including me were using Chat-GPT but our Director didn’t know anything about it. In fact a month after the meeting an email was sent out explaining how we can not use any company data with AI tools. I don’t believe anyone is sharing company data with AI tools but we are using it to help improve coding scripts that don’t include any company data. My company’s management team is really out of touch with AI and they better get on board.
Great video! Are there really data analysts that have a limited scope like Jack? I am a Business Analyst which includes a significant amount of data analytics. I have been automating more and more of that kind of reporting using Power BI already which frees me up to do more serious analytical tasks as well as the myriad other things a BA does.
The way these tools have helped you have helped me too, this is when the task that is being automated is one of the many tasks that I do or in the case where one of the tasks is done by someone under me and is a major responsibility for them. In the case of the later, they will be losing their job. I will be asked to upskill so that they can be let go.
I don't see the issue. It's still someone who needs to type the command in and look through the data to see if it's correct and make it repricantable. Even if the work can be done through AI, a human needs to monetize it. The work will change, take less time, yes. = less work, but it will still be a demand for it. Before the Internet and data, we had bookkeepers who, for ex, worked with just typing out the numbers in a company on paper. Most of that is computer generated these days, but we still need to monetize it. When AI is becoming robots, however... although, I think that people still are needed for a complete end result.
Indeed. Ai can’t tell an email is wrong by 1 digit or letter because the database itself in has it stored
That way, because that’s what people put in
I think the key point is the responsibility. If a manager uses ChatGPT to produce data analysis, he is the responsible of this product. If he is not an expert in data analysis, he does not know if there is something amiss. It is better to hire a data analyst to check if the outcome of ChatGPT is right and take the responsibility.
ai indeed will replace the data analyst and we as a team working on it
As a data engineer these things are already being automated without ChatGPT or other AI models.
I strongly disagree with you on everything though.
You can’t automate say, a Python or sql script without the controller knowing Python or sql.
If you just place a random person without them having knowledge of what the do and replace people with “prompt engineers” companies are going to have a REALLY bad time
hello brother, I have 2 year left in University for CS degree, do you think data engineering is good career?
Hey man, what are some good jobs / roles which can transition into data engineer? I see people say data analyst and software engineer focusing on backend? Do you agree ?
@@jonte7789hello bro which specialisation did u take and how are you doing
There would still be a need for people who can use AI to do those tasks using AI.
AI cannot do contexualization.
Hi..... Is it possible to secure a remote job as a Data analyst?
The thing is that ai won't replace any IT roles but it will reduce the no of people in that role as something which requires 100 dev today may only require 20 dev with the help of ai to achieve the same productivity. This mean less jobs and hence the fear
waiting for this video ever since i asked this question in your last video .
big thanks for this video
but already there are many ideas suggested by AI which are step ahead of jessica by the time she learn some new skills isn't that correct?
it would be relevant if you could make a video on how to use those AI tools
Actually we humans are over thinkers about everything. Just learn what you are learning with passion. Do your best. Don't need to panic and race with others. Its ok you are doing great. Even try to take helps from these AI tools. It will help you in learning and make your job easier. You need to learn how to use AI for your ease at work. don't compare your self with AI. What GOD made is much more expensive than what human made.
PS: Also In term of Data Security, Not everyone is comfortable to share confidential data with AI tools. Because in Data field, What important is "Data Security" for big companies.
This is just what am looking for, God bless you.
I ASKED THE SAME QUESTION TO CHATGPT AND THE ANSWER IS AS UNDER:
The field of data analysis is being significantly impacted by advancements in artificial intelligence (AI) and automation. While AI has the potential to augment and enhance the work of data analysts, it is unlikely to completely replace their jobs in the foreseeable future. Here are a few reasons for this:
Complex Analysis: Data analysis often involves complex problem-solving, pattern recognition, and decision-making, which currently requires human cognitive abilities. AI systems can assist data analysts by automating repetitive tasks, generating insights, and speeding up data processing, but they still rely on human expertise to interpret and apply those insights appropriately.
