The 10 Most Innovative Artificial Intelligence Solution Providers 2018. This issue will highlight the extraordinary efforts, contribution, and innovation done by different organizations in the AI field. On the cover of this issue, we have, A.I. Tech: Amalgamating A.I. with Human Life.

1. MARCH 2018
www.insightssuccess.com
A.I. TECH:A.I. TECH:
THE
10MOST
INNOVATIVE
ARTIFICIAL
INTELLIGENCE
SOLUTION
PROVIDERS
2018
AMALGAMATING A.I. WITH HUMAN LIFE

4. Artificial Intelligence (AI):
World of Infinite Possibilities
oday, Artificial Intelligence (AI) is involved in every aspect of human life. Beginning with
Tbrowsing the web, placing an order or even using social media platforms, every move made on
the internet is being enabled with AI. Also, AI is revolutionizing the sectors such as healthcare,
logistics, defense, manufacturing, education, IT, politics, and many more with its efficient, highly
productive, cost-effective and time-saving alternatives. The popularity of AI has increased due to its ability
to minimize human effort, attention and involvement in the respective activity. In the last few years, it has
been observed that Google, Tesla, Amazon, Uber, and many of such big giants are investing their huge
resources in the AI space. The recent development has made it clear that AI is the future of mankind and
one who possesses the highest AI capabilities will lead the respective space.
Self-driving vehicles have become the current trending topic. Presently, this technology is in the testing
phase and will be available in the near future. Driverless vehicles doesn’t demand the presence of a
physical driver as it uses an AI-based architecture that allows riders to do some useful work or get relaxed
instead of fatigue driving. In this decade, Apple, Waymo, Tesla, Ford, Honda, BMW, Nissan, Intel, Uber,
and more are continuously working on their autonomous vehicles and testing each and every aspect of
comfort and safety.
AI technology is also transforming the defense sector with their highly useful products. These AI enabled
products can be utilized where a human can’t withstand. These can also be useful for disaster relief also.
Thus we observed that AI is having an influence everywhere and this made us go to the issue, The 10
Most Innovative Artificial Intelligence Solution Providers 2018. This issue will highlight the
extraordinary efforts, contribution, and innovation done by different organizations in the AI field.
Editor’s Note
MARCH 2018
www.insightssuccess.com
A.I. TECH:A.I. TECH:
THE
10MOST
INNOVATIVE
ARTIFICIAL
INTELLIGENCE
SOLUTION
PROVIDERS
2018
AMALGAMATING A.I. WITH HUMAN LIFE

5. On the cover of this issue, we have, A.I. Tech: Amalgamating A.I. with Human Life. Generally, when
we talk about security the first and foremost thing that comes to our mind is “Surveillance Camera”,
But again here a question arises; are traditional surveillance cameras self-sufficient to provide us the
optimum level security? The answer is no! So to provide a solution to the above mention dilemma
A.I. Tech came into the picture.
A.I. Tech is an outstanding company, where they strive to conceive, design and make systems realize
as well as enable them to produce intelligent surveillance cameras. Indeed, they transform the way in
which a camera sees the objects. At A.I. Tech they produce video analytic plugins that can be installed
on board of surveillance cameras that not only observe the scene, but also they are able to discover
what it is happening through the recognition of the objects and the analysis of their behavior.
After doing in-depth research, we have enlisted companies who responsibly transforming human life
with the incorporation of AI. App Orchid: A Specialist in the Science of Artificial Intelligence and
Cognitive Computing, Dotin: Tapping into Subconscious Behaviors of Human to Provide Accurate
TM
and Powerful Business Outcomes, FogHorn Systems : Delivering Business Outcomes for Industrial
IoT, Kono.ai: Your Advanced Scheduling Partner, Robin Media: Your Personal Concierge for Live
Experiences, and Tanjo: Improving Businesses, Industries, and People’s Lives by Bringing Machine
Learning and Automation to the World.
Also, Insights Success has interviewed Josh Ziegler: A Curious Entrepreneur Defining the
Boundaries of Innovation. Josh is the Founder and CEO of Zumata, a leading-edge technology firm
that embraces and deploys the cutting-edge technology. An avid tinkerer, he seeks out new challenges
and opportunities with a keen eye to ‘making things better’ whether that’s making a tastier pizza or
solving complex business problems. Originally from the USA, he has called Asia home for the last 15
years.
While going through our magazine, you must not miss out the articles such as; Are humans on the
verge to drop their jobs?, Will Artificial Intelligence Narrow the Bridge between Humans and
Machines?, and Impacts of Artificial Intelligence has Started Resonating in CRM Industry from the
Editor’s Pick. How to strengthen your security posture using artificial intelligence and AI: From
Artificial to Authentic from the View of some of the Successful Leaders.
Hope this edition of ours will create a mark on your mind.
Suhel Mashayak

6. Cover
Story
A.I. TECH:
Amalgamating
A.I. with
Human Life
08
16
INTERVIEW WITH
INSIGHTS SUCCESS
Josh Ziegler: A Curious
Entrepreneur Defining
the Boundaries
of Innovation
CON
10TS

7. APP ORCHID:
A Specialist in the
Science of Artificial
Intelligence and
Cognitive Computing
18
DOTIN:
Tapping into Subconscious
Behaviors of Human to
Provide Accurate and
Powerful Business Outcomes
24
FOGHORN SYSTEMS™:
Delivering Business
Outcomes for Industrial IoT
28
KONO.AI:
Your Advanced
Scheduling Partner
32
ROBIN MEDIA:
Your Personal
Concert Doorman
38
TANJO:
Improving Businesses,
Industries, and People's
Lives by Bringing Machine
Learning and Automation
to the World
42
AI: From Artificial
to Authentic
How to strengthen your
security posture using
artificial intelligence
20 30
18 24 28
32 38 42
EDITOR'S PICK
Will Artificial Intelligence Narrow
the Bridge between Humans and Machines
40
FUTURE TRENDS
Are humans on the verge
to drop their jobs?
22
INDUSTRY INSIDER
Impacts of Artificial Intelligence
has Started Resonating in
CRM Industry
34
Articles

9. sales@insightssuccess.com
Corporate Ofces:
March, 2018
Database Management Stella Andrew
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Research Analyst Chidiebere Moses
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Editor-in-Chief Pooja M. Bansal
Anish MillerSenior Editor
Executive Editors Jenny Fernandes
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Associate Designer Mayur Koli
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Business Development Executives
Marketing Manager John Matthew
Managing Editor Suhel Mashayak
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Sales Executives
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10. THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
A.I.Tech:AMALGAMATING A.I. WITH HUMAN LIFE
‘‘
‘‘
Cover Story

12. e all are developing at an immense pace; let it
Wbe for a business or an individual, development
has become the new norm. But with
development comes the most dreadful challenge of
providing optimum security to one’s assets. When we
generally talk about security the first and foremost thing
that comes to our mind is “Surveillance Camera,” But again
here a question arises; are traditional surveillance cameras
self-sufficient to provide us the optimum level security? The
answer is no! So to provide a solution to the above mention
dilemma A.I. Tech came into the picture.
A.I. Tech is an outstanding company, where they strive to
conceive, design and make systems realize as well as enable
them to produce intelligent surveillance cameras. Indeed,
they transform the way in which a camera sees the objects.
At A.I. Tech they produce video analytic plugins that can be
installed on board of surveillance cameras that not only
observe the scene, but also they are able to discover what it
is happening through the recognition of the objects and the
analysis of their behavior.
An experience of more than 25 years in research in the
fields of Artificial Intelligence and Artificial Vision,
combined with skills in the engineering of hardware and
software solutions and on designing of embedded systems,
allows A.I. Tech to propose innovative and advanced
solutions in the field of intelligent video analysis.
The Inception Story of A.I. Tech
A.I. Tech started its operations in 2010. Though the
company is young, but their experience in the field of
intelligent video analysis is much older. Indeed, it comes
from the academic background of its founders. They were
all professors and researchers of the University of Salerno,
in the south of Italy, having a several-decade-long
experience in A.I. Such experience guarantees to the
company a very competitive advantage in terms of the
reduction of both cost and time for producing innovative
solutions, if compared to other companies which operate in
this field and which are typically bound to collaborate with
the universities or research institutions in order to innovate
their products.
Since its creation, the mission of A.I. Tech has been to bring
innovation and to add value in all the fields where some
“eyes” (the camera), combined with a “brain” (A.I. Tech’s
software) could help in solving a problem: security, retail
and traffic management, just to mention a couple of
examples. Indeed, a camera with a video analytic plugin
can help the human in accomplishing a task in less time,
and also sometimes doing something that a human (alone)
could not do.
OUR
PRODUCTS
ARE THOUGHT TO
COVER A LARGE
OF MARKETS,
FROM VIDEO
INTELLIGENCE
AND TRAFFIC
MONITORING
AMOUNT
SURVEILLANCE TO BUSINESS
‘‘
‘‘

