Sentinel Report | Q2 2017

Not So Artificial
Intelligence
Sentinel Report Q2 2017 by Globant
Real ways to incorporate AI today

MARTÍN MIGOYA
CEO Globant
@migoya
The Sentinel Report is one of Globant’s initiatives to stay relevant through the
observation of metrics, statements, market trends, insights, and industry
updates on consumer behavior from all over the world.
This information is meant to inspire new thoughts and trigger new
conversations about products, services, ideas, and opportunities in an effort to
help us be more creative and innovative in our solutions.
Observation and action are at the core of any sustainable strategy, and we
believe that this is a great way to create a positive trend.
We encourage you to share this information with your colleagues and to
deepen your understanding of the concepts and ideas that we present here.
Take a look and enjoy!

Survival of the Fittest
the AI Gold Rush
We’re experiencing an AI gold rush — and like many California 49ers discovered nearly two centuries ago, not everyone will cash in.
2016 saw the start of the AI gold rush, but 2017 will be the year we begin dividing participants into winners and losers. Everybody’s
playing, but only some will strike it rich.
This edition is an exploration on how to incorporate AI to products and services in a very real and organic way. Dive in!

Then and now
Do you remember KITT in Knight Rider, Iron Man’s J.A.R.V.I.S, or C-3PO from a
galaxy far, far away? — there’s a long-established fascination with meaningful
machine-human interaction. This dynamic has characterized many of the recent
developments in technology:
- Artificial Intelligence (AI).
- Machine Learning (ML), a method for achieving AI.
- Deep Learning (DL), a specialized subfield of ML.
In recent years AI and ML capabilities have advanced exponentially, blurring the
line between fantasy and reality, thus creating an unparalleled market
opportunity for whoever can bring the technology to eager consumers. When
lifeBEAM (an artificial-intelligence wearables technology company) was seeking
funding to launch their AI-enabled headphones, they turned to Kickstarter,
literally capitalizing on the public appetite for “smart” products. They reached
their $100k funding goal in a mere 90 minutes, bringing almost $1.7 million in
donations by the end of the campaign.
This was just the beginning. Today there is an abundance of demand for more
intelligent and human-like behavior and technology on the market, and now we
have concrete ways to fill that demand. Let’s take a look at this new ecosystem.

Artificial
Intelligence
is empowering
new behavior
Self-driving cars, arguably the application most within reach for
widespread use, are a great example. This area is poised for
extraordinary growth. 10 million self-driving cars are predicted to be
on the road by 2020, and entrenched manufacturers like BMW and
Mercedes, disruptive startups like Tesla, and even tech giants like
Google, are all rolling out self-driving models in the hopes of
capturing future market share.
From autonomous cars to professional services to human
genomics, companies are racing to perfect solutions and secure the
first-mover advantage.
Successful AI products will be driven by one or both of two
fundamental goals: aiding people in accessing and processing
information and facilitating decision making.
The crucial characteristic shared by both is that AI is treated as
technology to supplement, not replace, human capability.
Developers and applications that fail to grasp the continued
necessity of human input are doomed to fail, while those that
understand the necessity are poised for sustainable success.
AI is so important because it's the next step in empowering
decision making and accessing bigger and faster data.
Why is it so important?
Source:
http://www.businessinsider.com/report-10-million-self-
driving-cars-will-be-on-the-road-by-2020-2015-5-6

“Any sufficiently advanced technology
is indistinguishable from magic”
Arthur C. Clarke, British science fiction writer

YANINA
GUERZOVICH
Technical Director
at User Experience Studio
A.I. is Changing the Way
we Design Services
With Artificial Intelligence related technology maturing,
‘human‘- organizations are looking to use this technology to
improve the services they offer to their customers. However, AI
will not just allow processes to become more efficient. This
technology can give us the opportunity to design differently, if
we look at the services end-to end.
Creating meaningful experiences always starts with
understanding the users' needs and motivations. Many
companies are looking to leverage AI to help automate manual
tasks in an effort to significantly reduce costs. Just like any
other touchpoint, for AI solutions to be relevant, we need to
make sure that it is solving a known user need in the
appropriate context. For instance, we need to understand not
only what questions need to be answered by a chatbot, but also
how users will discover the service, get onboarded to the
service, and interact with it. Designing a fluid and transparent
journey is essential when building successful AI experiences.
Furthermore, incorporating AI into services may give us the
opportunity to rethink human interactions. As some tasks are
automated, companies will have the opportunity to let people
focus on building new and meaningful interactions between
people in relevant moments of the journey.
Imagine a chatbot that can help, through simple conversation,
guide a candidate to apply to NASA. Or, a system that
seamlessly matches your professional expertise to a job's
requirements without filling lengthy, duplicative forms. What
about a communication channel that is always available to
immediately answer most of your questions?
The efficiencies created by leveraging this technology might
afford interviewers and recruiters more time to connect with
the right candidates and start building relationships with the
people they want to hire.
By incorporating AI holistically, service designers will have the
chance to focus on not just improving existing experiences and
proposing ideal experiences, but also on redefining the new
functions each channel could perform. Organizations will have
the power to create relationships that will focus on people and
will go beyond technological innovation.
PROFESSIONAL OPINION

