10 Innovative Artificial Intelligence solution Providers of 2020

www.mirrorreview.com
June 2020
™
Artificial
Solution Providers of 2020
Innovative10THE
POINT PREDICTIVE
Using A Unique Combination of Artiﬁcial And
Natural Intelligence To Address Fraud Risks
AI 2.0
Artiﬁcial
Intelligence 2.0: A
Blend of Natural
Intelligence and AI
THE ROBOT
REVOLUTION
Robot: A
Complement Or
Substitute?
Tim Grace | CEO

Connect to
your customers
in a whole new
way with the
world’s #1
CRM platform.

EDITOR’S
LETTER
AI: Transforming the World
Although COVID-19 has caused a lot of havoc all
over the world, it has been rewarding for the digital
world. The world has been now pushed towards
accepting new norms such as social distancing and remote
working. The concept of remote working or work from home
has provided the digital world with numerous opportunities to
grow and offer new services across the globe.
In this magazine, you will also find latest article written by our talented writers in the
section, “The Robot Revolution” and “Artificial Intelligence 2.0.”
AI has played a vital role in the digitalization of all the industries. It is considered as the
leading factor in reconstructing the industries as a part of the fourth industrial revolution.
Acknowledging the importance of AI in today times, the team of Mirror Review has
come up with the latest magazine issue, “The 10 Innovative Artificial Intelligence
Solution Providers of 2020.”
On the cover of the magazine, we have featured Point Predictive Inc. Established in
2017, the company is the brainchild of a team of global fraud prevention solution
executives who gained experience by working in leading organizations such as HNC
Software, FICO, ID Analytics, BasePoint Analytics, CoreLogic and Fiserv. The
company's mission is to help lenders stop fraud and misrepresentation losses with a
broader goal of transforming the way lenders establish trust with their customers so they
can fund more loans, faster and easier than ever before.
Happy reading!
Shubham Biradar
Editorial Coordinator
June 2020
™

PUBLISHER
ARCHANA GHULE
EDITOR-IN-CHIEF
VIKRAM SURYAWANSHI
EDITORIAL COORDINATOR
VIDYA JOSHI
RAKESH MAHTO
SHUBHAM BIRADAR
UTKARSH DESHPANDE
PROJECT MANAGERS
DAVID THOMAS
ABHISHEK PATIL.
ART DIRECTOR
VINOD ALHAT
VISUALIZER
MARK DAVIS
HEAD OF DISTRIBUTION
& PRODUCTION
AAKASH MAHAJAN
HEAD OF OPERATIONS
ROBERT SMITH
RESEARCH ANALYSTS
JAMES ADAMS
ADVERTISING
MARIA SMITH
F O L L O W U S
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PointPredictiveUsing A Unique Combination of Artiﬁcial And
C O V E R S T O R Y
10
22
28
Flutura
Accelerating Revenue
Growth, Proﬁt Generation,
and Cost Savings

30
28 26
34
18
CirroLytix
Research
Services
Harnessing The Data Value Chain To
Achieve Positive Change
Chetu
A Place where Expertise
meets Excellence
Aivo
Transforming Customer
Service with
Artiﬁcial Intelligence
Linear
Squared
An Innovative Platform O ering
A Robust And Comprehensive
Suite Of Products

POINT PREDICTIVE
Using A Unique Combination of Artiﬁcial And
Established in 2017, Point Predictive is the brainchild of a team of global
fraud prevention solution executives who gained experience by working in
leading organizations such as HNC Software, FICO, ID Analytics, BasePoint
Analytics, CoreLogic and Fiserv. The company's mission is to help lenders
stop fraud and misrepresentation losses with a broader goal of transforming
the way lenders establish trust with their customers so they can fund more
loans, faster and easier than ever before.
S
ome verticals or industries may be more vulnerable to fraud than
others, but no business is absolutely risk-free. High volumes of fraud
can harm a company, leading to both sales and reputation losses.
Therefore, it is necessary to have measures in place to safeguard against
potential fraud and misrepresentation. Moreover, in today's changing
environment, companies will soon be facing considerable challenges
managing rising rates of fraud and misrepresentation while balancing growth
of their loan portfolios. This is where Point Predictive provides tremendous
value to lenders.
Artificial
Innovative10THE
COVER
STORY
10 JUNE 2020 ™