13. Outshining Competitors with Innovative Solutions
Thanks to a consolidated and deep knowledge in artificial
intelligence and artificial vision methodologies, A.I. Tech
has become a leader provider in video analytic solutions in
several vertical markets: Security, Traffic Monitoring and
Retail are the three main target markets for A.I. Tech, where
the video analytic products can be really useful.
Below are some glimpses of the utilization of the video
analytics in the above mentioned fields:
Security Market:
In a traditional video surveillance system, the camera
acquires the video of a given scene to be protected, the best
case being a human operator visualizes the videos alerts the
security if something susceptible happens. Anyway, some
psychological studies confirm that “After 12 minutes of
continuous video monitoring, a human operator will often
miss up to 45% of screen activity. After 22 minutes of
video, up to 95% is overlooked”. The aim of A.I. Tech is to
help the human operator in his boring (and often not really
effective due to the physiological overcharge issue
mentioned above) monitoring task, by making these
traditional surveillance cameras smart, with the advanced
artificial intelligence and computer vision algorithm
developed by its team. These AI plugins can understand
what is happening in the scene. It can trace and alert
whether the baggage was abandoned in the airport or in the
train station; whether a person intruded into a factory or a
bank; it can detect any suspicious behavior near an ATM or
any emergency happened with an old member of a family
whether in the hospital or in his or her own apartment.
Traffic Monitoring:
Video analytic plugins created by A.I. Tech are very useful
also for making the roads “smart”. Traffic monitoring and
accident incident detection are two important issues that the
A.I. Tech plugins are able to address. Indeed, a smart
camera, provided with A.I. Tech plugins, is able to track the
number and typologies of vehicles crossing a road or detect
the queue; can identify the vehicle taking the wrong side of
the road, a pedestrian crossing a highway or a car stopping
in a forbidden zone. A way to make people feel safe on the
road!
Retail Market and Store Optimization:
“If you do not know it, you cannot manage it. And you
cannot improve it.” Thus, the starting point of each retailer
is to know their stores, so as to improve their performance.
A.I. Tech provides the way to identify and analyze the
customer behavior in a retail shop and thus enhancing the
customer satisfaction and business growth: the number of
persons entering a store; the time spent by a person in front

14. DO
SECURE
YOUR BANK OR YOUR
ENVIRONMENT?
TECH HAS THE VIDEO
ANALYSIS SOLUTION THAT
FITS YOUR NEEDS
YOUR PLANT,
YOUWANT TO
A.I.
of an advertisement content shown on a monitor; the gender
and the age of the persons entering the store; the time spent
by a customer while waiting for paying; the number of the
persons stopping in front of a product of interest in the
store. To sum up, these smart video plugins act as an
intelligent sensor which is proved to be beneficial for the
retailers.
Major Contributing Factors:
The A.I. Tech has several decades of experience in the field
of Artificial Intelligence. The resourceful team of A.I. Tech
with its splendid research ethics helps the company to
produce great results and makes the products more
cost-efficient and time saving.
“The clients believe in our methodologies, skills, passion,
dedication and integrity which make them choose us again
and again”, quotes the zealous leader.
Clients Speak
“We are working to change the way Surveillance Camera
can be used in many applications. - declares Fabio
Andreoni, Country Manager for Italy and Greece for
Hanwha Techwin Europe - Our new range of camera based
on Wisenet X DSP plays an important role as enabling
technology in this direction.”
“A.I. Tech has been able to exploit at its best the powerful
processing capability of our camera, developing interesting
and cutting edge algorithms, for application in Security,
Intrusion detection and Business Intelligence for Retail
Market. Their advanced and effective video analytic
applications run directly on board of the camera,
demonstrating how the future of Professional Video
Surveillance looks like.”
“Our company - declares Andrea Hruby, CEO of
HESA - has been a leader in the security sector for fifty
years as the first distributor in Italy and is the reference
point for all professionals in the sector who need access to
the most modern and advanced equipment selected from the
best manufacturers all over the world. In this scenario, we
place our collaboration with A.I. Tech, which represents an
excellent partner able to offer the high level that has always
characterized our proposal. It is therefore a great
satisfaction to celebrate and share with A.I. Tech the
important goal achieved, the result of great commitment,
technological innovation, research at the highest levels and
team spirit.”
‘‘
‘‘

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17. ManagementCompany Name
AI tech
aitech.vision
A.I. Tech is an outstanding company, where they strive to
conceive, design and make systems realize as well as enable
them to produce intelligent surveillance cameras.
App Orchid
apporchid.com
Krishna Kumar
CEO & Founder
App Orchid Inc. is a Silicon Valley based software
developer specializing in the science of Artificial
Intelligence and Cognitive Computing.
Dotin
dotin.us
Ganesh Iyer
Founder
FOGHORN SYSTEMS
foghorn.io
David C. King
CEO
FogHorn is a developer of “edge intelligence” software for
industrial and commercial IoT application solutions.
Tanjo
tanjo.ai
Richard Boyd
CEO
Tanjo teaches people how Machine Learning and
Automation are changing their industries, and builds
solutions that achieve the right balance between humans and
automation to optimize outcomes.
Dotin is dedicated to understanding the art of decisions
made by the subconscious mind to yield powerful
business outcomes
Hanalytics Pte Ltd.
hanalytics.sg
Joe Wu
Founder
Hanalytics is a big data analytics and artificial intelligence
company that specialises in exploiting deep learning techniques
such as Deep Neural Network (DNN) to uncover insights and
to create predictive applications in the healthcare sector.
Brief
Alessia Saggese
Founder & CEO
Mario Vento
Co-owner
Robin Media
tryrobin.co
Adam McIsaac
CEO
Robin helps businesses and consumers when booking tickets
and reservations for amazing live events and experiences.
Loop AI Labs
loop.ai
Gm Calafiore
CEO
Loop AI Labs is working to radically change how machines can
autonomously learn and understand the human world, mirroring the
same learning process that humans use.
Kono.ai
kono.ai
YJ Min
CEO
Kono.ai is the most skilled assistant that would help in
arranging official or personal gatherings.
jumper.ai
jumper.ai
Yash Kotak
Founder
jumper brings shopping to where your customers are -
Facebook, Instagram, Twitter and Youtube - and helps you
sell directly in social media and anywhere else you do
business.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8

18. osh is the founder and CEO of Zumata, a
Jleading-edge technology firm that embraces and
deploys cutting-edge technology. An avid tinkerer, he
seeks out new challenges and opportunities with a keen eye
to ‘making things better’ whether that’s making a tastier
pizza or solving complex business problems. Originally
from the USA, he has called Asia home for the last 15
years.
1) First of all, what is your definition of AI?
I am reminded of a favourite line from George Costanza on
the TV show Seinfeld. In one episode, George suggested
the name ‘Soda’ to an expecting mother who was having a
tough time choosing a name, and then congratulated
himself by saying, “I solve problems. That’s just what I
do.”
To me, this sums things up nicely. AI is a set of tools to
solve problems.
2) Ok, I know you’re using AI for complicated
problems around enormous data sets, hotel pricing,
Josh Ziegler:
A Curious Entrepreneur Dening
the Boundaries of Innovation
| MARCH 201816