5 AI solutions
for the real world
Artificial Intelligence has a concrete and real impact on daily life. Here are 5
scenarios in which AI can help shape behavior and access information
today:
1. Talent management
2. Education and learning
3. Meaningful interactions
4. Process efficiency
5. Scaling interactivity

Talent Management
Reaching and engaging talent1

TALENT MANAGEMENT
There you
are!
We’re so happy
to see you.
On many levels and for many reasons, talent is one of the most difficult
things to find. First, we need to understand and have a thorough definition
of talent. Then, we need to determine what are the correct metrics and how
we can measure talent effectively? How do we cope with and evaluate the
multiple ways a person adds talent to an organization? Finally, how do we
sort out the interdependence of different kinds of talent that makes teams
shine? After asking ourselves and trying to address these questions, it is
clear that to define, find, retain and nurture talent is a complex endeavor.
Currently, we are seeing many products and services in the market that are
successfully exploiting the abilities of AI to find, recognize, and engage
talent through many different types of interactions.
Through the heavy use of data, AI enables us to find the correlations and
contingent situations in which talent is unleashed and high performance
can occur. AI can help us understand, from the bottom up, the values of
our teams, how our teams interact, what makes our teammates tick, and
eventually, what makes them leave.
By applying the massive individual personalization capabilities of AI and
treating our teams as our top clients, we can bring about a whole new
experience, where everyone can, and is able to, bring forth their best.
In this case, AI and Big Data helps us answer the questions:
● What kind of profile does a particular team need?
● How are the employees recognized?
● Who knows what?

Talent management cases
HIREMYA
Applicant Screening and Assessment
Mya helps employers to recruit, engage and
screen candidates before moving forward with an
application for employment. Screening questions
are contextual, based on an analysis of the
candidates’ declared competencies vs. the job
description. To get to a hiring manager, you’ve
got to get through Mya first.
Source:
https://hiremya.com/
STARMEUP
Employee Recognition and Engagement
StarmeUp, a multiple award winning platform by
Globant, is a recognition platform developed to
help organizations strengthen their corporate
culture. StarmeUp uses gamification techniques
and leverages big data to engage employees and
encourage a positive team mindset, while
simultaneously delivering key insights on
employee satisfaction, performance, and hidden
talent.
Source:
https://www.starmeup.com
WORKDAY
Individual Skills Management/Performance
Development
Individual skill management and development
can be encouraged using Machine learning.
Workday creates personalized training
recommendations for employees based on a
company’s needs, market trends, and employee
specifics.
Source:
https://www.workday.com/

“Errors using inadequate data are
much less than those using no
data at all”
Charles Babbage in the Art of Data Mining

SONALI PALKAR
Technical Director
at Consumer Experience Studio
at Globant
AI for Improving the Talent
Quotient of an Organization
In order to stay competitive in the marketplace and maintain a
skilled workforce, organizations often invest in various
employee development programs for training, mentoring young
talent, and rewarding achievers. With the help of AI, it is
possible to build systems around these programs which would
accelerate the process in a more automated way.
AI can help by learning from the various tools and practices
that organizations have already developed or invested in to
manage and recognize their talent. AI can help derive
meaningful insights by collecting data points and behavior
from these systems. In the example of Globant, there are
various tools available including StarmeUp, MyFeedBack, and
Acamica to recognize talent, reward employees, give feedback,
and provide a forum for continuous learning. AI can help to
leverage these tools more effectively and will provide
meaningful insights to identify areas for improvement.
With the help of AI in StarmeUp and MyFeedBack, these tools
can analyze recognitions and identify any lacking
competencies in individual employees. They can also
recommend actions to be taken to improve the areas that are
lacking competency.
AI can improve the learning experience for employees, and help
improve the systems that are designed for training and
education. It will be possible to monitor the progress on
enrolled courses in Acamica, and alert mentors when
appropriate. For example, mentors can be notified when an
employee is not performing a course, or when employees are
struggling with the quiz. It can also recognize and reward
employees. It would be possible to make recommendations on
relevant courses for employees to take in order to continue
their career path. Finally, it can automate the assessment of
the tests upon completion of the course and can reward the
best performers.
In summary, because AI can alter how we find, navigate, and
interact with certain information, it can help both employees as
well as organizations review their processes and take the
necessary steps to make those processes more efficient,
impactful, and helpful. Enhancing skills and qualities of the
employees and the organization will help improve the talent
quotient.

