To be blunt, it is a foolish question; 
  
  
 I’ll keep it simple - 
 If there is a person who is learning from data, then you can implement that there. 
  
 If not, just stick if “if else” statements

Machine Learning Engineer

The automatic dept of any tech or network company for say JIO as they have to monitor all sorts of data network devices servers and the whole eco system  Is it possible to integrate AI/Ml models or...

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The automatic dept of any tech or network company for say JIO as they have to monitor all sorts of data network devices servers and the whole eco system 
Is it possible to integrate AI/Ml models or any sort of same which will enhance the whole operations or is this question of am ml a foolish question.

Integration of AI/ML

Integration of AI/ML- Grapevine

Welcome to Software Engineers's Private Community

Which tech stack are you currently using to create AI tools?

About Ai tech

Everyday I open youtube/grapevine/teamblind its has keywords AI + Shocked or it will replace our jobs.

My take on why AI might not replace our jobs.

1. Running AI agents or AGI requires significant electric power. If every company starts using it in some way in the future. All the code might be exposed. What if AGI builds its own version and starts selling and shuts down its employer considering its super intelligence.

2. If people dont pay taxes. How will government run? Who will buy the products in the market? Wont people start stealing/hurting others to meet basic needs?

3. Many jobs in todays world use computers in someform. But we only talk about the software engineers. There are non tech people who use computers in their works. Those are pretty much repetitive and can be easily automated. Many are not aware about chatgpt.

On the other end people talk about alternative jobs and the safest job is farming in most of the posts.

1. Cant the rich build humanoid robots to do the same. Can't big corporates buy lands and build vertical farms and run with robots.

2. What big corporates are going to do with the excess money laying us off in the end if all the jobs are taken, as if the people running or owning them are going to live their life eternally. Unless they find a way to upload their existence into a robot.

3. I'm not sure if people posting about AI taking jobs have worked on atleast building basic ML models like linear regression or used MNIST data to detect numbers using neural networks. For most of us AI is a blackbox and we 
do not know about its full potential.

My take on AI
1. AI can aid humans in their tasks or make developers like us to wear multiple hats. Like combination of backend, frontend, mobile, devops, machine learning, cybersecurity. Helpnus better debug.

2. I feel like all these CxO's just blabber to get high funding, spread fear while they chill in their yatch.

Let me know your thoughts on this.

So many posts about AI taking our jobs. My take on it.

Software Developer

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Consultant, Investment Banking went from sought after careers to fads post 2008 crisis when the world realized that these folks are crooks due to their role in propogating the Great Financial Crisis.

Given the backlash tech companies has been getting and global layoffs, will Product Manager also become a passing fad?

Seeing lot of anti Product Manager sentiment on this app off late. Was Product Management also a fad?

Someone here said engineers can become PM but PM can't become engineers. It can't be more correct than this. But reality is, it sounds goods only in theory.  
  
  I asked this same question to my director, why have you hired us when engineers clearly know more about products than us and are capable?  His answered that before the organisation formally created a team of product managers, it was only engineers that were handling product for decades. But that resulted into substandard products being developed, chaotic product release and consistent drop in revenue. The reason being engineers became backlog managers and engineers beging engineers, never focused on business value. Instead, they focused on technical aspect heavily. Engineers never bothered to check if what they were developing will actually sell in the market or not.  
  
 And mind you, this was a product that all of us use in daily lives. The numbers of users in India alone would be millions. So to summarise, yes, engineers can become PMs but generally they stay loyal to their pedigree of BE/B.Tech and become very shitty PMs. They like to have more technical conversations than strategic discussions and hate things that are not quantifiable, subjective. And business facing people here in forum would know, things are always not quantifiable in business planning, market outlook. It is based on assumptions.  
  
 An excellent PM would be someone who is an engineer but knows how to focus on business value of the product, make it customer oriented etc. I had the pleasure of working of one such PM in my last stint and he was truly outstanding. CEO knew him personally and this is in an organization with thousands of employees

Product Manager

Program Manager

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Will AI eat up all the data/business analytics and data engg related jobs??