19. image recognition, etc. in order to improve operational
efficiencies in hotel distribution. However, what are
some consumer facing problems you’re solving that
impact our readers’ daily lives?
Some of our solutions solve behind-the-scenes types of
issues, while others address everyday problems.
In term of our daily lives, we’re automating conversations
to give customers better, faster, and more relevant
information to their queries. We focus our efforts on
problems in a few key areas - advisory and sales as well as
customer support.
Let’s take an example. Assume Sally wants a new credit
card. Her first stop is her bank’s website. Her problem is
that the bank has 20 different cards, and each one sounds
fantastic. Which one is best for her? Does she really want to
read all the fine print? Nope, she just wants a card that
meets her needs, gives her certain perks, and allows her to
get back to her day.
With the help of a chatbot, she can directly ask for what she
needs, “I want a card that gives me cash back on things I
buy every day and has no annual fee.” The bot can
immediately answer, “The Regular Joe Card gives you 2%
cash back on groceries, 1.5% back on restaurants, and 1%
back on gas. The first year annual fee is waived. Would you
like to apply?”
In this scenario, Sally gets precisely what she wants and the
bank closes a ‘sale’. This scenario can play out equally well
for travel, insurance, shoes, or toothpaste…the product line
doesn’t matter.
Every business has customers needing information and
advice on which products fit their needs. The problem is
how to best distribute information and advice at a cost that
allows profitability. AI makes it possible to deliver targeted
advice and sales at a fraction of the cost of traditional
methods. It’s a win for the customer and a win for the
business providing the product or service.
Of course, customers also have post-sales servicing
requirements. Customer service reps take a beating, as the
current approach to service is painful for both the business
and the customer. Customers wait on hold, wait for days for
email replies, or deal with overworked agents tending to
many simultaneous conversations on live chat. Do you
cringe at the thought of getting in touch with customer
service? I know I do!
From the other side, if businesses wish to improve service
quality, previously the only choice was to bear significant
costs of increased manpower. Customer service is typically
viewed as a cost-center, and as such the dynamics are setup
for a miserable customer experience.
AI is changing this, and Zumata is allowing customers to
get instant responses to their questions absent human
involvement. Do you recall what it was like to call your
stock broker for a quote? What a hassle! The web made it
easy to get some information effortlessly, and now AI is
filling in the rest of the gaps.
Combining the ability of automation to answer customer
service queries while advising on new and highly targeted
products can transition customer service from cost-center to
revenue driver. Better still, AI agents work 24/7, don’t take
breaks, speak many languages, are always friendly, can be
easily trained, and cost a fraction of traditional customer
service operations. These significant business advantages
materializes in vastly improved response times, better
accuracy, and significantly less annoyance for the customer.
Bottom line, we’re using AI to solve problems faced by
both businesses and the customers they serve.
3) So, you’re saying is, “AI is a problem solver.
That’s just what it does”. What role do you see AI
playing in the future?
AI is talked about extensively, and everyone has an opinion.
What I can say for certain is that if a company is not
embracing the technology, it will fall behind. As a
consumer, if you’re not choosing brands, products, or
services that are supported by advanced technology, you’re
probably making your life harder and less enjoyable than it
could be. AI is making our lives better by removing
obstacles, personalizing content, and allowing us to be more
productive.
As for the future, AI is increasingly everywhere, and I don’t
think we can predict the true ramifications of its use or the
eventual outcomes of its application. Progress is
unstoppable, and the pace of change is ever accelerating.
It’s a race, and I’d definitely prefer to be at the front of the
pack.
INTERVIEW WITH INSIGHTS SUCCESS
MARCH 2018 | 17

20. APP ORCHID:
App Orchid was established in
2013 by Krishna Kumar, an
entrepreneur with an extensive
experience in founding and
establishing successful companies.
Based in the Redwood City, App
Orchid has grown exponentially with a
widespread customer base in
healthcare, insurance, and energy
verticals. Within a short span of 24
months, the company has deployed its
AI technology at multiple client
locations, and grown to over 70
employees with an annual revenue
growth rate of over 500% and with
approximately 10M in annual
revenues.
App Orchid’s product suite primarily
deals with vast amounts of
unstructured data (like Word
documents, PowerPoints, emails etc.),
structured data and IoT (Internet of
Things) data. It takes on an “App
based” approach allowing
organizations to take smaller bites,
while being able to test and try out
advanced AI concepts without
overwhelming their operational
systems. Such a non-invasive approach
allows enterprises to “test-drive” their
business functions and check the
viability of applying revolutionary
digital technologies against their
landscape.
App Orchid is the only company that
delivers a rich template of prebuilt
business procedures that support rapid
test driving and deployment of AI
applications. The insights delivered by
the data make it easy for business
leaders to determine ideas that are
viable and those that don’t work. Using
a unique approach based on a
technology called the “semantic web;”
which performs knowledge discovery,
i.e. discovering relationships between
the data points and knowledge
acquisition, time to market and the cost
of deploying the application in a
production setting is dramatically
reduced.
Rendering Wide Range of Solutions
that are Proving their Supremacy in
AI space
App Orchid provides a wide range of
solutions from Energy Management,
Insurance Risk Assessment, and
Underwriting to Clinical trials for
personalized medicine, and targeted
therapies.
Energy and Natural Resource
Management: App Orchid’s AI
technology helps to integrate complex
wind and solar energy profiles into an
electric grid. Using high performance
machine learning, the AI apps can
identify sections of the electric grid
that are prone to failure and fix these
inconsistencies before they cripple the
grid.
Actuarial Analysis (Risk Management)
for Insurance: App Orchid can help in
combining unstructured documents
like compliance, regulations, market
rules, and regional mandates with risk
analytics for superior risk profiling and
evaluation.
Catastrophe Risk and Damage
Analysis for Utilities and Insurance:
Incorporate historical weather patterns,
news, research reports, and social
media, into calculations of risk from
potential catastrophes to price coverage
or determine prudent levels of
reinsurance.
Targeted Risk Analysis: With the
wealth of individual information
available on people and organizations,
App Orchid makes it possible to apply
AI and cognitive computing principles
to provide risk profiles targeted down
to an individual. For example, a
Facebook profile of a mountain
climbing enthusiast would indicate a
propensity for risk taking that might
warrant a different profile than a golfer.
By unifying unstructured data across
historical claims, App Orchid makes it
possible to establish ground rules (or
quantitative metrics) across fuzzy
A Specialist in the Science of Articial
Intelligence and Cognitive Computing
| MARCH 201818

21. Our mission is
to create
‘apps’ that
make the
internet of
everything
think like a
human brain
baselines, which was previously not
possible.
Targeted Therapies in Drug
Discoveries: By combining complex
genomic data with electronic medical
records, unstructured diagnosis reports
and toxicology reports, the App Orchid
AI bots can predict drug efficacies,
toxicity, and viability across several
conditions. Such powerful tools can
dramatically help Life Science
companies formulate personalized
therapies thereby increasing the
predictability of a success in a drug
pipeline.
Accomplishments in Recent Times
App Orchid has over 15 enterprise
customers implementing over 25 use
cases with application of technologies
from SAP and IBM amongst others.
For these groundbreaking projects, the
company has won multiple accolades
such as SAP HANA Innovation award,
Gartner cool Vendor for 2016, Top 15
companies to watch, Silicon Reviews’
Top 50 companies to watch amongst
others.
Leading Personality of App Orchid
Krishna Kumar is the CEO and
Founder of App Orchid. He is an
entrepreneur and an innovator with
proven expertise in taking concept to a
market-leading industry recognized
commercial product. Under his
leadership, App Orchid has emerged
out of stealth mode with 3 products
that are set to revolutionize Cognitive
Computing, Machine Learning, and the
“Internet of Everything” markets.
Future Endeavors
App Orchid has plans to extend its
platform using next generation
computer technologies like GPU to
gain deeper insights in healthcare,
insurance, and energy. For example,
App Orchid is currently working on
using AI to analyze medical images
and mammograms that will help in
cancer detection at a very early stage.
Although this type of research is
already underway across several
institutions, the AI platform approach
is unique as it combines large volumes
of unstructured and other third party
contextual data sources to influence its
training algorithms.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
‘‘
‘‘
Krishna Kumar
CEO & Founder
MARCH 2018 | 19

22. With so much attention focused on Artificial
Intelligence (AI), it’s worth remembering that
one size does not fit all. There are specific
business-related pain points in mind when a company
decides to deploy AI technology, so making the right
choices can be a tricky task.
For example, several months ago, an AI related
breakthrough was announced – a robot learned and
demonstrated the ability to perform a perfect backflip.
While it is well acknowledged that the invested research
and development for this mission was huge and the
commercial potential for some applications is enormous, it
is somewhat unclear how this specific innovation or the
core models and algorithms of it, can serve other industries
and verticals. Herein lies the problem.
Gauging AI success in one field in many cases can be
meaningless for another. To make things worse, even when
trying to go deeper into the technology and attempting to
evaluate, for example, which Machine Learning algorithms
are utilized by the product, or what are the number of
layers in the Deep Neural Network models mentioned by
specific vendors, in the end it will be possibly pointless as
it does not directly reflect the solution deployment
‘success’ implications.
Nevertheless, it seems that the market ignores this reality
and continues to evaluate AI-based products by buzzword
checklists using familiar and related AI terminology (e.g.,
AI:From
Artificial
to Authentic
About the Author
Mr. Jay Klein drives Voyager Lab’s technology
strategy and core intellectual property. He brings
more than 25 years of experience in data analytics,
networking and telecommunications to the Company.
Before joining Voyager Labs, he served as CTO at
Allot Communications where he steered Allot’s data
inspection and analytics core technology offerings,
and as VP Strategic Business Development at DSPG,
where he was responsible for strategic technology
acquisitions. He also co-founded and held the CTO
position at Ensemble Communications while founding
and creating WiMAX and IEEE 802.16. He also
served as the CTO and VP of R&D at CTP Systems,
acquired rst by DSP Communications and later by
Intel. Jay Klein holds a BSc in Electronics & Electrical
Engineering from Tel Aviv University as well as
numerous patents in various technology elds.
| MARCH 201820