Education and Learning
New ways of imparting knowledge2

Learning is a lifelong endeavor, and improving the experience of learning by
reducing its friction, and adapting the content and context for every learner
is essential. This is especially true for children, many of whom require
different learning styles, because of the impact this period has on the rest
of their life. Each day we learn more about how children behave, how their
brains learn, how to pace experiences, and the role and importance of
social behavior.
Through AI, we are able to produce curriculum and materials tailored for
every child. We can track their progression in real time, detect underlying
knowledge failing, and even peek into the emotional and cognitive state of
the person in order to adapt and incorporate the latest pedagogic
knowledge into the teaching process. With the help of AI, we can even
understand their personality in order to structure the appropriate study
groups, and coach them, semi automatically, to find their answers rather
than simply just giving them the answers.
This is a new area in which we can explore how to engage with both
children and adults in order to optimize their attention and focus to provide
the right content at the right time.
In this case, AI along with Experience Design can help us answer the
following questions:
● What is this person’s learning profile?
● What is the best material for them?
● Who are their best learning partners?
EDUCATION AND LEARNING
Accessing
&
processing
information
has never been
more fun! ;)

Education and Learning cases
GOOGLE - RASPBERRY PI
Google brings AI to computer science education
system
In January 2017, Google announced plans to
introduce artificial intelligence and machine
learning tools to UK-based Raspberry Pi. The
low-cost credit-card sized computer will be
enhanced with AI tools that aid facial and
emotional recognition, speech-to-text translation,
natural language processing and sentiment
analysis. The aim of the partnership is to enable
school children, programmers and inventors that
use the computer to build “even more powerful
projects”.
Source:
https://www.raspberrypi.org/blog/google-tools-raspberry-pi/
THIRD SPACE LEARNING
Complementing in-class teaching
Third Space Learning has launched an AI project
with goals to achieve positive teaching and
learning patterns. The platform gives real-time
feedback and helps online tutors become better
at teaching. For example, the tool will detect if a
student’s reaction to a concept follows a pattern
of misunderstanding. By notifying the response
to teachers, the tool can help prevent problems in
advance and create a more solid foundation for
further learning.
Source:
https://www.thirdspacelearning.com/
USC INSTITUTE OF CREATIVE LEARNING
Smart toothbrush tracks oral hygiene via AI
The University of Southern California (USC)
Institute for Creative Technologies creates smart
virtual environments and applications that utilize
AI, 3-D gaming, and computer animation to
develop authentic virtual characters and realistic
social interactions. Captivating Virtual Instruction
for Training (CVIT) is a distributed learning
strategy that aims to integrate live classroom
methods with best-fit virtual
technologies—including virtual facilitators,
augmented reality, intelligent tutor, and others—in
remote learning and training programs.
Source:
https://www.techemergence.com/examples-of-artificial-intelligenc
e-in-education/
http://ict.usc.edu/

“The key to artificial intelligence
has always been the
representation.”
Jeff Hawkings
Source:
https://www.brainyquote.com/quotes/quotes/j/jeffhawkin501601.html?src=t_artificial_intelligence

