Overview of how businesses are using Artificial Intelligence throughout their business. Drones, Smart Speakers, Machine Learning, Sales, Chatbots - all of it in their stack.

1. Businesses Built on
AI
Evolve Machine Learners

2. What is Machine Learning?

3. Machine learning is an application of artificial intelligence
(AI) that provides systems the ability to automatically learn
and improve from experience without being explicitly
programmed. Machine learning focuses on the
development of computer programs that can access data
and use it learn for themselves.

5. What is so special about AI?
AI→ Creates a positive feedback loop so we
as humans can make better and better
decisions...

7. Amazon
Alexa

8. "We are now solving problems with machine learning and artificial
intelligence that were … in the realm of science fiction for the last several
decades. And natural language understanding, machine vision problems, it
really is an amazing renaissance."

9. "But much of what we do with
machine learning happens
beneath the surface. Machine
learning drives our algorithms
for demand forecasting,
product search ranking,
product and deals
recommendations,
merchandising placements,
fraud detection, translations,
and much more. Though less
visible, much of the impact of
machine learning will be of this
type — quietly but meaningfully
improving core operations."

10. Amazon’s latest $1 Billion purchase was a
video doorbell: Computer Vision Play

12. "I wanted to make it clear that
Tesla is serious about AI, both
on the software and hardware
fronts. We are developing
custom AI hardware
chips"--December 8th 2017

15. DeepMind was able to save
Google billions of dollars on
energy costs by applying
Machine Learning to their
data centers

16. Self driving cars enables by
computer vision & deep
learning...

17. “We need to scale AI out to
more people,” Fei-Fei Li, chief
scientist at Google Cloud, said
ahead of the launch today. Li
estimates there are at most a
few thousand people
worldwide with the expertise
needed to build the very best
deep-learning models. “But
there are an estimated 21
million developers worldwide
today,” she says. “We want to
reach out to them all, and
make AI accessible to these
developers.”

19. Deep Learning: Facebook knows your face.
You used to tag your friends, ‘training the
machine,’ Now it tags you.

21. https://wit.ai/

22. AI first companies are adding
TRILLION$ of dollars in value

23. How can you build your career
in AI & Machine Learning?
● Jobs
● Freelance
● AI Startups

24. Jobs
● 5000+ Artificial Intelligence jobs are being posted on
Linkedin.
● Average AI job commands six figures. $100,000 -
$130,000 (per year).

25. AI Job Positions
Source: glassdoor.com

26. Freelance AI Engineers on Upwork and their per
hour rates

29. AI will produce world’s first Trillionaires.
-Mark Cuban

30. Trend is changing from “Every
business is a software business”
to “Every Business is an AI
business”

31. Jobs
● Artificial Intelligence jobs posted on Linkedin.
5000+

32. AI Job Positions
Source: glassdoor.com

33. Freelance

34. Freelance AI Engineers on Upwork and their per
hour rates

36. AI Startups
Just as 100 years ago electricity
transformed industry after industry, AI
will now do the same.
-Andrew NG

37. How does Evolve Machine Learners
fit in?

42. Jakarta Batch 2: We
currently have the
largest collection of
Machine Learning
Engineers in
Indonesia in our
system. Every 6
weeks we launch a
new batch of
students. Our current
batch sizes are
between 25-40 per
month. These
engineers’ profiles
populate the
different layers of
our platform:
Marketplace and
Incubator Teams.

46. Our Success
Stories:
Bilaal & Imran
Salary before Track 1:
Rs. 35,000 per month
Salary after Track 1:
Rs. 125,000 per month
350% increase in monthly pay
Old Job: Boring Programmer
New Job: Natural Language
Processor, Machine Learning
Engineer
Next year’s goal: 8x $$

50. http://18.217.236.36/

54. 1st - We’re going to build our model to detect pneumonia
2nd - Apply the same concepts to other diseases
3rd - Build Web & Mobile Platform for doctors to use
(Applications in 3rd world are HUGE!)
Conditions we’ll try to
build our model to detect:
Atelectasis
Consolidation
Infiltration
Pneumothorax
Edema
Emphysema
Fibrosis
Effusion
Pneumonia
Pleural_thickening
Cardiomegaly
Nodule Mass
Hernia

55. AI/Deep Learning Cloud gives you
the power to find solutions...

56. An undisclosed bank (NDA) has allowed
us to build a proprietary cybersecurity
program that will automate anomaly &
threat detection which will eliminate
many tasks that are currently done
manually. The product is similar to
QRadar.

58. We are applying machine learning to
3-layered data sets. The primary layer is
the publicly available layer available
through tax data sets, recorded sales
price, and other data sets outlined by
Zillow. The second layer uses our
computer vision system to associate
satellite and google streetview data to
determine price. The third layer, may be
applied through a free consumer app
that uses computer vision and
augmented reality to make free
recommendations to consumers, while
training our computer vision engine with
internal home images.

60. Applying Computer Vision for Home Predictions, using Google Streetview

61. 1st - We’re going to build our model to detect pneumonia
2nd - Apply the same concepts to other diseases
3rd - Build Web & Mobile Platform for doctors to use
(Applications in 3rd world are HUGE!)
Conditions we’ll try to build
our model to detect:
Atelectasis
Consolidation
Infiltration
Pneumothorax
Edema
Emphysema
Fibrosis
Effusion
Pneumonia
Pleural_thickening
Cardiomegaly
Nodule Mass
Hernia