23. Supervised, Unsupervised, Deep Learning etc.). While
checklists are an effective tool for comparative analysis it
still requires the ‘right’ items to be included.
Unfortunately, what typically is absent are the items which
are important to the customer, from a problem-solution
perspective.
Introducing Authentic AI
Given all of this, there is a need to change the narrative
around AI technology and solutions to something
meaningful and authentic that reflects the real-life
challenges and opportunities that businesses are facing.
This is the time to introduce Authentic AI.
The Merriam-Webster dictionary defines ‘Authentic’ as
both ‘worthy of acceptance or belief as conforming to or
based on fact’and ‘conforming to an original so as to
reproduce essential features’. This is not about ‘Fake’ to be
contrasted with ‘Real’. It’s about the essential features of
AI which need to be acknowledged, and hence, redefine
the ‘checklist’. Often, these essential ‘authentic’ features
are hidden and only surface when a CIO/CDO is faced
with a new problem to be solved. This is seen especially
when the AI aspects of a proposed product or solution are
fully explored by asking questions such as:
- Is the AI technology utilized by the product aimed
specifically for my problem, optimally (e.g.,
performance, cost, etc.)?
- Is it capable of addressing the complete problem or
only a part of it?
- Can it be assimilated into the existing ecosystem
without imposing new demands?
- Can it address the compelling environmental
conditions of the problem space?
These issues can be grouped into three different ‘classes’ -
‘Original’, ‘Holistic’ and ‘Pragmatic’:
Original – How innovative is the solution? This can be
quantified by assessing the following:
- the invention of new algorithms or even new models
and
- the use of complex orchestration techniques or
- through the capability to handle complex data formats
and structures.
While there is no need to re-invent the wheel repetitively
for any problem, there are distinctive characteristics which
require optimizing.
Holistic – How complete is the proposed AI technology? It
takes into account the capability of handling the end-to-end
aspects of the solution, the competence of harmonizing the
operation of the various AI components of the solution and
the ability to adapt to ever changing conditions of the AI
application.
Pragmatic – Can the technology solve real world
problems in their actual and natural space in a
commercially viable way? This means that for example the
data sources can be processed in their most native format
(both unstructured or structured) as well as provide
insights or results matching the pragmatic needs of the
specific market expectations. In addition, the ability to be
quickly deployed and rapid to act are assessed.
All of these elements should be used to systematically
assess and evaluate AI-based products and solutions to
assess their authenticity and therefore effectiveness in
specific use cases.
For example, many home-loan mortgage evaluation and
recommendation systems utilize a somewhat isolated
machine learning based applicant classification method,
one of many other processes included within the solution.
The AI in this solution cannot be considered Authentic AI
to a high degree as it ‘scores’ low on the ‘Original’ and
‘Holistic’ classes as it isn’t innovative ‘enough’ (from an
AI sense). In addition, the AI component itself does not
cover on its own the end-to-end aspects of the solution
(hence affecting the overall performance and precision). It
could be considered to be ‘Pragmatic’ to some level if it
can handle the required data sources of financial
institutions or the customer applications natively, and if the
solution ‘output’ are the explicit results required as a
specific recommendation (e.g., loan conditions). However,
the deployment timeline (time-to-market) and commercial
aspects need to be evaluated as well. This is just one
example of many others, covering all kinds of variations.
Perfect backflips may grant you a gold medal if you are a
gymnast but if you are a master chess player don’t expect a
winning move.
MARCH 2018 | 21

24. he coming years will spectate a time
Twhen the entire work place would look
different. Half of the world has already
been infused by Artificial Intelligence. In this
technology driven life, people seldom have time
to waste. Today there is an alternate to every
problem that linger humans. Let it be about
automated or smart cars being used to move
around, or taking help of “Siri” ‒ the personal
assistant to help with directions, make a call or for
any kind of service. The auto generated texts that
is received from banks, Facebook wishing
birthdays, reminders or events set in calendars,
email filtering spam messages are all performed
through automation. Thus, AI has its influence in
every aspect of one’s life.
The world today is moving in a swift manner and
there is a shift at how we live, move and
communicate. Time seems to be barrier here as
everyone is in rush to adapt to the changes. As
humans, communicating to another being is very
important. There are automatic secretaries that
help in arranging such gatherings with all the
necessary information. Everything out in the
world is just at finger tips away. Scheduling
meetings, ordering grocery, making dinner plans,
ordering food at work or at home anything is
possible. Technology has opened up infinite
opportunities and the growth of technology in
such a small span of time is commendable. How
much easier can life be with the help of these
technologies? The answer lies in future.
Considering the changes that have occurred in
past few years, it can be assured that AI is
growing and the scopes are infinite.
Robots to live midst us
The alluring thing about humans is that they are
always looking for something new and they strive
ARE
HUMANSON THE
VERGETO DROP THEIR
JOBS?
| MARCH 201822

25. to make their lives easier. It doesn’t need a genius to know
that the drastic change in every ones lives and the
implementation of AI is the outcome of human thinking and
hence it won’t be startling if robots would actually live
amongst humans. If such a thing happens then the work
load on humans would be reduced to minimal. Is that a
good thing or bad? However from the outside this new
world that would emerge seems like effortless. Most of the
hazardous tasks like defusing a bomb, working at coal
mine, using heavy and dangerous machines and even at war
field would become less of a nightmare. Among other
things AI is playing a major role in business and other work
fields
which give a
possibility of robots
replacing workers in
the market.
As a coin has two sides, this
initiation could have drawbacks,
but there is brighter side too. If
workers are being replaced with robots
then there would be higher productivity and
lesser time consumption. There would be a
change in the graph of economic growth too. For
example automated surveillance can be a boon to the
entire mankind. Improved machine tools like 360 degree
video cameras, sensors that can cover all kinds of images
that pass by will bring a massive change. It might even put
the jobs of security guards at question but this change will
be a turning point. It can reduce the risks of thefts
and other incidents.
There is another masterpiece of AI that can be
called as the game changer. AI robots are replacing
receptionists. Handing multiple clients can be tiring
and can at times even create confusions and thus
replacing humans with robots is both impressive
and time saving. Imagine how it would feel like
when you are entering a museum and you are
welcomed by a robot who gives you a quick,
precise and clear tour of all the things in that
museum. How wonderful is that? Robots can even
be replaced by workers at factory. This brilliant step
has lots of advantages. Workers at coal mine sites or
any such mineral sites are always prone to danger,
the replacement of humans by robots can reduce
this risk and also it will be helpful in increasing
productivity. Similarly AI robots can take over
works of a driver, data analyst, delivery boys,
advertising salesperson, telemarketer, bookkeeping
clerks and many other such strenuous and boring
jobs. That is not all they can be also be useful in
other high intelligent jobs like that of an accountant.
A robot will never go wrong with calculations and
numbers.
Are humans ready for this change?
The biggest fear that lingered humans since years
was what will happen to humans if robot takes
over? Seems like humans are about to get their
answers. AI robot is not a dream anymore rather it
is the hard truth that the coming generation has to
face. According the reports released by McKinsey
& Company, 800 million workers would be
replaced by robots worldwide by the year 2030. The
report also stated that the countries with advanced
economies like U.S and Germany up to one-third of
work force might be replaced by robots by the year
2030. Does this suggest that the workers would
have to learn other skills and find other jobs? The
future looks both scary and impressive and what
does it has in store can only be unfolded with time.
MARCH 2018 | 23
FUTURE TRENDS

26. DOTIN:
Human Resource and
e-commerce are going
through heavy inflection
point and are at the door step to be
disrupted. The techniques used are
very traditional and outdated that is
overlooking maximum data from this
digital revolution which could help
personalize both users and business to
make informed decisions. Artificial
Intelligence and Machine Learning has
been in the evolution of making one’s
life better. It would definitely have an
impact of obsoleting some of manual
jobs, but also help in creating new
opportunities. One of such leading
company is Dotin, which is pioneering
firm, which provides an unbiased and
pervasive technology that enables
business outcomes benefitting both the
users and business.
Dotin outshines its competitors
because its business-to-business AI
SaaS platform capturing unbiased
personality of a user (buyers or
employee or applicants) using digital
assets primarily images extracted
through digital footprint of a user. They
have come up with a unique IP of
understanding the true personality of
the users by analyzing the
subconscious drive or motivations of
users through the images. Images were
users have taken positive action. Like
in social media it considers images that
users have uploaded. It can even
consider images of products which are
personal accessories and come out with
potential business outcomes to come
back with true persona and very
powerful business outcomes. They also
consider the conscious mind set data
like clicks, user actions including CRM
data to create powerful business
outcomes. What makes them different
from their competition is these
subconscious drive along with
conscious mind data is translated to a
very tangible business outcomes. Such
data can be leveraged by enterprise to
generate sales leads, do targeted
marketing, better customer
segmentation, personalization in
ecommerce, help with applicants find
the right job or employee hiring
decisions (finding the right cultural fit)
and even helping with employee
engagement and retention.
Evolution of Dotin
Dotin was founded in 2014 by Ganesh
Iyer to address his personal pain
point- “how do I connect with a
like-minded professional” to either
grow the business or career. As a part
of this journey he along with handful
of data scientist and psychologist
started exploring the ways of
understanding the true personality or
motivations of the users to make better
recommendations. During the course
of exploration of identifying the true
personality what they realized is that
they need to pay closer attention to the
subconscious actions of the users that
captures 90% of users’ personality and
decision making technique. It took 3
years to build the base model with lot
of experiments with live people
training the Machine learning model,
where it has built an ability to predict
users’ core personality and
motivational instinct without asking
any questions. The insights, thus
created, can be used to hire the right
cultural fit talent (without asking a
single question), team building,
employee engagement, employee
career growth, e-commerce buyers
personalization, targeted marketing,
customer market segmentation, warm
sales lead generation and many more.
Helping Right Employees Meet the
Right Employer & ViceVersa
In the Human Resource vertical, Dotin
allows applicants to find the right job
and team based on their cultural fit into
an organization. This also helps
recruiters hire the best cultural fit
without asking a single question. This
helps in the time to hire the right talent
which is about 2 months reduction in
finding the right talent and remove up
to 80% subjectivity from the hiring
process. It helps in enhancing the talent
engagement, there by retention.
Taking online shopping experience
to the next level!
In the e-commerce vertical, Dotin
removes the clutter and present the
products and offers that resonates with
the users thereby enhancing the user
satisfaction and loyalty to the business
or the brand. The recommendations
Tapping into Subconscious Behaviors of Human to
Provide Accurate and Powerful Business Outcomes
| MARCH 201824