DIEGO
CARDOZO
Technical Director
at Enterprise
Consumerization Studio
at Globant
A Innovative Transition
Education is constantly evolving. Every society has the goal to
form and educate -'to produce'- their own components and the
process is in a continual transformation trying to catch up with
the world’s economy, politics, ideologies, culture, technology,
etc.The challenge is that everything is changing and advancing
too fast; so fast than traditional ways are losing the capability
to join the world's transformation.
In a new era of communication, with excess of information and
intelligent tools, how will be the future of education?
And what will the impact of AI, be?
AI can play a new role in the field of data analytics related to
learning. Evaluating the condition of curricular contents and the
information available in different knowledge networks, it can
assess, modify or create content, courses and even an entire
career plan, generating an structure of resources that could be
continually evolving.
AI can also create a set of services to provide virtual teachers,
and learn from the experience of interacting with human
students, manage calendar of activities and even provide a
customized study plan adjusted to every student's conditions
and needs. AI can coordinate lab experiments, simulate
teamwork scenarios and constantly evaluate planned tasks to
rate and track a student’s progress.
.
According to several studies over e-learning dropouts (Gartner,
University of Columbia, Online Learning Consortium) more than
20% of students don’t complete online course because they get
bored during the process, and that personalization is a key
aspect to maintaining them on the track. The challenge is how
to offer personalized courses for every student? AI can do this.
It can learn from the student and offer just the right content for
each of them. It’s all a matter of learning and data, and today
we have the capability to afford the costs to improve our
educational systems in that direction
Amazon's Alexa, Apple's Siri and other industry leaders’
developments are showing the way for the future of an AI
conceived for education, assisting in classrooms to solve
problems or creating the right content to assist professors,
providing materials and simulations, or helping to solve
exercises while the professors put focus on the class.
Transition is already happening, and there is a huge opportunity
to take a leap of innovation and quality to improve education,
and the big driving force for the next revolution is coming to the
stage.
Ladies and gentlemen: Let's welcome AI.

Meaningful Interactions
Expanding the limits of connectivity3

MEANINGFUL INTERACTIONS
Relevant
interaction,
less noise,
more results.
AI enables devices to adapt to the user and to the context. It can
distinctively learn how you interact, depending on the time, place or even
your mood. It can understand gestures and commands, and it can
proactively suggest, or predictively prepare for your needs. It can tackle
complex tasks to aid the user in understanding, translating, organizing, and
suggesting actions.
The ever-growing adoption of the Internet of Things (IoT), wearable
devices, and the Cloud enable the use of Edge and Fog Computing. This
means that both storage and processing can happen at the fingertips of
the users, thus offloading many AI components to be present in smart
devices. Now, imagine a world where you don’t need a screen anymore,
unless you really want to!
The abundance of information gives us yet another avenue of potential,
since AI could anticipate the basic necessities of some interactions (like
basic information and reason to contact an agent or tech support) and let
the people focus on how to be useful instead of the what.
When you stop thinking about how you have to interact, the devices are free
to be smart. When you can cut the boilerplate for interacting, you have the
depth to be meaningful.
In this case, AI along with IoT help us answer the questions:
● Where should we be? and how?
● How can we interact in a seamless way?
● Can we make it more fun?

Meaningful Interactions cases
YOLK
Improve your mood through eating
Available for download starting May 2017, Yolk!
is a mobile app designed to improve people’s
mood through food. The US-developed app uses
artificial intelligence to understand how people
are feeling based on a submitted selfie across
eight emotions including sadness, stress and
anxiety. The app then suggests foods to improve
a user’s mood, such as zinc-rich mollusks if
users are angry.
Source:
https://www.youtube.com/watch?v=R2RPGznE57c&feature=y
outu.be
ECHO LOOK
Voice-activated selfie camera dispenses fashion
advice
In April 2017, Amazon introduced Echo Look: a
smart, voice-activated selfie camera that can
take photos and videos on command and provide
fashion advice. The Style Check facility sees
virtual assistant Alexa providing advice based on
fit, color, styling and current trends, when two
outfits are compared. Available by invitation only
in the US, the device also has built-in lighting and
a depth-sensing camera which automatically
blurs the background.
Source: https://www.amazon.com/dp/B0186JAEWK
OMMY
Personalized emojis from selfie
Ommy creates a unique emoji using artificial
intelligence from users that are taking a selfie.
Ommy instantly creates an image of users based
off many styles and emotions: funny, love,
cartoon, rage, etc. Ommy uses neural networks
so that each new user helps the product to
evolve. The Ommy team is also working on
providing new feature updates like creating a
cartoon-looking caricature of a user's head from
a single selfie in 3D.
Source:
http://www.prnewswire.com/news-releases/ai-based-sticker-
creation-app-ommy-launches-300407024.html