Contextual Understanding: Data analysts possess domain knowledge and contextual understanding that goes beyond statistical analysis. They understand the business objectives, ask relevant questions, and consider broader implications. AI systems lack the contextual understanding and critical thinking abilities to fully replace human analysts in complex decision-making scenarios.
Human Judgment: Data analysis involves making judgments, interpreting results, and presenting findings to stakeholders. Human analysts can apply their intuition, creativity, and subjective judgment to draw insights and communicate them effectively. AI systems, while powerful in processing large datasets, often lack the ability to explain their reasoning or incorporate subjective factors.
Ethical Considerations: Data analysis often involves sensitive and confidential information. Human analysts are responsible for ensuring ethical data handling practices, maintaining privacy, and addressing potential biases. Trust, accountability, and ethical decision-making require human oversight.
However, it is important to note that AI technologies are continually evolving, and their capabilities are advancing rapidly. While complete job replacement is unlikely, certain routine tasks within data analysis may be automated, freeing up analysts to focus on higher-value activities. Data analysts can embrace AI as a tool to enhance their work, acquire new skills in AI and machine learning, and adapt to the changing landscape of the field.
I am trying to switch toward an analyst role, I am hoping I can get ahead with the AI tools.
Please do you think it will replace front end Development and machine learning?
For someone just thinking to change carrer, basecally, are you saying a "business analyst" will not get replaced but a data analyst will?
FiveTran didn't eliminate those $150-200K data engineering jobs.
Data Analitic+AI(ML+DL)=Data Science, mean Data Analitic updated version of critical thinking,complexed problem solving is Data Scientist, Data Analyst Advanced version is Data Science won't die
Can you please suggest which are the best coding languages and please suggest some books or channels to get hands dirty on statistics
In 2 years Jack and Jassica, both, will lose their job. AI can perform critical analysis faster and better than us, that's what they are made of, how do you think AI is trained?
"A.I. and/or automation won't be able to do my job" = delusional, just give it time
Hmm, I’m a web developer so it’s not the same however, the process is similar. What you don’t understand is how scary and amazing these AI tools are. Nobody is safe, not even critical thinking and analytical skills will save you, because the AI is self improving and even solving championship mathematics questions. How long do you think humans can keep up? 5 years? There’s a good chance AI will surpass us. Smarter than the smartest human. At the same time, we can use such machines to our advantage to create our own business. There’s opportunities.
Ai is not like the human brain like planes are not like birds
No, you are absolutely wrong!!
I guess for someone concern about AI, the best option is Data Science, because all the maths and critical thinking the career involve.
Very nice content, precise and to the point. If you can add a little more for critical thinking and analytical part of data analysis with a few more examples that would be very kind. Thanks
Thanks for putting this together and sharing too. Good insight great value 😊
Hey hi
How Excel are important for data analytics
And give a which topic are more important
Can AI replace Data Analytics
This is how AI replied.
AI can significantly augment data analytics by automating repetitive tasks, identifying patterns, and making data-driven predictions. However, AI is not expected to replace data analytics entirely. Human expertise is still crucial for interpreting results, making critical decisions, and understanding the broader context of data analysis. The collaboration between AI and data analysts is likely to be the most effective approach, leveraging the strengths of both to unlock valuable insights.
IBM décidé to replace jobs in IT support par AI
Hi, I have completed my bachelor's in mechanical engineering in 2021 and in 2022, i have completed data analytics course and i didn't get job as fresher in data analyst domain till. i have one question that, what i need to do to get a job.
how to get job in this field as a fresher?
Would salary decrease?
What about data engineering they also replace by AI?
They are going to be replaced by something else (not AI). I will cover that in a YT short.
1:09 Jack left the chat..
Your 10 years of experience are meaningless in the face of exponential increase of capabilities of Ai, as is your assumption that Critical Thinking and 'Creativity' are a safehaven for replacement by Ai. This is a kind of 'human exceptionalism' thinking, the idea that Human intelligence has properties that an Ai could never copy. Let me explain.