27. that they provide is going beyond the
CRM data. i.e. what else the users may
buy apart from their past purchase
history, tagging personality to CRM
data. This eventually leads to upselling
and exponentially growing the
business.
Dotin is still a growing venture and so
far has been honest, treating team
members with respect, being
transparent and has enabled an
environment of ‘trust’ that is bringing
the best of all to make a positive dent
in this world. It is a ‘Personality DNA
company’. Defining itself with a new
category with a mission of capturing
the true personality of the users so that
business outcomes derived becomes a
lot more tangible.
Awards, Achievements, Recognitions
Received
· Selected as Top 25 Innovative HR
solutions for 2018 by CIO Review
Magazine.
· Selected as Top Startup at 2018
Silicon Valley International
Entrepreneur Forum (SVIEF) AI
+ Big Data Conference,
California.
· Selected for BRIIA.IO and
TECHCODE Artificial
Intelligence (AI) Accelerator
Program.
· Top 20 Promising Cognitive
Solutions for 2017” along with
IBM Watson by CIO Review
magazine
· “National Institute of Health
(NIH)” providing grant as obese
users were getting healthier using
our platform.
· “Top 3 Hottest Start-up” Collision
2017
· “Top 3 Hottest Fintech/Insurance
Industry Start-up” Silicon Valley
Financial
Technology
Executive Workshop
2017.
· Selected for
“CES2017 Eureka
Startup Program”
· Selected by Google to
get ‘High-Touch’
Marketing support for
Free.
· Featured in various
articles including VentureBeat,
Engadget, KR36, and World
News.
Footsteps towards Future
Dotin is pioneering in creating a new
industry category – ‘The Personality
DNA Company’, by taking
personalization to the next level,
making ‘Search’ obsolete. i.e. To
present the content to the users as they
are thinking without having them even
search for it. This can only be achieved
if you understand the true personality
and motivations for the users! It is a
team of passionate technologists from
Silicon Valley who are dedicated
towards understanding the art of
decisions made by the subconscious
mind to yield powerful business
outcomes.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
Capturing
the true
digital
personality
ngerprint of
every user to
yield very
powerful
business
outcomes
‘‘
‘‘
Ganesh Iyer
Founder
MARCH 2018 | 25

30. ROBIN MEDIA:
usic is not just an art, it’s a
Mlifestyle. There is nothing
more soulful than being
able to appreciate and enjoy music.
For any major event, acquiring tickets
is a headache. There is nothing worse
than when the tickets are either not
available or sold out. The feelings that
rush in start with anxiety and end in
disappointing heartbreak when you
inevitably miss being able to watch
your heroes ‘live’. But one company
has solutions to all these problems:
Robin Media
What makes Robin different? The
answer lies in two words: Artificial
Intelligence. AI may make half of
today’s jobs outdated in the coming
twenty years. With the innovations in
technology brought by startups like
Robin, there are limitless possibilities
of AI. AI has been redefining and
strengthening to combine and run
human-based businesses in a new and
improved ways.
Robin Media: The Inside Story
Founded in 2016, Robin Media is a
personal concierge for live
experiences. Robin aggregates and
helps customers and businesses get
tickets to shows of their choice through
personal data points. The man behind
this refreshing thought is CEO Adam
McIsaac.
This technology startup mines
consumption and social data from
customers to help them discover and
access the best live events and
experiences that are relevant to their
needs, budget and preferences. Robin
provides tickets for shows including,
theatre, concerts, sporting events and
any other live event.
Unlike many other businesses, the
hassles of acquiring tickets are
minimal; here the tickets are just few
clicks away. Tickets can even be
acquired by just dropping a text to the
‘Robin’ team and can even makes
tickets available before they even go
on sale.
Standing Apart while Outshining its
Competitors
Embracing new opportunities and
breaks, Robin has also launched Robin
Professional to help SMB and larger
organizations to help their employees
experience live experiences for
corporate entertaining, gifting and
employee rewards. This was launched
as a result to their discovery of need
gap for business and has launched with
major success. Robin partners with
businesses to procure amazing live
experiences for a corporate offering.
Embracing Technology
The advancements in technology have
opened a new platform to all kinds of
business in the market. Like many
other organizations, Robin has
welcomed and accepted this change.
The team at Robin Media is excited
about ‘Machine Learning’ and how it
can be used to match consumers and
suppliers in the live experience space.
They also agree that personalization
would be one of the key themes for all
e-commerce companies. “We think
personalization is going to be a key
theme for all e-commerce moving
forward” says Adam. “The application
of machine learning ensures that a
store and its products are tailored to
each individual customer’s needs and
desires. New customer, new store.”
Winning Titles
Robin’s first milestone achievement
was being a part of the Techstars Music
program in Los Angeles soon after
their launch – ahead of more than
1,000 applicants. Adam comments on
this opportunity as “an incredible
experience to be able to work with the
leaders in the industry”. Robin has also
successfully launched an experimental
project with a national professional
services firm to help all their
employees access amazing live
experiences for clients - and also they
have been selected to be a part of the
SXSW accelerator program in 2018.
In Store for Future
In the coming years Robin sees itself
as an essential part of everyone’s
life – including businesses - and
making sure that the end needs are
pulled together. They are working
Your Personal Concierge for Live Experiences
| MARCH 201828

31. towards eliminating the crisis of people
getting bored and providing them with
an easy and simple answer of ‘what
should they do tonight?’ while giving
businesses a simple tool for corporate
benefits and entertainment. However,
their long-term goal is to be the
‘Netflix’ for live experiences where no
one would run out of options. The team
is currently aimed at making ‘Robin’, a
household name.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
Our aim to
make Robin
everyone's
trusted
sidekick for
discovering
and
accessing
amazing live
events and
experiences
‘‘
‘‘
Adam McIsaac
CEO
MARCH 2018 | 29

32. How tostrengthen
your security posture using
Artificial
Intelligence
ABOUT THE AUTHOR
Chris Morales is head of security
analytics at Vectra, where he
advises and designs
cyberattack detection and
response programs for
large enterprise
customers. With nearly
two decades of
information security
Chris is a widely
respected expert on
cybersecurity issues
and technologies
and has researched,
written and presented
numerous information
security architecture
programs and
processes.
Obstacles to stronger cybersecurity
The three biggest obstacles to
stronger cybersecurity are all about
skills and resources: lack of skilled
employees, followed by lack of budget and
lack of security awareness among employees.
The skills gap was not created just by a lack
of proficient security professionals. The
exponential growth in connected devices
means the amount of work required to monitor
and analyze all of them has grown in parallel.
My personal experience is that we have made it
too difficult for some very smart people to enter
our industry while asking some very talented
people who are already in cybersecurity
to take on a larger amount of busy
work.
Investment priorities
To address evolving security
needs in the coming year,
most organizations plan to
train and certify existing
IT staff to become
security experts. Most
cybersecurity
professionals started
their careers in IT and
| MARCH 201830