Operations Analytics

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Job: Data Science

1. "Can you quickly pull this data?"
It will take 2 hours for this query to run and waste my entire day.

2. We shared the data yesterday, do we have insights yet?
You worked out yesterday, I don't see you having abs. Good things take time idiot.

What are some phrases that will make someone in your job cry? 😭

I spoke to an experienced guy in the IT sector who has worked in many FinTech firms and consulting companies. He said when the data science hype started several years back, companies started getting funds from venture capitalists to set up data science wings . Companies went on a hiring spree with this money to hire data science professionals.

However, as the years passed, these data science departments failed to generate revenue as expected. Also, some aspects of data science will very likely be automated. So companies will probably hire less data science professionals and may even fire the resources hired earlier.

source: https://www.reddit.com/r/developersIndia/comments/zzji46/is_data_science_a_bubble_about_to_burst

Data Science Bubble is about to Burst...

A lot of noise around AI taking coding jobs, which i fear might be real. Like not completely but you get my point. So how should one upskill themselves (especially the average folks, top 1/2% will not be affected in any field imo) for the upcoming shift? Like will data analytics/science or maybe ai/ml engineering jobs be on rise ? Should be start upskilling in those fields or any other suggestions? I would really like to know it from someone who has good experience in the industry or someone with good insight. Thanks

Jobs which will be created /not impacted by AI

Software Engineer

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I have 7 years of experience in IT with Mobile technology especially iOS. But now I can see there is not a big, long run and easy adaptive market in future to stick with technology. People with 3-4 years of experience can do the same what I am doing now. Although I have Team build and project management skills also but those are another level of headache. I have some experience with back end Tecnologies also and I love technical work and problem solving things. So I want to know want to know what I need to start learning next which is in high demand and high in pay and what are the various steps to learn those things.
Some suggest AI, ML things some suggest Cloud Computing etc but nobody know what’s it way to grow with it. 

So I need your help with some brief short guidance  for what I need to learn next. I am open for It.

What’s next I need to learn ?

How long would it take to learn Ai/ML from Scratch for fresher

AI/ML fresher

I have had a doubt for long time weather data scientist know ai and ml, or is it a completely different role.

Data science, Ai, Ml same?

How does ML work actually looks like in corporate is it just training they do with the data or anything different?

AI is unlike any other past technology revolution. It is going to make cost of intelligence trending toward zero. 

Going by exponential curve of AI growth, in next 3-4 years, we are going to have an AI model which can code better than 95% of coders... 

Deep mind already has model Alphacode which can code better than 50% of competitive coders. 

People are living in fool's paradise by thinking that AI will create massive amount of job.... 

It won't because it will make cost of intelligence near to zero making coding, analyst, consultant, product management job redundant.... 

What takes 100 coders to build a product won't take more 10 coders in few years from now...

Crisis coming for White collar job

How far do you think AI will go? What all kinds of jobs can it replace?
A boon or a bane?

DevOps Engineer

I am going to make a jargon dictionary, please give your suggestions

Corporate is more about jargons☹️

"per my last email" → "In case you can't read" 
 "To reiterate" → "for the last fucking time" 
 "moving forward" → "Don't try me again, bitch!" 
 "I've CC’d" → "Let's see you lie your way out of this, bitch" 
 "Kind regards"→ “Fuck you" 
 “Warm regards” → “Fuck you”, but warmer

Frontend Engineer

Will AI take my job?

Is studying NLP even worth it in the age of OpenAI? 😱

Growth Manager

What should be our plan B, according to you?

Will AI take QA/SDET jobs too?

Software Test - QA

I came across many people stating that using gen AI they are gonna to automate customer service, How they are gonna get speech in real time without any loss and fine-tune models according to their needs and how they will fix things to give an Indian accent pitch.. how it will provide human touch 😶‍🌫️

Integration of AI/ML

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