This is the fallacy in reasoning that almost everyone who doesn't think this is actually happening is falling into. Jassica will be replaced just as fast as Jack. The idea that because she needs 'critical thinking' is making her impervious to replacement is a big, big, big mistake.
Transformer LLM's are specialized at pattern finding, and they are much better at it than any human, and the pattern finding is the foundation for what you consider 'creativity' because it's that 'creativity' that allows Jassica to find patterns that weren't identified before, which is what makes her good at her job.
Thus she will be replaced, because what you think is 'creativity' or 'critical thinking' is actually foundational feature of current generativeAi models, and it scales perfectly with Dataset and computational resources, so it's not a matter of IF but a matter of WHEN.
Ai has gone from scoring 26% on Medical Licensing Exam in early 2022 to score 86% in February 2023.. That is nearly 4X increase in performance within 1 year.
Human doctors only score a 94% at best, but Ai will score 100% a 100% of the time within a year.
Stop denying reality. Stop thinking you're special because you're a sack of meat and water... Ai will replace you. Period.
It's not a bad thing. We will have UBI and everyone will be free to pursue their passion, but first economies will collapse.
Have you ever used MySQL? I always have issues with the installation process. Thought I’d ask
I'm uing mysql and I haven't had any issue with it until now
@@NgocNguyen-bg9fy what are you encountering? Also during installation did you have to setup workbench as well?
Skip visual studio and connectors during installation. You should be fine
How AI will
1.clean data
2. Judge which data is more important and what to drop
3. What about report creation
4. Who will judge that AI report is correct and how it's going to give presentation and deal with the client.
5. I AI tried a little complicated python query python codes are given error 😅
So, I my opinion AI will not get our jobs but it going to made our job easy faster and quicker
Definitely below avg. ppl will lost there job because of AI
1. Once there is AI in data collection this is none issue.
2. That's the whole point of prompt writing.
3. Totally doable by AI, in text and eventually visuals.
4. If you are using AI you are the client.
I think data entry jobs will effect first then data analyst entry level jobs.
I personally think that A. I can make things easy for data analyst and not replacing it... We created technology to make our work easy not to replace... Nothing can replace a human brain... Nothing
In your hypothetical scenario, automation should have replaced Jack years back. I am not sure how he still has a job.
Thanks for doing this, I am just starting my journey as a D. A.
Not possible... I am sure.. 2030 to 2050 data scientist Era
Remember, computer is dumb, but diligent. Sure he can do ALL the task that a human can do. But, they can't do it, unless a human tells (or should I said program it) to do the task
I am just shifting in IT and why this chatgpt has to already take away the jobs😢
Same 😭
You have provided an insight, I learned a lot today, Thank you!
I’m learning sql and Python and I feel slow compared to the speed that Ai is advancing. It’s very stressful to try and enter the market at this time. However Your video was very reassuring that I should continue.
Use AI to learn both languages!
@@bobbyroush3511 how can I learn ?.. and what's the way
Can you please guide me
what about data science. is it going to be automated again?
What do you think of data engineer in ai era ?
Too complicated of a told to be replaced by AI
AI will be used to automate repetitive daily process by people who do not know coding
AI will not fill replace higher level jobs just help entry level positions with more knowledge
So instead of hiring 3 analysts maybe now they only need one
Why do we still want to learn coding if ChatGPT could do it for us?
Great video Sundas - completely agree with you.
Me subscribing your channel too😂😂😂
Thanks, Vivian!
Ricky is glad that Jessica doesn't lose the job😂😂😂
😂😂😂
The fact is ChatGPT is extremely truthful.
In 50 years? Maybe, in the meantime they demand will grow very quickly.
Microsoft power bi VS Microsoft 365 copilot
I think you mistyped your name. It should be Sundus.
It cannot be automated machine learns from input data and human intelligence intervention makes a difference in terms critical thinking more problem solving oriented and getting upscaled various AI tools will make a differnce
If we fear AI, then it is because we stopped fighting, not because AI overwhelmed us.
