La Inteligencia Artificial (IA) es considerada como la nueva electricidad, palabras de Andrew Ng; el motor de nuevas aplicaciones y tecnologías que crece a un ritmo frenético y tan descriptible como la ley de Moore, que revive su validez, pero ya no como lo hizo con los procesadores. Como científicos de datos, la IA es nuestro instrumento para generar valor en cualquier compañía. Su uso puede ser para algunos controvertido; para otros representa lo mejor de la inteligencia humana y el futuro que pueda ayudarnos a construir un mejor planeta. Lo que si es cierto, es que la IA no es una novedad. Gracias al desarrollo tecnológico en hardware, contamos con el poder de procesamiento necesario para aplicarla creando nuevas necesidades. Globant considera la IA uno de sus cuatro retos de cara a una nueva revolución digital y cognitiva en el mundo empresarial.

1. Empowering organizations for a
digital and cognitive revolution
GLOBANT
We are

2. Digital & Cognitive
Transformations
Companies need to face profound
to stay ahead of their markets
TODAY’S
CHALLENGE

3. This is not
a traditional game.
You need a pure digital
and cognitive player.
One that has been
involved in amazing
transformations...

4. Engineering the
digital trans-
formation for one
of the largest
amusement parks
in the world
Partnering with
EA for FIFA, UFC,
NHL and other
AAA games
Lifting an airline’s
customer approach
with a 360 degree
digital strategy
Giving Londoners
instant public
access to the
Metropolitan Police
Creating the first
true digital bank for
more than 3MM
users
Becoming the first
partner outside the
Googleplex to work
with Google

5. GLOBANT
We are a pure play on the
digital and cognitive space
We are disruptors on the professional services arena.
We are the place where engineering,
innovation and design meet scale.
We leverage the latest technologies and methodologies in
the digital and cognitive space to help organizations
transform in every aspect.
We create software products that emotionally connect our
customers with millions of consumers and employees,
and we work with them to improve their efficiency.

6. TODAY
IDC MarketScape Worldwide Digital Strategy Consulting 2016
Capabilities
Strategies
Globant recognized as a
Worldwide Leader of Digital
Strategy Consulting Services
by IDC MarketScape report.
LEADERS
Major Players

7. 2003 2006 2008 2009 2012 2014 2015 2016
Founded Signed
Google
Riverwood Capital
and FTV Capital
invested
Studios
launch
WPP
Invested
Listed on
NYSE
Follow on SoP
launched
GLOBANT’S HISTORY
Select Clients
+7,200
Employees
Highlights
2016
Revenue Growth ($M)
CAGR: 27.1%
413
158
200
254
323
20172013 2014 2015
2017
Worldwide Leader of Digital
Strategy Consulting Services by
IDC MarketScape report.
TODAY
2018
3rd
Follow on

8. United States
Argentina
Colombia
Uruguay
Brazil
Mexico
India
Chile
Perú
UK
Spain
Multiple time zones enable us
to deliver agile services to our
customers and global partners.
We benefit from Cultural
similarities and a strong history
of innovation.
We have an unlimited talent pool of
highly educated IT professionals.
38 offices in 31 cities throughout
13 countries.
Strong global presence
with great talent to deliver
digital and cognitive
transformations.
GLOBAL
DELIVERY MODEL
Belarus
Luxembourg

9. OUR
PLATFORMS

10. WE HELP
YOU
STAY
RELEVANT

11. Deep Pockets of Expertise
STRATEGIC SPECIALTY FOUNDATION
UX
Studio
Consulting
Product
Acceleration
Continuous
Evolution
Internet
of Things
GamingMobile
UI
Engineering
Big Data Scalable
Platforms
Artificial
Intelligence
Process
Automation
Cyber
Security
Quality
Engineering
Cloud Ops
Digital
Content
Media OTT
Future of
Organizations
Agile
Delivery
OUR
STUDIOS
Stay
Relevant

12. Deep Pockets of Expertise
STRATEGIC SPECIALTY FOUNDATION
UX
Studio
Consulting
Product
Acceleration
Continuous
Evolution
Internet
of Things
GamingMobile
UI
Engineering
Big Data Scalable
Platforms
Artificial
Intelligence
Process
Automation
Cyber
Security
Quality
Engineering
Cloud Ops
Digital
Content
Media OTT
Future of
Organizations
Agile
Delivery
OUR
STUDIOS
Stay
Relevant

13. Artificial Intelligence

14. These revolutions are leveraging
new technologies that didn’t exist
a few years ago.
We are experiencing two disruptive
revolutions at the same time. The
digital and cognitive revolutions are
affecting how companies connect
with consumers and employees.
TODAY’S
CHALLENGE
The AI Revolution
The Rise of Screenless UX
Connected ubiquitous experiences
Augmented and Virtual Reality

15. “AI is the new
electricity
15

16. Internet of Things and towards technological singularity?

17. Intelligence explosion
“Since the design of machines is one of these
intellectual activities, an ultraintelligent machine
could design even better machines; there would
then unquestionably be an ‘intelligence explosion,’
and the intelligence of man would be left far
behind. Thus the first ultraintelligent machine is
the last invention that man need ever make,
provided that the machine is docile enough to
tell us how to keep it under control.”
17
Irving John ("I. J."; "Jack") Good

19. APOCALIPSIS?

21. This is the best T-800’ arm model we’ve got today.

26. Object recognition
Convolutional Neural Networks can be trained to detect and
locate objects in images.

27. Image captioning
Automatically describing the content of an image is a
fundamental problem in artificial intelligence that connects
computer vision and natural language processing.