“Powering trust in
lending with Ai.”
™
11JUNE 2020

Delivering A Wide Range Of
Solutions, Uniqueness of Point
Predictive
These solutions enable lenders to
fund more loans using a patented
combination of Artificial and Natural
Intelligence [Ai+Ni] that powers
machine learning risk assessments
for lending decisions. The company's
flagship product, Auto Fraud
Manager, is one of the prime
examples of a solution delivering
compelling value to automotive
lenders and car dealerships. The
solution scores millions of
automotive loan applications each
month. It helps lenders across the
nation reduce their losses on the
riskiest applications by 30% or more
while streamlining another 30% or
more of their applications to improve
loan pull-through and profitability. It
also gives lenders an earlier
indication of dealer behavioral risk
than any other solution available
today.
When a consumer submits a loan to a
third party or lender, they are often
subject to a wide variety of requests
for documentation and verification to
prove their claims on the application.
This is where Point Predictive
technology is extremely valuable to
ensure that those applicants who
provide reliable, authentic, and
accurate information are not
inconvenienced and to provide
lenders an ability to fund those loans
faster and easier. To prevent fraud-
related and misrepresentation-related
early payment default losses, the
company offers fraud, risk, and loan
streamlining solutions to the auto,
mortgage, retail, and fintech lending
industries.
The Multi-Faceted Leader With
Global Technology And Risk
Management Experience
material misrepresentation.
Identifying the 97% that can be
funded safely—without unnecessary
verification, tedious consumer proof
documents, or risk of fraud due to
material misrepresentation—is why
lenders use solutions from Point
Predictive.”
Tim is a strategic innovator, having
led the development of several
revolutionary products in the
financial services, payment card, and
mortgage industries. He and a fellow
co-founder kept hearing the same
tales about significant inefficiencies
in the consumer lending application
experience across mortgage,
automotive, and retail. Potential
customers with excellent credit
scores, long histories, and solid
financial positions were being asked
to provide multiple separate
verifications of information on their
application – they realized there must
What sets Point Predictive apart from
others is that its solutions allow
greater automation across more
applications resulting in more
accurate results with less fraud or
material misrepresentation escaping
unnoticed. Most other application
fraud solutions available today focus
almost exclusively on verifying
identity—is the borrower who they
say they are? Point Predictive is
different and goes beyond this
narrow approach by providing a
comprehensive risk assessment of
everything on the application—i.e.
income, collateral, employment and
identity—in the context of its
nationwide fraud and
misrepresentation consortium data.
This provides lenders with the most
trust metrics of any solution,
enabling them to make a fully-
informed risk decision about each
application.
The CEO of Point Predictive, Tim
Grace asserts, “Typically, less than
3% of all credit-qualified loan
applications contain fraud or
“Point Predictive powers a
new level of lending
confidence and speed
through the unique
combination of artificial
and natural intelligence
using decades of risk
management expertise.”
Artificial
Innovative10THE
™
12 JUNE 2020

As CEO, Tim's role is to keep the
company's day-to-day, month-to-
month, and year-to-year activities
going in the right direction for
everyone to thrive. To achieve this,
he develops the strategy, builds the
team around him that can see that
be a better way to both prevent fraud
and streamline good applications.
This idea was the foundation behind
the formation of the company.
Connecting With The Team On
Various Communication Platforms
Tim believes that motivation comes
from within, from achieving
something more than you achieved
yesterday. So, he keeps his teams
motivated by continually pushing
them to go beyond the status quo.
During these tough times, he has
implemented a completely remote
work environment with new
through, and then leads that team to
create the products and solutions that
will help Point Predictive serve its
customers more eﬃciently. He says,
“The most important thing I do for
our team is ensure that they know
how their individual contributions
support our corporate goals. Our
investors and our customers both
expect great things from our
company – each team member is
essential to making that happen.”
Tim Grace
CEO
COVER
STORY
™
13JUNE 2020