“Artificial Intelligence is the new
electricity”
Andrew Ng, VP & Chief Scientist of Baidu; Co-Chairman and Co-Founder of
Coursera; and an Adjunct Professor at Stanford University.
Source:
https://medium.com/@Synced/artificial-intelligence-is-the-new-electricity-andrew-ng-cc132ea6264

FEDERICO
KEREKI
Technical Director
Big Data Studio at Globant
Personalizing the Impersonal:
AI Applied to MOOCs
Massive Open Online Courses (MOOCs) are taking advantage
of the Internet to bring high quality teaching materials to
students all over the world, by applying the concept of distance
education. One of most famous MOOCs, “Introduction to AI”,
was launched by Stanford University in 2011. Its enrollment
was over 100,000 students, far beyond the size of any course in
the university’s history, with an unequalled far reaching scope.
While these courses have several advantages, such as
providing access to students at nominal fees or no cost, and
without the need to be present at the university’s campus, there
are also some disadvantages. Some of those do not have
simple solutions: for example, over 50% of students taking part
in the US based courses come from countries where English
isn’t their first language. (See http://tinyurl.com/demgrp1 or
http://tinyurl.com/demgrp2.)This can prove to be a significant
barrier because of the high reading comprehension levels that
MOOCs usually require. However, there are some other
problems where AI can provide a solution.
Student demographics suggest that dropout rates for online
courses are extraordinarily high: Course completion rates are
around 5-10%, while an extra 10-20% go through the complete
courses without the final evaluation. (See, for example,
http://tinyurl.com/demgrp3 or http://tinyurl.com/demgrp4.)
Many people are just curious about the course, but have no
actual interest in finishing it. Some simply want to learn a bit
more about a subject.
Regardless of the type of student or the motivation for taking a
course, there are other problems that affect students: courses
and classes that are too long in duration, levels of required
background courses and prerequisite classes, communication
problems, and lack of interaction with professors and peers.
AI can help alleviate some of these aforementioned problems
by adding evaluations, taking note of results, and helping
identify and focus on weak points in the student’s knowledge,
while letting them advance at faster speeds when mastery of
the subject is shown. By analyzing the student’s answers
during the course, the system can decide if more material is
needed to reinforce weakly learnt concepts, or to speed the
course up if the student shows appropriate mastery. More
precise translation tools would also help bridge problems with
foreign students -- however, special care must be taken not to
distort the original meaning of the course materials. Finally, AI
can also be applied to create more effective tests by applying
Natural Language Processing techniques for written material
assessment, and, on the darker side of evaluations, to do
advanced text analysis to detect plagiarism and cheating.
When the professor is removed from actual teaching, and
students are basically on their own (or with just their peers)
adding an AI tutor can be a way to enhance a course, going
back from the impersonality of a basic MOOC, to a finely tuned,
student-geared personalized learning tool.

Process Efficiency
Improving the everyday tasks4

PROCESS EFFICIENCY
Free your
self!
There is so much
you can do with
your time.
All organizations rely on a series of processes (formal and informal) to
maintain its operation, whether incorporating data, communicating
decisions, outputting feedback, information and products, tracking
documentation, correcting mistakes and so on. These processes can be
“institutional” (i.e. involving many people) or individual, as stages in the
personal workflow.
For a long time, the bane of a seamless world has been, the cognitive
processes which have required humans in the middle, like recognizing
handwritten text, understanding audio, knowing what is in a picture,
applying complex criteria that requires a lot of experience and background
context, and getting to know a person to be able to give an extremely
personalized response.
How much can we grow and improve if we can concentrate on meaningful
tasks rather than repeating mind-dulling paperwork? How much can we
increase returns if we can focus on new ideas and execution rather than
maintaining processes? How can we better serve our clients by treating
them as our sole client, but on a massive scale?
There is a brave new world, where the people can focus on creativity,
empathy and problem solving. While we humanize technology, we can
de-mechanize people!
In this case, AI along with Service Design and System Architecture help us
answer the questions:
● What is the optimal process?
● How can I make this more efficient?
● Is there another way around?