28. Pose detection

30. Chatbots
● RNN approach (Seq2seq with attention)
to learn from current interactions
● “Monitor view” for human supervision
and intervention
● Easily integration and scalability
● Trained with 20 million chat sessions
How can you scale and
differentiate something as
unique as a teacher guiding
a student to discover the
answer?

32. What kind of tools do we
need to success with an AI
project?
Big data could be the answer.

33. Surfing the Big Data wave

34. What is Big Data?
Internet of
things
Information
sharing
1.5BInternet users Annual growth of
unstructured data.
70%
Cheaper
hardware
Distributed
processing
BigData
New technologies for
parallel processing of data
Scientific approach to
decision making
…

35. What is Big Data?

36. Big Data Studio
DATA is the new Oil
“You can’t improve what you
can’t manage… and you can't
manage what you can't
measure”
Unstructured
(not really a DB)
Key Value Column Graph Document
General file
storage
Text files
Log files
Complex models
Flexible business
logic
Semi-structured
data
High volumes
OLAP
Analytics
NOT FOR
UPDATES
Relations
between entities
(social graphs)
Agile
development
Flexible data-
models
Too many types.
Eg: Corporate
areas
BigTab
le
BigQu
ery

37. Approach
Our
Globant Proprietary | Confidential Information

38. Business Analytics
Social Analysis
Market Segmentation
Fraud detection
Operations Research
Predictive models
Scoring & Clustering
Data Warehouse
Big Data
Hadoop
No-SQL
MPP
Cloud Services
Interactive Dashboards
Geographic charts
Custom Visualizations
Drill down
Infographics
High availability
Mission critical
Web API & REST
Message Queues & ETL
Enterprise Service Bus
Mission Critical Platforms
Service Oriented Architecture (SOA)
Data
Integration
Data
Integration
Data
Engineering
Data
Science
Data
Architecture
Data
Integration
Data
Visualization
Front-endBack-end
Our Practices

39. What we do
Business Analytics
Social Analysis
Market Segmentation
Fraud detection
Operations Research
Predictive models
Scoring & Clustering
Interactive Dashboards
Geographic charts
Custom Visualizations
Drill down
Infographics
High availability
Mission critical
Web API & REST
Message Queues & ETL
Enterprise Service Bus
Mission Critical Platforms
Service Oriented Architect. (SOA)
Data Warehouse
Big Data
Hadoop
No-SQL
MPP
Cloud Services
Our Practices
Data Architecture Data Integration Data Visualization Data Science

40. Where does AI fit
into?

41. Globant Proprietary | Confidential Information
Doing Data Science with Globant
● Expertise and experience
● Not an individual but the power of a
whole practice
● Not biased by the current “way it is”
- no path dependence
● Full transfer of knowledge and tools
● Technology agnostic
ML Context @ Globant

42. Data Science: Extraction of Knowledge from Data
Data science objective is to extract useful knowledge
from data. This knowledge can be useful for business
purposes contributing to better business understanding
and taking advantage of actionable situation creation.
Involve techniques like machine learning, pattern
recognition, probability and statistics, text mining,
visualization, simulation, operations research, etc.
Data mining, Knowledge discovery, Machine learning,
Business intelligence are different aspects of Data
science practice.

43. Predict numerical
variables
Predict a category Simulation
Forecasting
Find clusters
Operation research and
optimization
Clustering
Data Science Techniques

44. Many applications across industries can be performed using data science techniques:
Data Science Applications
In common
● Email prioritization
● Client Anti Attrition
● Customer Profiling
● Direct Marketing
● Employee Anti Attrition
● Sales Forecasting
● Market Simulation and Wargaming
● Candidate Scoring
● Pricing Elasticity and Optimization
● Sensibility and Impact simulations
Banking and Insurance
● Anti Money Laundering (AML)
● Fraud detection
● Financial scoring
● Sanctions
Retail
● Association rules
● Cross Selling
● Up selling
● Layout optimization
Industrial Applications
● Predictive Maintenance
● Quality Improvement Conditions
● Failure Cause Detection
● Analysis of cost drivers and means for
their reduction
● Resource Optimization
● Scheduling Optimization
● Stock Levels Optimization

45. Tools Used in Data Science Projects @ Globant

46. WE HELP
YOU
STAY
RELEVANT