AI is the servant of mankind.
Hi Sundas, I am a great admirer of you, I have been literally like watching your videos since I started my journey into Data science but after evaluation I found that Machine Learning is a Great path for me but I still have a confusion though I read many articles, But I still want to hear from you if I should go for it or not, PLease If possible upload a video sharing your opinion onto this, I would be grateful to hear it from you, "Thank you all the interactive videos" from your well-wisher.
well, AI in this information age is speeding innovations and radical money and power shifts disrupting ‘life and wealth as usual’. it has impacted people lives and their projected stability more than any single leader or politician
Legislation needs to be passed preventing AI from wiping out jobs.
What is the point of that? If humans hide from AI then we are really hurting ourselves. We made AI in the first place. AI is our child.
What do children do (after they are grown)? They take over the entry level jobs and their parents take on higher level jobs. So, AI will free humans to do higher level jobs.
Since we have the benefit of being the creators of AI, we can rest assured that we will always be greater than AI. AI obeys humans. As AI does more and more human jobs, Humans are freed to do new jobs that haven't been done before.
AI will make lower-level tasks more efficient, like Ancient Rome's roads made transportation more efficient, and Cars made transportation more efficient still.
As long as people continue to seek truth, they will have something to do. As long as we seek life, we won't run out of possibilities to improve.
As long as we dream, we cannot lose. Humans are already alive, right? Humans are already going to die, right? What more can we win or lose besides life and death?
We have advancements in science that has allowed for modern day technology which seems to make our lives better and easier, because of our pursuit of life and truth. If we cower away from the benefits of AI because we feel we cannot earn a living otherwise, then we are kicking out our own knees, because it is precisely the advancement of knowledge that we were working for to begin with.
If our own lives are threatened by AI, then it is because we stopped fighting, not because AI overwhelmed us.
You're the best, thank you. This is very helpful for me.
The problem is that 90% of the data analyst job, is what Jack is doing. So it means we will need 10 times less data analysts, and the juniors will be out of the market even before arrive. The companies will not hire almost any new data analyst with less than 3 years of experience for at least the next 5 to 10 years after this automation starts.
This is going to be the same for almost any intelectual job, and specially the ones linked to the technology. Governments, educational institutions, those tech "gurus"... where throwing the most inteligent people to study software engineer, web design, data analysis, mathematics... the jobs of the future, they said... and now they will have no job. They just threw to the garbage the most intelligent people from a whole generation.
Thank you for posting this helpful video
normal ppl looking for a career: "oh, that job pays *decent* and is interesting"
Owner class: *creates AI to replace jobs americans actually want then fires nearly everyone*
In my country there is a surge of adds that sells "earns a lot by becoming a freelance data analysts" tutorial package.
And with the recent direction of technology I find it hilarious.
Personally I think there are aspects that AI can't be replaced. As a translator myself, companies still doesn't replace us with Google translate because various reasons, including cultural meaning from a word, that is very hard to explain, let alone put it on some automated translator---for now.
if it is so good, ask it.
It could work if AI general intelligence was a thing (atleast to the general public) & provided it had the sense to think abstractly, dynamically as well as conceive original ideas and possess the cognition to even comprehend what a problem that needs solving looks like from a human perspective, then yeah, AI, has a chance. But for now, a data analyst armed with AI tools, that will be a much more efficient combination. But if data analysts were wiped out tomorrow, people un knowledgeable in the realm of statistics/mathematics typing prompts into an AI, will not cut it, I don’t care how smart or creative you are.
It's 12 months.
It's won't be that automated because the real world has also his conditions and AI won't cover all even after 200 years especially in different part with different cultures
I am in the middle of a data certificate I'm thinking of quitting because I used chat for data projects and chat is much better.
Actually? Does it make you unmotivated too?
Don't quit. You quit on this you'll be quitting all your life. Besides, it is better to be a knowledgeable meathead instead of simply a meathead.
just continue it, the future is a mystery.
yes, next question
Time will say