“If you want to
accelerate innovation,
you need to think differently
and you need to avoid
distraction. That’s
exactly what we do.”
initiatives around “connecting” with
each other in meaningful ways. That
means every meeting and every call
is done on video. The teams
frequently meet throughout the
day—on Slack, on Zoom, on
GoToMeeting—to mimic, as closely
as they can, the environment of
working together in an office.
Enhancing Their Ai Capabilities To
Develop New Solutions
For the past 25-30 years, Artificial
Intelligence has been used as a core
tool for decision making in financial
services. Though tremendous steps
have been made during that time,
each year the pace of progress
continues to increase faster and
faster. Tim believes that infusing
machine learning with natural
intelligence to provide actionable
predictions that make sense is critical
for the continued expansion of Ai in
financial services.
Point Predictive applies this unique
approach to Ai solutions for the
financial industry. Its decades of risk
management experience ensure that
its Ai is actionable and effective for
fraud detection and misrepresentation
across all types of consumer lending.
By combining Artificial + Natural
Intelligence [Ai+Ni], Point Predictive
carefully develops and tests machine
learning models that help lenders
confidently know whether
information on a loan application is
true and accurate, or whether the loan
application contains information that
is misrepresented or materially
inaccurate. Human (natural)
experience is then incorporated into
these Machine Learning models,
with a way to access the same Ai
used by lenders to avoid fraud and
misrepresentation, all while the
customer is still in the dealership's
finance office. Dealers who lead the
way in proactive fraud prevention
efforts will be in a better position to
enjoy preferential terms with lenders
on loans or other opportunities. For
lenders, the company is launching a
new Unemployment Checker
solution, which will provide a direct
verification of a borrower's
unemployment claim status during
the application process.
Pandemic Effect On The Market
COVID-19 is impacting every
industry and vertical served by Point
resulting in unrivaled recognition of
true and accurate loan applications.
This results in more loan approvals,
faster, with reduced documentation
and verification requirements. Point
Predictive's technology helps lenders
profitably grow their loan portfolios
while reducing losses related to
misrepresentation and fraud.
New Projects for the balance of the
year
In the second half of 2020, Point
Predictive will launch innovative
new technologies in fraud and risk
solutions to serve more than 50,000
new and used car dealers in the US.
These solutions will provide dealers
Artificial
Innovative10THE
™
14 JUNE 2020

Tim believes that the combination of
lower origination volumes and an
increasing borrower risk profile will
lead to higher overall rates of fraud
across auto, mortgage, and retail
lending. Fraud can remain at
manageable levels in healthy markets
since high numbers of performing
loans mask it. As market conditions
become unfavorable, originations
drop while attempts at fraud persist
Predictive. For example, auto lenders
have been originating fewer loans
since borrowers and car dealerships
are both affected by state-mandated
lockdowns; those applications that
they are receiving exhibit a higher
risk profile—fraudsters never miss an
opportunity.
unemployment and how that impacts
borrower affordability. How can a
lender confirm a borrower is
employed and if they can afford the
loan?” Tim commented further. He
believes this question is much harder
to answer than it was before the
pandemic with the high rates of
unemployment we are experiencing
in today's market.
As a seasoned entrepreneur, Tim
offers his advice to aspiring
entrepreneurs who want to thrive in
the industry. He suggests they focus
on making sure their product or
solution delivers value to customers
that they will pay for. He further
states, “Every entrepreneur believes
in their product and has lofty dreams,
but you have to ensure you focus
everything your company and
products do toward delivering
tangible value to your customers.
Every customer should rave about
your company and products; word
will spread to get you the market
adoption you need to succeed
financially.”
As a leading Ai company, Point
Predictive is planning for that by
piloting a new service that will help
lenders identify those borrowers that
might not be providing accurate
information about their current
employment situation so lenders can
make informed decisions on those
applications. It has also offered no-
charge access to its Synthetic Identity
Alert service to all auto lenders as its
way of "giving back" to the hard-hit
auto lending community through the
end of 2020.
A Piece of Advice
or even increase. This has the effect
of increasing the overall effect of
fraud on the bottom line.
Furthermore, as volumes start to
increase rapidly after the pandemic
eases, fraudsters will almost certainly
take advantage of this backlog to slip
through potential gaps in risk
management processes. Point
Predictive can help lenders to stay
ahead and avoid risks that are a
natural byproduct of this crisis.
New Challenges to Emerge
“As the economy begins to reopen
and lending volumes increase, we
expect lenders will be dealing with a
different world. An example of that
will be the high rates of
COVER
STORY
™
15JUNE 2020