33. then migrated toward cybersecurity over time, usually due
to personal interest and self-taught ability. There is
something to be said about real world training.
However, we can’t rely on just career professionals; we also
need new recruits in truly entry-level roles. We need our
schools to start building the security analysts of tomorrow.
What we have discovered about AI is that it not only
reduces the workload for existing security staff, but it also
reduces the barrier of entry to security.
Most critical security skills
Attacks frequently compromise organizations, and fast
response is the only hope to reduce the impact. Performing
incident response effectively is a complex undertaking
requiring a high level of knowledge and a lot of work.
Establishing clear procedures for prioritizing the handling
of incidents is critical, as is implementing effective methods
of collecting, analyzing, and reporting data.
Without a well-trained and capable staff, incident detection
and analysis will be conducted inefficiently, and costly
mistakes will be made. Augmenting existing analysts and
junior staff using AI to create repeatable process and the
ability to manage large volumes of data at scale is the best
way to combat this problem.
The trick is to understand the correct way to apply machine
learning and what problem are you trying to solve. The
wrong tool can increase the time to accomplish a task,
waste valuable resources, or worse. Leveraging the power
of machine learning is no different.
Use attack complexity to your advantage.
So how does all this data science really ensure we find
attackers? It boils down visibility of the entire attack
lifecycle, which becomes a big data problem well suited to
data science. Attacks fundamentally all perform a lot of the
same behaviors as there is a certain sequence of events they
must follow to succeed.
By looking for all the behaviors that an attacker could
perform across the entire attack lifecycle, we dramatically
increase the probability of detecting attacks.
The more behaviors that are detected, the better the
awareness of the attack. By combining behaviors, we also
move away from the purely human based decision-making
process of what is an incident.
Cognito prioritizes the highest risks
Prioritizing the handling of the incident is perhaps the most
critical decision point in the incident handling process.
Handling should be prioritized based on the relevant
factors.
The outcome of the combination of multiple methods of
data science is the ability to instantly extract the attacks that
truly matter from the rest of the noise in the organization,
real or not. Machine intelligence detects events, triages
those events to a single host, and then prioritizes the ones
that matter most for fast analysis.
Improve incident response
Containment is very important. A good containment
strategy provides time for the security team to develop a
remediation strategy. An essential part of containment is
decision-making.
Such decisions are much easier to make if there are
predetermined strategies and procedures for containing the
incident. You need well-defined playbooks and options for
response based on the type of incident. By providing the
right context about an attack right when it happens, AI
provides the intelligence needed to make decisions about
what the right containment strategy is.
The best place to perform containment is within the existing
infrastructure already in place and to drive intelligence into
that infrastructure to create an intelligent incident response
process.
Workload reduction on analysts
When AI or machine learning is the foundation behind a
product, the promises that the product makes should be
specific and measurable. The power of these technologies is
in the numbers.
Man + machine delivers real world efficiency
The results speak for themselves. Across every type of
organization, there is a measurable trend with organizations
that have implemented AI to automate tedious incident
response tasks to augment the SOC manpower.
MARCH 2018 | 31

34. KONO.AI:
In today’s world people hardly
have time to waste on anything.
Everything is moving at a
breakneck speed. Let it be life,
business or technology, everyday
there is something new to look
forward to. In today’s world the only
limitation placed are at our
imaginations. Call humans lazy or
smart but since our existence we
have been looking for easier ways to
do our menial tasks. The biggest
advantage that came our way was the
progresses in technology.
Technologies have made lives much
easier and faster. Artificial
Intelligence (AI) is something on
which we have been working on for
decades. However, the recent
developments have been productive.
AI has invaded into the lives of
humans in every way possible.
Starting from transportation, cyber
technology, invention of robots,
solving climatic changes, enhanced
elder care and to run the business. AI
is now contributing their bit into
everything. Researchers and
scientists have commented on this
situation by saying that even though
they don’t know what the future has
in store, it is evident that soon
enough we would be interacting with
AI as our everyday activity.
In this fast pacing world how
efficiently are we successful at
planning a meeting? Above all much
time is being wasted to coordinate,
plan, schedule and reschedule. Let it
be for a personal meeting or business
meetings or any kind of gathering,
we tend to plan it quickly and
effortlessly. Practically none of us is
able to manage and plan things
without missing any crucial
information to be mentioned or
person to be invited. The chaos that
follows is well-known. The good
news is that Kono.ai; an artificial
intelligence secretary service
provider will now be the savior.
Not Just Any Secretary
Kono.ai is the most skilled assistant
that would help in arranging official
or personal gatherings. The
procedure is painless, and all that
needs to be done is to hire the
‘Kono.ai’ assistant and add the
‘Kono.ai’ mail id. This assistant will
later select and share the Google
calendar synced with your mail with
guests. Once the time is conformed
Kono would then circulate the
calendar invite. The concerns
regarding sharing your business or
personal calendar with an outsider is
not convincing at it sounds it to be.
Contrarily, Kono is willing to work at
a rough time frame. Apparently, if
the customer just sends a mail that
says, “Let’s find some time early next
week”. Kono would work with this
uneven timeline and find a proper
time to schedule the meetings.
For any gathering to be successful it
is important that the guest confirms
their arrival and also that the time
slot selected suits them too. In case
of amendments or any suggestions
regarding the time from the guests
side is also taken care off. Kono
accepts retorts from the invitees too.
They have programmed themselves
in such a manner that their operators
(AI) understand human language. Or
else, Kono has provided options
where the guests can opt according to
their preference.
Success Story of Kono.ai
Since the establishment of Kono.ai
on Nov in 2014, they have come a
long way. The brains behind this
amusing thought are of YJ Min,
Jaehoon Choi and Jung-hee Ryu. YJ
currently serves as the CEO and
Jaehoon currently is the CTO of this
startup. Jaehoon is also the founder
of his own startup named Opinion 8
which has been merged by Konolabs.
Jung-hee was the former CSO &
Founder of OlaWorks acquired by
Your Advanced Scheduling Partner
| MARCH 201832

35. Kono.ai is
designed in
a way that it
narrows the
gap
between
employees
and
customers by
providing the
intelligent
scheduling
agents
Intel for over $30mil. At present he is
also the Founder and CEO of
FuturePlay, a tech company builder
based out in Korea.
At Konolabs they use their big data
analysis machine learning tech for
the world’s professionals to focus on
their major job and not the dull tasks.
They found that the human
employees and their customers are
having huge gaps to schedule
meetings and calls which they have
taken upon themselves to help in
scheduling. One of the most
contributing factors behind their
success is the agile and diversified
research and development team. The
geeks at Kono.ai are well versed with
machine learning, mobile/web
product development and data
analysis.
Climbing the ladder of success,
Kono.ai was selected as one of the
acceleration teams of TAG Pass
Program in Singapore. Among the
other achievements includes the
winning of first prize at the Tech
Crunch Pitch Off event in Seoul in
Korea. They were mentioned in the
Venture Beat as one of the most
promising startups of 500 Startups
Batch 13.
Outshining among the competitors
Kono.ai argues that an average
worker spends 16.7 hours per month
in order to schedule appointments or
other meetings. Kono.ai has taken the
responsibility upon them to make this
task much simpler and in this manner
to manage time. They also beg to
differ as they promise to provide
better user experience on multiple
platforms. They believe that the
recent developments in technology
like Machine learning is powerful as
it would help in providing better
performance and accuracy in
understanding natural language. They
claim that security and scalability are
important matters for AI and ML
based services. But Kono.ai have
thought it meticulously and planned
to tackle one problem at a time.
Future Promises
The team at Kono.ai aims to solve
other problems and provide other
services apart from scheduling the
meetings but however, they would
stick to the basic goal of providing
innovative services to the world’s
professionals based on their patented
technology.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
‘‘
‘‘
YJ Min
Co-founder & CEO
MARCH 2018 | 33

36. Impactsof
hasStarted in
CRMIndustry
C
loud computing has changed the face of customer management by providing every SMB’s an
opportunity to unify data and communication platform without investing heavily on ‘on-premise’ IT
infrastructure and staff. Now it’s the turn of Artificial Intelligence (AI). Those (companies) who adapt
AI will remain in the race and those who won’t simply lag behind and eventually might lose in the longer run.
Facets those are Attracting Enterprises towards it
AI along with PA (Predictive Analysis) have potential to make all aspects of CRM better, from sentiment and
intent analysis to product recommendation, upselling and lead scoring. Moreover, the ability of AI powered
tools to scale the efforts of sales team by gleaning useful patterns of data, finding successful courses of action
and taking care of the bulk of the work for addressing customers’ needs and grievances plays a crucial role in
managing CRM operations in an efficient way.
The efficient usage of AI and PA teach organizations to do much better job in terms of targeting potential
customers and decision makers by calculating which personal and professional attributes holds the maximum
| MARCH 201834

37. value. The potential of creating a
system of continuous improvement
for sales and marketing teams is
somewhat attracting organization
towards these technology, since
‘sales is the fuel which keeps the
wheels of an organization running.’
Landmark Solutions that are
showing Future Direction
Salesforce, Oracle, SAP, Microsoft
and Adobe are some of the
Industry giants those are investing
heavily on AI and even
successfully developed many
landmark products and service
based on AI that have the
potential to change the
landscape of CRM
industry forever. By
looking deeper into
those products and
services one can
predict: what kind of
road CRM industry is
going to traverse in coming
times?
Salesforce, the leader of
CRM industry has last year
developed a ground-breaking
product Einstein, an AI assistant
which has the ability of
continuously process colossal
amount of data which Salesforce
collect from sales, e-commerce
activity, emails, social media
streams and others. This powerful
assistant help sales representative to
focus on the most promising leads
based on engagement data analysis
MARCH 2018 | 35
INDUSTRY INSIDER