Process Efficiency cases
KNOWMAIL
AI management service simplifies email
A round of funding in December 2016, garnered
3.5 million USD for the AI email management
system, Knowmail. The Israeli initiative works
with Outlook, studying employees’ email habits,
time management, and personal preferences,
automatically categorizing mail as ‘urgent’,
‘important’, or part of another category.
Additional features simplify Outlook management
and navigation. The, invite-only system includes
virtual assistance in the form either Microsoft’s
Cortana or a Bot.
Source:
https://knowmail.me/
OTTO
Automated business decisions with AI
The German e-commerce merchant is using AI
technology with an algorithm designed for the
CERN laboratory. Not only does it automate
business decisions beyond customer
management, but it also reduces cost by millions
of euros per year by lowering the number of
returns of products. The algorithm analyzes
around 3bn past transactions and 200 variables
(such as past sales, searches on Otto’s website,
and weather information) to predict what
customers will buy a week before they order. The
AI system predicts with 90% accuracy what will
be sold within 30 days.
Source:
http://www.economist.com/news/business/21720675-firm-u
sing-algorithm-designed-cern-laboratory-how-germanys-otto-u
ses
GE’s BRILLIANT MANUFACTURING
Smooth manufacturing using AI based software
Brilliant Manufacturing software enhances the
efficiency of the entire manufacturing
process—from design to distribution and
services. The software includes a suite of
analytics and operational intelligence tools
appropriate for a range of manufacturers. The
WIP Manager software provides industrial and
discrete manufacturers with plant-floor and
plant-wide collaborative visibility of all of the
work in process. Toray Plastics is using GE’s
Plant Applications product, which allows
management to collect granular-level data
throughout production and reduce the
manufacturing of defective products and wasted
productivity.
Source:
https://www.ge.com/digital/sites/default/files/toray-plastics-opti
mizes-manufacturing-operational-performance-with-big-data-analyt
ics-customer-story.pdf

“AI will be responsible for
reducing one of the leading
causes of death in the world: car
accidents”
Mark Zuckerberg
Source:
https://quotefancy.com/quote/1482296/Mark-Zuckerberg-If-you-recognize-that-self-driving-cars-are-goi
ng-to-prevent-car

NATALIA
FREIRE
Technical Director
Enterprise
Consumerization Studio
at Globant
Technology as a Driver to
Improve the Nature of Work
In an incredibly competitive and aggressive marketplace,
companies will remain successful if they are able to rapidly
become more efficient. By using new technology, there is an
opportunity to build solutions focused on automating
processes. This can provide important enhancements to
precision and cycle times, increasing productivity in transaction
processing and improving the work by removing people from
repetitive and boring tasks.
It is important to consider the actual technology as
complementary to human capabilities. Instead of removing
talent, talent can be reallocated to jobs where value can be
added and where that talent is more appreciated. One of the
biggest challenges for enterprise operations is identifying what
processes need to be prioritized in order to build the best
automation strategy. Once an automated solution is ongoing,
the monitoring and governance of automated processes is key
to keep improving the operational efficiency moving forward.
There is new technology available today that allows us to
capture and interpret existing applications, simulate and make
more efficient human interaction, and manipulate data. The
idea is to leverage this technology and our imagination to come
up with innovative solutions that can help increase a
company’s productivity and competitiveness.
Some innovative examples across industry are (1) automated
answers to recurring questions in customer service/support
roles, (2) bots in different stages of the development process
(code review notifications, debugging and environment
deployment), and (3) autonomous cars that do not require
human input.
Although this may seem like science fiction, it is not. It is an
opportunity that may make the difference in today's
competitive marketplace.
Technology is revolutionizing the way we think about managing
business and workflow processes.
Are you ready?

Scaling Interactivity
Making connections more familiar5

SCALING INTERACTIONS
“Hello
there”
I’m sure I can
help you now.
AI has recently enabled a venue, the conversational interface, which was
unthinkable some years ago. Whether it is text, voice, or even gestures, we
now have the capacity of understanding the nuances of language
automatically and have the ability to act on it.
The most common form of conversational interfaces is the chatbot, an
omni channel element in which device becomes irrelevant (see the rise of
personal assistants like Google Now, Alexa, Siri and others).
Soon, we may not even realize we are talking with a computer. There may
be a time where we might not even have to declare what we are doing or
what we want, as the devices themselves would already know.
What would we do differently if we could have one-to-one conversations
with every client all the time?
In this case, AI along with Cloud and Big Data helps us answer the
questions:
How would I engage with my information in a more real way?
Can we create a seamless experience?
Is there room for non intrusive interaction?