Company Names Info
Aivo
Martin Frascaroli,
Founder & CEO
Beyond Analysis
Paul Alexander,
Group Chief Executive
Officer
Chetu
Atal Bansal,
Founder & CEO
Cirrolytix Research Services
Dominic Vincent Ligot,
Founder & CTO
Cognistx and Kroll
Sanjay Chopra,
Co-Founder & CEO
Flutura
Krishnan Raman,
CEO
Linear Squared
Sankha Muthu Poruthotage
(Co-Founder & CEO),
Rajith Munasinghe
(Co-Founder & CMO),
and Mohit Pande
(Co-Founder & Senior Vice President)
PointPredictive
Tim Grace,
CEO
Zumata
Josh Ziegler,
CEO
Established in 2012, Aivo is a technology company specialized in
conversational AI.
www.aivo.co
Beyond Analysis is a data science, analytics and strategic data solutions
and consulting business.
www.beyondanalysis.info
www.chetu.com
Chetu provides an extensive range of technological solutions and offers
software development experts with industry-specific knowledge in over 40
different verticals.
www.cirrolytix.com
CirroLytix Research Services is a social impact data analytics company that
leverages data to make a positive data-driven change in the world.
Cognistx and Kroll is a Pittsburgh-based applied AI company, building
multistrategy AI systems for clients in widespread industries.
www.cognistx.com
Founded in 2012, Flutura, an AI Solutions company is also tackling some
similar challenges.
www.flutura.com
GrayMeta enables companies to transform physical assets to digital, connect
to, and access assets from anywhere, and create meaningful metadata using
machine learning & AI services.
www.graymeta.com
www.linearsquared.com
Linear Squared is an innovative tech company specialized in building
products that deliver ready-to-action insights using Artificial Intelligence and
Machine Learning technologies for businesses across multiple industries.
PointPredictive builds Predictive Models Using Artificial Intelligence And
Machine Learning Techniques That Help Our Customers Stop Fraud And
Early Payment Default (EPD)
www.pointpredictive.com
www.zumata.com
Zumata builds an Artificial Intelligence (AI) Chatbots, that enable partners to
enhance customer interaction while providing excellent products and
services at lower costs.
Graymeta
Tom Szabo,
Co-Founder & CEO

Established in 2012, Aivo is also a
technology company specialized in
conversational AI. Since its inception,
the company has revolutionized the
way brands communicate with their
customers. Aivo aims to help
companies solve the customer needs
in shortest possible time, with
empathy and delivering the same
experience in all channels of
communication.
The emergence of Artificial
Intelligence has
revolutionized the market
significantly. It has simplified the
complex data and reduced human
errors up to a considerable extent.
Digitization is leading the world
towards automation and Artificial
Intelligence is one of the key factors
behind the upsurge of automation.
Some types of Artificial Intelligence
can be classified as Reactive
Machines, Limited Memory, Theory
of Mind, and Self Awareness. All
these types are being used in several
industries for different purposes. Apart
from these, there is another type i.e.
Conversational Artificial Intelligence
which refers to the use of various AI
tools for personalized customer
experience. Presently, many
companies are providing this type of
AI for enriched customer
communication and experience.
The solutions offered by Aivo are
specially designed based on the needs
Omnichannel Customer Service
Solutions
The COVID-19 Effect
The unexpected and disastrous
outbreak of the COVID-19 pandemic
has made companies rethink about
their customer service strategies. It has
posed numerous challenges in front of
companies such as over-demand in
customer service departments, moving
their traditionally local operations to
remote environments, and opening
digital communication channels to
direction the company takes, manages
the overall operations and resources of
the company as well as acts as a main
point of communication with the
leadership and stakeholders. In his
early days, he developed several
projects even before he finished his
high school. In 2005, he founded
software agency for contact centers,
and while working with them, he
realized that a significant amount of
time was being wasted in customer
service for both companies and
clients. Thus, he identified that a
change was needed in customer
service to make the process easier and
more efficient. He started looking for
solutions and found that the majority
of work can be automated with
artificial intelligence resulting in faster
and better customer experience and
more motivated employees that take
care of the creative and complex tasks.
This, along with the digital revolution
that took place in the last year, was the
inspiration behind Aivo. Led by a
passionate entrepreneur, Aivo has
emerged as one of the powerhouses in
their field.
These solutions allow automating
operational tasks to empower the
customers with superior assistance and
support as they are simple to use,
implement and evolve. Furthermore,
these solutions provide omnichannel
experiences to serve customers on any
channel, text, and voice in more than
80 languages. Additionally, Aivo
integrates its solutions with leading
CX and CRM solutions such as
Zendesk Chat, Support and Guide,
Salesforce, Genesys PureCloud,
Zapier. All these factors put Aivo one
step ahead of its competitors.
Ÿ Agentbot – An automatic solution
for customer service, enriched with
Artificial Intelligence.
and expectations of modern clients
such as personalization, immediacy,
quick solutions and 24×7 service. The
company prominently provides
following four solutions.
Ÿ Live – Omnichannel chat solution
that empowers customer service
agents.
A Passionate Entrepreneur leading
from the Front
Ÿ Voice – Phone-based automatic
customer service solution with
Artificial Intelligence.
Ÿ Help – A Centralized Knowledge
Base and Smart Search Engine that
enhances the self-service
experience.
Martin Frascaroli, the Founder and
CEO of Aivo, is the mainstay of the
company. As the CEO, he oversees the
Aivo
Transforming Customer Service with
Artificial Intelligence
Artificial
Innovative10THE
™
18 JUNE 2020