38. and gives advice on when to trigger email campaigns according to customer response history.
SAP, another prominent player of tech space has joins the AI race and added new AI features to its
S/4HANA cloud ERP. Its tacked-on features provide automated insights into the business data which the
system collects. This includes monitoring accounts, preparing chart of top vendors for an organization
based on their past performance, pricing and ability to deliver.
Oracle also shown a great interest in AI and announced a distinguished project known as Adaptive
Intelligence. This project will test feasibility of adding series of applications to its cloud suite. These apps
have the potential to combine third-party data with real-time analytics to provide optimize decisions and
recommendations. For example, AI enable app’s to merges data from the company cloud and the Oracle
Data Cloud to extract meaningful insights related to individual customer behaviors and provide
personalized offers.
Amelia is a bot that assist customers in resolving their queries using natural language processing. It
understands customer’s queries and provides them desired answer based on data gathered from previous
interactions and the knowledgebase. Generally, this bot is able to solve 55% of incidents and when it does
not have the answers or senses a frustration or hostility, it passes the baton to a human operator.
Economic Impact of AI in CRM
Leading market intelligence firm, IDC (International Data Corporation) has forecasted that AI enabled
CRM activities could increase global business revenues by $1.1 trillion and create eight lakh new jobs
apart from two million additional indirect and induced jobs. The global market for AI powered CRM is
estimated to grow from existing $7.9 billion to $46.3 billion by 2021. This huge revenue boost will lead to
increase productivity and lower expenses due to automation.
According to report, the year 2018 will prove to be a landmark year for AI adoption as more than 40%
companies are ready to adopt AI in upcoming future (may be within next two year). IDC further estimated
that 75% of enterprises will include AI or machine learning functionalities in at least one of their business
application. 46% of the AI adopters report that more than 50% of their CRM operations get executed
through cloud. Therefore, cloud vendors are expected to lead the race of delivering AI solution to
customers.
With all these great advancements, better functionalities and positive economic projections, it would be
fair to conclude that AI and PA hold great importance in deciding the future course of action for CRM
industry. But only time will tell how deeply these technologies will continue to disrupt not just the CRM
sector but other businesses as whole. It will be interesting to watch how this seismic shift toward an
intelligent and proactive approach will eventually plays out.
.
| MARCH 201836

40. TM
FogHorn Systems :
Delivering Business Outcomes
for Industrial IoT
Recent research studies state
the Internet of Things market
is expected to reach $1.6
trillion in industrial industries, $1.2
trillion in commercial industries, and
$1 trillion in consumer industries
within the next couple of years.
Although this suggests a positive
outlook for the market, companies are
struggling to generate intelligence from
operational data collected by these
connected machines. Edge computing
solves this by bringing big data,
streaming analytics and machine
learning as close as possible to the
devices producing the data. Companies
see incredible improvements once they
translate their data into actionable
insights using edge computing,
machine learning (ML) and artificial
intelligence (AI). These technologies
will help process mass quantities of
data and deliver insights to help
companies apply predictive
maintenance, improve yield and
quality, enhance worker safety, and
more.
New services from major cloud and
software providers, including AWS,
Microsoft and IBM, rely on sending
data to the cloud for processing.
TM
However, FogHorn Systems offers a
transformational compliment to this
cloud approach, lowering costs,
reducing latency and optimizing
industrial operations for the real-time
processes in manufacturing, energy, oil
and gas, and more. Because thousands
of sensors are constantly sending data
at the rate of every 20 or 30
milliseconds, much of this information
is useless within minutes, or even
seconds. FogHorn enables businesses
to take the information that
matters – the anomalies or patterns
unearthed through analytics applied
directly at the edge – and translate it
into operational intelligence.
Leader in Edge Intelligence Software
for Industrial IoT
FogHorn’s industrial IoT software
stack provides an efficient and highly
scalable end-to-end solution that
blends the benefits of real-time, on-site
processing of sensor data from
industrial machines with cloud-based
management, analysis and machine
learning. David C. King, CEO of
FogHorn Systems continues to design
and develop innovative ideas and new
capabilities in this fast-changing
market. Prior to FogHorn, King led
AirTight Networks, a technology
leader in secure cloud-managed Wi-Fi,
through four successful up rounds of
VC funding. Additionally, he served as
President and CEO of Proxim, a
pioneer in WLANs and the first
publicly-traded Wi-Fi company.
King supports FogHorn’s global
customers and partners as they roll out
a broad range of powerful edge
intelligence applications for industrial
and commercial systems. To inspire
creativity and innovation in the
workspace, he guides the organization
to hire people with great passion and
curiosity about not just technology, but
also other hobbies and interests. He
looks for workers with a successful
track record that helped build market
share and move innovative new
products from early adoption to mass
market.
FogHorn is a leading developer of
“edge intelligence” software for
industrial and commercial IoT
application solutions. FogHorn’s
Lightning™ software platform brings
the power of advanced analytics and
machine learning to the on-premise
edge environment enabling a new class
of applications for advanced
monitoring and diagnostics, machine
performance optimization, proactive
maintenance and operational
intelligence use cases. FogHorn’s
principal advantage stems from its
unique, high-speed, tiny footprint
compute and machine learning engine.
The company designed the CEP™
(complex event processing) engine
from scratch, and it enables FogHorn
to run the complete IoT edge analytics
software stack next to machine data
sources, rather than shrinking down
existing “big data” engines developed
| MARCH 201838

41. Intelligent edge
software
platform
enabling
unprecedented
levels of
automation,
operational
efciency,
and cost
savings
for resource-unlimited cloud
environments.
Building an Edge Intelligence
Platform
FogHorn’s platform packs a lot of
power into an exceptionally small
footprint. Its Lightning platform runs
seamlessly on the industry’s broadest
spectrum of industrial devices and
processors and truly embraces the
paradigm shift to small-compute and
local-processing on constrained
devices. By applying intelligence at the
edge where IoT devices operate,
FogHorn’s Lightning platform
significantly lowers cloud-related
bandwidth costs by refocusing the role
of the cloud to very specific functions
such as application portability and
provisioning orchestration, machine
learning and advanced cloud/edge
analytics. Connected cars and
autonomous vehicles, for example, will
be able to process data from
instruments and sensors locally, in-car,
in real-time, which will enable critical
safety developments, such as accident
avoidance, emergency braking, as well
as mission-critical systems monitoring
like airbag failure, and more.
Awards, Achievements and
Recognitions
Among its most recent accolades,
FogHorn was named to the: CRN IoT
50, CB Insights AI 100, IoT
Breakthrough IoT Startup of the Year,
Tech Trailblazer Finalist, and as a CIO
Most Promising AI Solutions Provider.
These awards come alongside industry
recognition from leading analyst firms,
including Gartner, who named the
company in their “Cool Vendors in IoT
Edge Computing, 2017” report. Frost
& Sullivan also recognized FogHorn as
a leader in the IoT and
manufacturing space.
In addition, FogHorn
announced $30 million
in Series B funding in
October 2017 to support
faster growth. Intel
Capital and Saudi Aramco
Energy Ventures led the
round, with new investor
Honeywell Ventures and all
previous investors
participating, including
March Capital Partners, GE
Ventures, Dell Technologies
Capital, Robert Bosch Venture Capital,
Yokogawa Electric Corporation,
Darling Ventures and The Hive.
Residing Future with IIoT
FogHorn’s solutions are ideally suited
for OEMs, systems integrators and end
customers in markets such as
manufacturing, power and water, oil
and gas, mining, transportation,
healthcare and CPG, as well as smart
grid, smart city and smart car
applications. FogHorn has pioneered a
global shift to edge intelligence,
comprised of real-time analytics and
machine learning deployed on virtually
any device in industrial and
commercial operations. The company
recognizes the transformational
improvement in technology and
delivers across a wide range of
industries. FogHorn believes that it
will result in its Lightning software
residing in a large percentage of the
projected 50 billion connected devices
by the year 2020.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
‘‘
‘‘
David C. King
CEO of FogHorn Systems
MARCH 2018 | 39