Scaling Interactivity cases
CONVERSICA
Virtual Assistance empowering sales
Conversica “sales assistant” automates and
enhances sales operations processes by
identifying and conversing with internet leads.
Star2Star Communications implemented its
Conversica-powered sales rep “Rachel” in 2016
and saw a 30% email response rate within hours.
The customizable sales assistant software is
also used to cross-sell or re-engage existing
leads. New England-based Boch Automotive also
employed Conversica software, which it
attributed to a an average of 60% increase in
sales per month at one Toyota dealership.
Source:
https://www.conversica.com/how-it-works-persona-helps-you-i
dentify-hot-leads-that-are-ready-to-buy-now
HIPMUNK
AI Powered Travel Assistance
Hipmunk’s AI-powered chatbot assistants are
available on Facebook Messenger, Slack, and
more recently, Skype. Hipmunk bots allow users
to ask questions like “when is the best time to
travel to New York from New Jersey?” or “what is
the cheapest hotel in San Francisco?” Because
Hipmunk also works in group chats, users can
easily plan family trips together without leaving
the chat room.
Source:
https://www.hipmunk.com/
VISABOT
Immigration Attorney Bot
Visabot is an immigration attorney bot that helps
users understand American Immigration Laws. It
even lets users apply for the correct visa, based
on their history, personal background, and CV.
The bot ensures that people fill out forms
accurately to help them earn citizenship in the
U.S. It suggests the user’s immigration path
powered by a smart analysis of success stories
and source information from the public domain,
and structures and tunes the path to support
user’s individual case.
Source:
https://visabot.co/

“A computer would deserve to be called
intelligent if it could deceive a human
into believing that it was human”
Alan Turing - Computer scientist, mathematician, logician, cryptanalyst, philosopher and
theoretical biologist.

DIEGO CARDOZO
Product Team
at Enterprise Consumerization
Studio
AI, IoT, and Edge of Cloud:
Improve your Business
When modern AI first started many decades ago, its focus was about
creating logical rules to define intelligence, and building algorithms
to give “logical power” to a computational entity. This approach was
about disruption, and the aim was to find a more efficient way to
provide simulations and faster results for mathematical problems.
Years later, AI advanced one big step with its ability to obtain
information from first data networks, improving the ability to get
large volumes of data from different research centers. However, this
advance led to new problems related to scale, which was ultimately
solved by modern networks and processing power from data centers
and a new generation of servers.
Thanks to ongoing IoT disruption, computers networks have found a
way to expand their capacity “to sense” the world because of an
abundance of new sensors and devices. We use “feeling” because of
the ability to capture temperature, motion, sound, vibration, smoke,
light, humidity, etc. This capacity generates a large amount of “Big
Data" and gives us the opportunity to create applications for smart
environments, cities, and solutions for several industries and
scientific fields. This can be done by analyzing data simultaneously
from multiple sources, or even in (near) real time, empowering AI
capacities and data models.
The latest developments in cloud computing and data
processing have provided another perfect opportunity for AI:
scaling systems and communications in commercial products
and applying edge computing models to feed complex
information to central networks more efficiently. In that way,
systems can analyze large amounts of data at the same time
from different points in a building, a city, or even a country.
This enables us to produce innovative and affordable
solutions that can be adapted to several business scenarios,
applying AI, Big Data and advance communications to help
you to scale your business (invest, onboard your processes,
be more innovative/efficient), by creating smart interactions,
with your customers, employees and with the world.
According to a recent PwC study, AI will contribute 15.7 trillion
USD to global economy by 2030. Don’t get left behind - let’s get
started and be part of next revolution.

There is so much more you
can do with these insights!
We are a team of professional researchers, designers, technologists and subject-matter experts that put
knowledge into action. We create strategy reports and envision scenarios that help build a strategy for
the future.
Contact us at sentinel@globant.com and take the next step into a more insightful strategy.

Credits
Collaborators
Diego Cardozo, Natalia Freyre, Federico Kereki, Sonali Palkar, Yanina Guerzovich
Research, Copy and Design
Juan José López Murphy, Javier Minhondo, Matias Boix, Gonzalo Zarza, Julio César Borrero, Sneha Debnath
Editors
Emiliano Horcada, Julia Christensen

Disclaimer
This report is intended for informational purposes only, based on information available in public domain. While the information provided has been
obtained from sources believed to be reliable, neither Globant nor any of its affiliates, directors, neither officers nor agents attests to its accuracy
or completeness.
No representation or warranty, expressed or implied, is made regarding the completeness, accuracy, timeliness or suitability of any and all
information and data contained within any part of the report. Globant shall in no case be liable for any direct, indirect, incidental, special,
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protected by applicable laws.

Sentinel Report | Q2 2017

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