Preparations to Combat the Future Challenges
support their clients. With its AI technology, Aivo is
helping many companies modify their customer care
strategy.
Communication is the Key
Aivo is thoroughly supporting its employees during this
hard time. As it is a remote-oriented business, the
company was prepared to translate its operations into
work from home scheme. Furthermore, the company is
concentrating on communicating more with the
employees, carrying out catch up calls, and checking in on
each other. The company is being extremely transparent
with the direction of its business and making sure
employees have everything they need to work from home
comfortably.
Post the pandemic, Aivo is expected to face numerous
challenges such as global expansion, better business-client
relationship, promotion and pricing, etc. However, the
company is thoroughly prepared to combat these
challenges. While continuing to strengthen its position in
Latin America, the company is currently focusing on
growing its USA market and opening APAC and ME. It is
looking forward to improve customer experience by
establishing natural and seamless interactions with its own
AI solutions.
Furthermore, Aivo is constantly working on adding new
features and further integrations to its solutions which
addresses the challenges in terms of product development.
Moreover, out of several ongoing projects, the company is
particularly looking forward to its new analytics feature. It is
looking to further improve this feature by adding predictive
technology and deeper data to help on BI.
Martin's Views about AI and Entrepreneurship
Having been utilized AI for businesses, Martin thinks that
companies of all industries are adapting more and more AI
into their business areas and this trend is expected to
intensify with the time. However, AI is still not a 'mature'
technology as it will become more pervasive in the future and
there is a lot of potential to be tapped. As more companies
use AI technologies in their strategies, this technology will
learn and evolve. Thus, as time goes by, there will be
constant improvements in AI technology.
Being a successful entrepreneur, Martin suggests the aspiring
entrepreneurs to focus on single product for a single vertical,
always aim for something big, keep evolving, and ﬁnd the
right people for the particular work. He also emphasizes on
being proactive saying, “The only thing you cannot buy is
time, so do not expect things to happen. Take action in every
situation that arises.”
Our AI powered
technology makes it
simple to automate and
enhance your
company’s support
operations in a way that
boosts internal
e ciency while saving
your money.
Martin Frascaroli
Founder & CEO
™
“
19JUNE 2020

Established in 2000, Chetu has been
complementing this need. It is
prominently known for providing
superior, cost-effective software
solutions for its clients while creating
a simple work environment that
promotes self-improvement for its
employees. Chetu combines
technological expertise, specific
domain experience, and a passion for
excellence to deliver enterprise-grade
solutions all over the world.
The outbreak of the
coronavirus pandemic has
severely hit the global
markets with many industries such as
manufacturing, transport, and
tourism being adversely affected.
However, this pandemic has created
several new opportunities for some
industries. The software industry is
one such industry that is
continuously growing in this critical
scenario as clients are looking to
leverage new solutions to make their
businesses more adaptable. Remote
working, data management, and
automation are some of the solutions
that are in high demand, and clients
are looking for easy-to-access and
affordable software solution
providers to make them a reality.
Extensive Range of Technological
Solutions
Chetu is a customer-centric company
that focuses on providing end results
to its clients with its simple and
size businesses and was inspired to
create his own unique environment
with higher standards of excellence.
Prior to joining the industry, he
graduated from the Indian Institute of
Technology at Kanpur and was
always fascinated about building
things and solving problems.
As the CEO of Chetu, he oversees all
the aspects of the business from
operations and marketing to client
acquisition and management. He
works with all department heads to
discuss the vision of the company
and its intended goals. He aims to
keep the business at the forefront of
the technology space by leveraging
the latest in cutting-edge software
solutions as well as to maintain
Chetu’s industry-specific expertise in
over 40 verticals they work in. In his
20 years with the company, he has
helped it achieve long-term,
sustainable growth. When asked for
advice for upcoming entrepreneurs,
he said, “Invest in your business’s
foundation. If you build your
company with strong processes, you
can ensure that it is built to last.”
Dealing with Frequent Technology
Changes
With rapid industrialization and
globalization on a large scale, every
business confronts new and frequent
challenges. This is especially true in
the technology field, where newer
innovations and advancements
flexible governance. The company
provides an extensive range of
technological solutions and offers
software development experts with
industry-specific knowledge in over
40 different verticals. Chetu’s
software experts are well-versed in
all the major developing frameworks
and are certified by many of the
leading technology providers in the
industry. They provide services such
as Application Development,
Infrastructure Support, PLM, Quality
Assurance, and much more.
Scalability is a key factor at Chetu
where flexible development teams
can be easily adjusted to meet the
software needs of the client. Teams
can either be ramped up or down to
provide the greatest value to the
clients based on their changing
needs. Furthermore, the company has
a wide customer base and has offices
all around the world. This allows its
software experts to work in the same
time zones as its clients and offer a
true local branch feel for its services.
A Go-Getter leading from the
Front
Atal Bansal founder CEO, the and
of the company, has been at the helm
of Chetu for the past 20 years as it
has experienced its incredible growth
and success. Having worked for
several software development firms
before Chetu, he understood the high
demand for software solutions for all
Chetu
A Place where Expertise meets Excellence
Artificial
Innovative10THE
™
20 JUNE 2020

