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Why are you here

today?

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by

Sumit Tyagi

How to build successful AI career?

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Agenda

AI landscape

Roles in current AI landscape

How to decide your role?

What would you need to achieve it?

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🤖

Lead Data Scientist @ Paytm

👨‍🏫

Visiting AI Faculty @ INSAID, UpGrad, KIMO, etc.

🏋️

Can bench-press 100 KGs

About me

Consulting @ Absolutdata - Infogain

Product @ LEAD School

💼

💻

🤓

SME @ UpGrad

Previously…….

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AI Landscape

What do you think humans want ?

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AI Landscape

Humans wants to relax.

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AI Landscape

Humans wants to relax,

But they have work to do.

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AI Landscape

Humans wants to relax, But they have work to do.

So they either delegate or automate the work.

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AI Landscape

Remember,

  • If you can write the solution of a task on a paper, it can be automated.
  • It’s called rule-based approach.

  • If it’s difficult for you to write it down.
  • You may need to delegate it to a person or AI.

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Quickdraw Game

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Quickdraw Game - Discussion

  1. How does the game work?
  2. How is it recognising your drawings?
  3. Further enquiry: How could we program this?

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How does ML work in QuickDraw?

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Quickdraw: Rule-based

if object.height > 10:

do x

if object.color is blue:

do y

if object.numberOfLegs > 2:

do z

...

Frame the goal of the product

Refine until goals are met

Designers and engineers develop flow and logic

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Quickdraw: Machine Learning

Frame the goal of the product

Refine until goals are met

Train a model using examples

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AI Landscape

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Quickdraw Game

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Which Approach to Use?

Rules-based approach

Machine Learning

Alphabetising a list of song titles

Rules-based

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Which Approach to Use?

Rules-based approach

Machine Learning

Ranking Web Search Results

Rules-based

Machine Learning

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Which Approach to Use?

Rules-based

Machine Learning

Predicting Housing Prices�based on Location

Machine Learning

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Which Approach to Use?

Processing online payments

Rules-based approach

Machine Learning

Rules-based

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Which Approach to Use?

Classifying an object in a photo

Rules-based

Machine Learning

Machine Learning

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Recap

Rule-based Approach

Machine Learning

  • Rules are defined
  • Improvements come from algorithms and network
  • Learns patterns from data
  • Improvements can from additional data

Each has its benefits

AI Landscape

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Roles in AI landscape

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Roles in AI Landscape

Maths

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Roles in AI Landscape

OCD

Maths

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Roles in AI Landscape

OCD

Maths

Dressing sense

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Roles in AI Landscape

OCD

Maths

Dressing sense

AI Researcher

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Roles in AI Landscape

Paint

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Roles in AI Landscape

Design

Paint

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Roles in AI Landscape

Design

Paint

Aesthetics

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Roles in AI Landscape

Design

Paint

Aesthetics

Maths

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Roles in AI Landscape

Design

Paint

Aesthetics

Data Visualizer

Maths

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Roles in AI Landscape

Maths

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Roles in AI Landscape

Ctrl C

+

Ctrl V

Maths

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Roles in AI Landscape

Ctrl C

+

Ctrl V

Code

Maths

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Roles in AI Landscape

Ctrl C

+

Ctrl V

Code

Maths

Blame

Game

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Roles in AI Landscape

Ctrl C

+

Ctrl V

Code

Data Scientist

Maths

Blame

Game

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Roles in AI Landscape

Code

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Roles in AI Landscape

Cloud

Code

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Roles in AI Landscape

Cloud

I can fix it later

Code

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Roles in AI Landscape

Cloud

I can fix it later

Code

Data

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Roles in AI Landscape

Cloud

I can fix it later

Data Engineer

Code

Data

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Roles in AI Landscape

Cloud

It works on my machine

ML Engineer

Code

Data

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Roles in AI Landscape

Cloud

It works on my machine

MLOps Engineer

Code

Data

DevOps

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What to avoid?

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What to avoid?

  • Decide your mentors wisely.

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What to avoid?

  • Decide your mentors wisely.

  • Logic is important.

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What to avoid?

  • Decide your mentors wisely.

  • Logic is important.

  • Referrals are important.

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What to avoid?

  • Decide your mentors wisely.

  • Logic is important.

  • Referrals are important.

  • Give your 100% everyday.

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  • Let’s catchup after the session.
  • Click a lot of photos.
  • Ask for referral.

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