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[Markert learner @vinay_kumar_020]

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[Markert learner @vinay_kumar_020]

For example.. Where are fraudulent transactions taking place in a bank? Or why is traffic increasing in a city? The answer to these questions can be found in data.

[Markert learner @vinay_kumar_020]

Data Scientist:

The person who enters the field after that is a data scientist. You can imagine yourself as a scientist. Your responsibility is to identify patterns hidden in data.

[Markert learner @vinay_kumar_020]

ML Engineer:

Now comes the ML engineer into the story. He takes the patterns found by the data scientist and builds them into a working model. This is a role like a mechanic building an engine. It has to actually work, not just a theory. This is his responsibility.

[Markert learner @vinay_kumar_020]

AI Product Manager:

Now we need to take this technology to market. That's where the AI product manager comes in. His job is like a director's.
What problem do customers have? How can AI solve it?
How can it benefit the business? The product manager focuses on that.

[Markert learner @vinay_kumar_020]

What technology should be used? How should it be integrated?
How should it be expanded in the future?
All of this is in the architect's imagination.

[Markert learner @vinay_kumar_020]

AI Architect:

The story doesn't end here. To build a large system, a design is needed. That's where the role of the AI architect begins. Just as an architect plans to build a large building, the AI architect decides how the entire system should work.

[Markert learner @vinay_kumar_020]

That is why a UX designer beautifies the user experience.

[Markert learner @vinay_kumar_020]

UX Designer:

This system is easy for humans
A UX designer is needed to make it usable. They are like the person who decorates the interior of a house. No matter how powerful a system is, if it is not easy to use, it will not deliver the desired benefits.

[Markert learner @vinay_kumar_020]

Model Validator:

one question still remains, are the AI decisions correct? That's where the model validator comes in. They are like a test officer. They check whether the model is working properly? Are there any errors?

[Markert learner @vinay_kumar_020]

AI Ethicist:

Finally, an important role is played by AI ethicists. No matter how advanced technology becomes, it must respect human values. They are the ones who answer the questions: Is AI fair? Is it biased? Is it harming society?

[Markert learner @vinay_kumar_020]

Prompt Engineer:

Now a new character named Prompt Engineer enters the story.

With generative AI systems, only when you ask the right question will the right answer emerge. Constructing those questions is an art. This is the job of a prompt engineer.

[Markert learner @vinay_kumar_020]

"The person who works is a data and AI translator. They act as translators who make technology understandable to business."

[Markert learner @vinay_kumar_020]

Data and AI Translator:

The company faces a major problem. The technology team speaks one language, and the business team speaks another. As a bridge between these two worlds,

[Markert learner @vinay_kumar_020]

NSE has said that it has received SEBI approval to launch domestic natural gas futures.
The date of commencement of trading will be announced soon, the NSE said.

[Markert learner @vinay_kumar_020]

Gas derivatives on NSE

The National Stock Exchange (NSE) has announced that it will start trading derivatives based on domestic natural gas prices. It has partnered with the Indian Gas Exchange (IGX) for this.

[Markert learner @vinay_kumar_020]

#stockmarket update on 09-04-2025
#sensex #NiftyBank #Nifty50 #stockmarketcrash

[Markert learner @vinay_kumar_020]

#stockmarket update on 08-04-2025
#sensex #NiftyBank #Nifty50 #stockmarketcrash

[Markert learner @vinay_kumar_020]

#stockmarket update on 07-04-2025
#sensex #NiftyBank #Nifty50 #stockmarketcrash

[Markert learner @vinay_kumar_020]

#stockmarket update on 04-04-2025
#sensex #NiftyBank #Nifty50 #stockmarketcrash

[Markert learner @vinay_kumar_020]

#Hanuman