ensure things are always changing. Thus, a company has
to cope with these challenges by being flexible and
adhering to best industry practices. Chetu deals with
these challenges by using adaptable processes that allow
the company to capitalize on previous successes and
comply with its own best practices. In this ever-
changing technology field, Chetu is prepared to face and
adapt to future challenges whether they be economic or
technological.
Furthermore, in response to this critical scenario of the
COVID-19 pandemic, Chetu’s policies have been
helpful for its employees. The company has maintained
its commitment to not laying off any employees, and
providing daily bonuses to more than 80% of the team
Boosting Employee Satisfaction and Security
To cope with any type of challenge, the company needs
to have an efficient workforce. Chetu emphasizes the
fact that employees are its greatest asset and it strives to
create the ideal working environment for them. The
company encourages its employees to take ownership of
their respective roles and also leverage executives for
their experience and guidance. While it emphasizes
personal satisfaction for employees, it also provides
them communal support which ensures that teamwork
still permeates individual achievements.
members. Additionally, the company recently held an
initiative named “Closing for a Cause,” where a portion of
the proceeds of all sales went to the charities of choice for
all its salespeople to help them help give back during these
hard times.
Artificial Intelligence: The Driving Force for Future
Modernization and industrialization have been introducing
numerous revolutionary concepts over the years. Artificial
intelligence (AI) is one of them. As years have passed by,
the full capabilities of AI are still to be realized. The
number of companies adopting solutions like AI, i.e. the
adoption rate, is still relatively low, however, from a
business perspective, AI has greatly matured over the years
and has proved to be highly effective in automating core
processes. Presently, AI and process automation are aiding
businesses to drastically improve the workflow and
automate mundane activities. This has, in turn, reduced the
time and optimized the efforts of employees needed to
complete their work. These well-developed solutions are
saving millions of dollars for companies.
In the future, more document-heavy businesses and
industries are expected to adopt more AI and RPA solutions
to drastically improve and modernize their business.
Chetu is a true and
seamless backend
technology partner,
helping your business
accelerate the
development of desktop,
mobile, and web-based
apps with on-demand
developers that focus on
moving your business
forward. Atal Bansal
Founder & CEO
™
“
21JUNE 2020

But these robots couldn't operate autonomously. They needed
instruction—apersontothinkuptheprocessandrulesfor
truly replace humans. A kid knows that all things with four
legs, such as chairs, aren't cats. IBM's Watson supercomputer
triumphed on the quiz show Jeopardy in 2011, but it also
thoughtTorontowas intheUnitedStates.
HumansAnd Robots, MutuallyBeneficial
Robots are increasingly moving into more corners of the
world. One study estimated that as many as 45% of jobs in the
United States would be eligible for robot replacement over the
next 20 years. Law offices have already reduced the demand
for paralegals because computer programs can now process
legal briefs and synthesize large documents. People have
worried about being replaced by machines since the start of
the industrial age.Although this has proved to be a legitimate
concern in many jobs, machines can also be a complement to
human endeavor rather than a substitute for it. Machines and
computers, in general, have amplified human strength
through mechanized tools, augmented human intelligence
through information processing, and extended human reach
throughtelecommunicationsandremotesensing.
The robot revolution is a long-standing staple of
science fiction, from Metropolis to The Terminator,
and the spread of advanced machines in recent years
has done little to contradict its seeming inevitability. But
before master and servant switch roles, the robots of the world
need to conquer a simple task: efficiently recognizing a cat. In
2014, it took some 16,000 computers running on a “neural
network” set up by Google to accomplish this
feat—something a toddler does by reflex. The algorithms for
determining “catness” are rapidly improving, but this
distinction between thinking and calculating is a great divide
that robotics engineers will need to breach before robots can
™
22 JUNE 2020
THE ROBOT REVOLUTION