42. WILL
ARTIFICIAL
INTELLIGENCE
NARROW THE BRIDGE
BETWEEN
HUMANS
&
MACHINES
| MARCH 201840

43. he world has witnessed sweeping improvements in
Ttechnology. With smart phones and internet
connections the whole world is consolidated in
one’s pocket, which is a very fascinating sight. What is
more amazing is that all of this happened so fast. As days
pass everyone is more spellbound with technologies it is
engulfing them in day to day life. Looking at the present
scenario no one can be sure about what the future has in
store but we might be witnessing an age where robots
would be living amongst us.
Looking a few years back before internet came into our
lives, there were uncertainties regarding future, while at
present machines are living amidst us. The smart brains
have infused technology in every bit of our lives and soon
people would be driving cars without drivers, machines that
would do grocery shopping and will be a helping hand to all
laborious works. All of these recent developments or
gradual changes are because of the improvements in
Artificial Intelligence. In a milder way Artificial
Intelligence (AI) can be defined as the computer programs
or models designed to perform a task that usually requires
human intelligence.
A glance at what is to come.
The recent innovations make everyone wonder what all
other changes are yet to be witnessed in coming years. AI
has been swaying our lives in many ways. Researchers have
claimed that scientists were able invent some breakthrough
theories and machines with the help of ‘machine learning’.
Smart cars are now a well-known concept. These
self-driving cars are the beginning of a decagon which
would change the way we move. Imagine a time when
people would be reading newspapers on their way to office
while the car is driving itself. This is both intriguing and
unbelievable in certain ways. Automated news is yet
another enthralling invention that is now getting popular.
Apparently, artificial intelligence programs can now write
news stories. The fact that such a basic task can also get
influenced by AI is intimidating. Online customer support
has been in practice since few years now. Many of the
websites are now using this skill to communicate with their
customers directly.
Apps that recommend music and movies, smart home
devices that studies the resident’s behaviors and suggest
changes accordingly. AI is playing a major role with or
without your knowledge. Have you ever wondered how
‘Siri’ actually helps with the directions when you
command? How the spam filters work in e-mail.? At times
the implication of AI in our lives is obvious while at certain
times it goes unnoticed. But however, it is a fact that AI is
everywhere and it is making a huge difference in everyone’s
lives. Soon would come a time when humans would have a
robot or a computer program helping humans at every
minor and major task. So the near future would witness
improvements in these areas and many more to come.
Would Humans get in way of AI?
What effect will AI have on human experience? Humans
are both indolent and smart to think of ways to get a job
done in an easier way and hence have been working on this
since ages. The idea of robots was always a topic of
excitement and many have been dreaming and working to
make robots a reality. However, as time has passed it is
evident that many of the brightest minds have taken AI to
great heights. When it comes to AI, it has been proved that
there is no limitation and has now emerged as a greater
mission with more and more people working on it.
Despite what technology has been able to do, is the world
ready to accept these changes in a wide scale? The point to
be noted here is that as humans learn with experiences, one
does not know what success is unless he has tasted failure.
This alone works as motivation to strive and work hard to
achieve success. Many times we need to touch a hot stuff to
know and feel that it is hot and shouldn’t be touched.
Humans are not programmed they live through the
experience to know it all. The rights and wrongs are taught
to humans and not programmed wherein the outside
influences are also a major factor of knowledge.
Nevertheless AI is programmed which means it could
understand better than what individuals are capable off. It
wouldn’t be a surprise to know that there might be robots in
near future programmed with even human emotions. This
raises the question whether humans would come in their
way of making this world much easier to live in. Alike
many sci-fi movies would the people be the bystanders of a
world solely lead by machines and robots?
MARCH 2018 | 41
EDITOR’S PICK

44. TANJO:
Improving Businesses, Industries,
and People’s Lives by Bringing Machine Learning
and Automation to the World
Tanjo creates platforms for, and
interfaces to, the increasingly
intelligent network of humans
and machines cooperating with each
other. Their powerful machine learning
brain is the optimal combination of
human and machine learning
intelligence to help people achieve the
right balance between humans and
automation to optimize outcomes.
The central thesis of Tanjo is that
successful individuals, companies, and
st
even governments in the 21 century,
will be those who achieve the right
balance between human and machine
effort and intelligence to optimize
outcomes. Those who get it right will
prosper and prevail. Those who fail to
achieve this balance or even lag behind
will no longer be competitive and will
soon be considered handicapped.
Many firms today are aware of
machine learning and are working to
harness Big Data. And Tanjo believes
that there is a big leap from Big Data
to Information, and an even bigger leap
from Information to Intelligence
(Information that has been computed
and is presented to humans to make
decisions). The company’s machine
learning brain helps their clients to
make the full leap to real-time,
actionable intelligence.
“The central problem of the century
is how to achieve the right balance
between humans and automation to
optimize outcomes.”
The Spirited Personas of Tanjo
Founders Richard Boyd, CEO, and
David Smith, Chairman, have
worked together for 27 years with two
very successful exits in computer
gaming and simulation. They spent
almost six years developing
technologies at aerospace giant
Lockheed Martin where they founded
an innovation group called Virtual
World Labs, focused on the emerging
fields of VR, AR and AI. The team’s
deep background building large
constructive simulation models of
human populations for the DOD,
paired with their entertainment,
human/machine interface and data
science expertise make for a unique
combination of capabilities.
While at Lockheed, Boyd and Smith
were asked to visit Microsoft Research
labs in 2009 where inventor Alex
Kipman was leading the team to
develop the Microsoft Kinect system
for the xBox. Boyd and Smith came
away impressed with the machine
learning methods employed to teach
the Kinect sensor system how to
recognize people and objects in living
rooms. In 2013, they left Lockheed to
build their own machine learning brain
and Tanjo was born.
The Exceptional Offerings by Tanjo
Tanjo have three primary product
offerings. The first is their powerful
machine learning brain that the
company has trained over the last four
years. Being unique in the industry,
Tanjo provides the entire brain and API
to any organization to deploy on their
own network, inside their firewall, and
under their full control. The brain then
learns from the organization and serves
as an enduring asset representing all of
the knowledge of that organization. A
brain inside a large accounting or
architecture firm is trained on that
practice before deployment, but soon
learns how information workers within
that firm practice their profession; and
becomes an enduring representation of
the workflow and organizational
knowledge of the company. Tanjo is
also successful in providing this to
research organizations and institutions
of higher education.
“Machine learning creates a new
opportunity to amplify human
intelligence and automate
processes.” Said Tim Wilson,
Executive Director for the
Bellwether College Consortium ,
“We are partnering with Tanjo to
have our most innovative schools
harness machine learning to both
preserve innovative education best
practices, and help develop new
methods to assist students in their
| MARCH 201842

45. The central
problem of
the 21st
century is
determining
how to
achieve the
right balance
between
humans and
automation
to optimize
outcomes.
educational journeys and prepare them
for an increasingly automated world.”
ContractBot: One sub application of
the Tanjo brain was built for a major
accounting firm in 2017. In the United
States new revenue recognition rules
were brought into effect from
December 1, 2017. Within a four
month time frame Tanjo taught the
Tanjo brain the new revenue
recognition rules and then trained on
over 2.5 million sales contracts. Now,
the firm can simply feed a company’s
contracts to the Tanjo brain and it will
aid the human auditor in highlighting
any language in those contracts where
the rules apply. This is a great example
of human/ machine cooperation,
achieving efficiencies of over 12x.
In 2016, Tanjo set aside a Tanjo brain
and had it read every single legal
opinion in United States history across
all 417 federal jurisdictions since 1797.
The project took the system less than
two weeks to create a correlated map
of almost four million (somewhat
lengthy) legal opinions.
Tanjo’s third offering uses machine
learning to ingest data exhaust from
human activity to build deep models of
human behavior they call Tanjo
Animated Personas, or “TAPs”. These
TAPs are powerful tools for creating
deep customer empathy, and have also
been used within organizations to build
stronger internal teams (human
resources application) or for higher
education to improve recruiting
methods and even teacher empathy for
more personalized learning paths for
students.
Deeper customer
understanding with
TAP
Tanjo learned that
consumer marketing
companies were
spending a great deal of
money on customer
segmentation modeling.
These models were static
moments in time and
derived from surveys and
focus groups. Tanjo
contacted some of the top
academic minds in human
behavior choice modeling and
created the TAP platform to give
companies a real-time, data-derived
simulation method for improving
customer empathy and deeper
customer conversations.
Creating Dynamic Simulated
Customer Models
The Tanjo Animated Personas (TAP)
platform allows marketers to have a
new deep level of interaction with
customer segments for their products
and services. Using machine learning,
TAP creates dynamic simulated
customer models from archetypal
customer segmentation research and
brings that data to life in the form of
synthetic customer personas. Marketers
can now, finally, watch as these
synthetic customer models view and
digest online content. Present a TAP
model with a product message and see
it respond to (and score) that
messaging from the viewpoint of that
customer segment. TAP brings deep
customer conversations to life.
THE
Innovative
10
MOST
ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2 0 1 8
‘‘
‘‘
Alex Kipman, Richard Boyd,
Jaron Lanier at
Microsoft Research Labs 2009
www.tanjo.net
MARCH 2018 | 43