In March 2011, a tsunami devastated parts of Japan and
severely damaged reactors at the Fukushima Daiichi nuclear
each task and audit the outcome—just to be sure that the
shipment fromAmazon.com has a book about cats in the box,
not one about woodworking or parakeets. This online retailer
among the major adopter of robots, and a major advocate for
collaboration between humans and machines. At Amazon's
massive product warehouses, fleets of heavy-lifting robots
bring shelves of products to a packaging employee, so the
employee doesn't have to spend time locating the correct
product. According to a recent report, the company now has
200,000robotsworkinginitswarehouse.
Hospitals rely on robots for tasks that range from hauling
laundry to assisting with delicate surgeries. The world's first
complete robot surgery took place in 2010 at McGill
University Health Center in Montreal, Canada. A pair of
robots called DaVinci (the surgeon) and McSleepy (an
anesthesia bot) removed a patient's prostate. A surgical team
controlled DaVinci's arms via video control while observers
in the room monitored the operation closely. Robotics
allowed for greeted steadiness and precision in handling the
instruments than a human could achieve, but the operator still
needs to decide where and when to cut or stitch—at least for
now.
Thousands of military and police robots have been deployed
successfully to do work that is too dangerous for humans.
Robots can clear away land mines in war zones, inspect
suspicious packages on city streets, and provide 3-D imaging
of unstable buildings. Real-life robots can scout potentially
hostile environments and keep soldiers safe, like the PackBot
made by iRobot, which is used to identify explosives,
chemicalweapons,andradioactivematerials.
GoingWhereNo Human Can Go
plants. The radiation released resulted in the evacuation of
300,000 people and the development of a clean plan that will
span decades. In that unsafe environment, humans turned to
robots for damage analysis, radiation monitoring, and debris
removal.
Researchers in Australia have built a microscopic robot that
can move around in a manner similar to E. coli bacteria. The
tinymachinecouldtakeabiopsyfrominsidethehumanbody.
What IsARobot?
What distinguishes a robot from other technologies or
machines is not always clear-cut, in part because scientists
have not yet come to a consensus on which machines qualify
as robots. Generally, robots are autonomous or semi-
autonomous that can manipulate the physical environment
through their moving parts or suggestions. At a basic level,
robots need only to sense something and put what they are
sensing through a decision algorithm and act. They may
resemble humans or other living things, and their range of
capabilitiesmaymimic“thought”andautonomousfiction.
Humanoid devices with a broad array of abilities and
decision-making skills are becoming more common, from
Honda's Asimo, which resembles a person in a spacesuit, to
Baxter, a robot factory worker. Rethink Robotics, the
company that created Baxter, says that one of its advantages is
trainability—you can show it what to do rather than program
instructions. But today's robots still depend heavily on people,
from robotic arms and other factory equipment that needs the
correct coordinates to know where to go to the many military
devices that need orders from a human operator. However, as
artificial intelligence research advances, robots may someday
becapableofmakingtheirown choices.
™
23JUNE 2020

CirroLytix Research Services is a
social impact data analytics company
that leverages data to make a positive
data-driven change in the world. The
company offers innovative solutions
that work best in hybrid cloud
environments. The Founder and CTO,
Dominic Vincent Ligot established
CirroLytix with a mission to help
governments, non-profits, researchers,
international and local organizations
succeed at addressing collective social
problems worldwide by harnessing the
full power of their data.
S
ince 2016, demand for data
services has increased while, at
the same time, schools and
universities have begun producing
knowledgeable graduates in the basics
of data science and analysis, allowing
companies to hire their own data teams
more easily. This resulted in lesser
demand for low-end analytics and
business intelligence. Companies that
operate at the higher end of machine
learning and data engineering
processes continue to flourish,
particularly those that can implement
flexible infrastructure such as hybrid
cloud environments.
The Notion behind CirroLytix
The motivation behind the inception of
CirroLytix was to address a glaring gap
witnessed by Dominic while he was
working as established data science
and IT consultant. He noticed that IT
vendors were too focused on pushing
technology and licenses than solving
problems for clients. On the other
hand, consulting firms had a lot of
After back-to-back productive years in
2017-2018, Dominic felt a new domain
was calling him: the UN Sustainable
Development Goals. So in 2019,
CirroLytix joined the Break The Fake
hackathon organized by YSEALI and
sponsored by USAID. The goal of this
program was to use technology to help
fight fake news. In this event, the
CirroLytix team designed Troglodyte,
an algorithm to map and tag
conspiracies in fake news and won the
Southeast Asian grand prize beating AI
contenders in Malaysia and Indonesia.
clients and beneficiaries,” says
Dominic.
Venturing Into New Domain
Shortly after that, CirroLytix won the
NASA International Space Apps
Challenge with Project AEDES. It is a
solution that combines satellite data,
climate data, social listening, and
predictive modeling to help monitor
and detect mosquito hotspots that
caused dengue fever, as the Philippines
was suffering a dengue epidemic at the
time. “These experiences would prove
educational for us and instrumental in
our evolution to become an SDG-
driven data firm,” asserts Dominic.
Standing out from the crowd
After achieving success in Break The
Fake and NASA hacks, CirroLytix
shifted its focus from commercial
analytics work to the social impact
sector. The company would bring its
track record in marketing, financial,
human resources, and operations
applications to make a difference in
Meanwhile, the dynamic leader has
already built up substantial practical
experience using data analytics from
working in HSBC and ANZ global
banks. Later as a Data Science Lead
for Teradata Corporation, he figured he
could offer an alternative in the market.
“My motivation was to push the
envelope with clients to embrace
cloud-based technologies, go beyond
data experimentation, embed
automation and predictive modeling
methods in their business, and
maximize the use of big data. Clients
embraced our hybrid approach:
combining data science, consulting,
and training, but without making
technology the centerpiece, instead we
discussed real solutions,” shares
Dominic. As a result, CirroLytix came
into existence.
paper ideas but lacked the ability to
execute them with technology.
Furthermore, data science, big data,
and artificial intelligence were
common buzzwords used by firms.
However, Dominic rarely encountered
firms who were really knowledgeable
beyond dabblers in the scene.
Today, as the CTO, Dominic still calls
much of the shots in terms of the
company’s technology vision. But, as
the company grows, he interacts with
younger team members who are more
knowledgeable with the latest
emerging tech and just as passionate
about social impact. “Finding like-
minded people committed to solving
social problems is the biggest reason I
do what I do, especially once it
translates to positive change for our
CirroLytix Research Services
Harnessing The Data Value Chain To
Achieve Positive Change
Artificial
Innovative10THE
™
26 JUNE 2020

Furthermore, because of its emphasis on the entire data
value chain: data sourcing, storage, analysis, and data
products, CirroLytix is differentiating itself from others.
Most of its peers mostly focus on data science. But, it has
covered data engineering, combining data such as sensor
feeds, public sector datasets, remote sensing (satellite data),
and social listening with artificial intelligence and machine
learning to improve its services.
Connecting AI With Data
“AI at a high level is still a loose coalition of research
technologies such as computer vision, NLP, statistical
modeling, and process automation,” says the CEO
Dominic. He believes that over the next years, there will be
advances and further integration of these methodologies to
come up with solutions for humanity. He further states that
the future of AI will depend on the next generation of
practitioners who are not just knowledgeable with the
algorithms and data structures but also the ethics of using
AI.
projects such as public health, food security,
disinformation, and human rights.
Emerging Challenges To Address
CirroLytix believes after COVID-19 is resolved, people
will have to face numerous obstacles in a radically different
world where oil has less value, virtual work is the norm,
health and ecology are paramount, and data ethics is top of
the agenda. Therefore, the company’s approach is to bring
cutting edge technologies such as AI, remote sensing, and
social listening to bear on social problems. It hopes to
leverage its recent experience using data to address
COVID-19 and public health-related challenges towards
solving other social problems.
Developing New Projects, Enhancing Existing Services
The past success with hackathons inspired CirroLytix to
conduct the Bangsamoro Data Challenge, an initiative that
generated solution prototypes and data research projects for
the public sector. The company currently supports Data Ethics
PH, a monthly podcast that tackles pressing ethical issues such
as data privacy, security, data poverty, disinformation, AI
discrimination, AI liabilities, and algorithmic justice.
CirroLytix is collaborating with public health practitioners on
epidemic modeling and pandemic risk assessment on the
health front. It also supports the CoronaTracker, a WHO-
recognized initiative to monitor the coronavirus statistics
globally and also COVID-19 research. The company will
continue to refine and promote its hackathon products:
Troglodyte and Project AEDES.
Working With Global Funders and NGOs
COVID-19 has certainly brought pressure to bear on
commercial firms to secure deals. Its social impact focus has
uniquely positioned CirroLytix to work with global funders
and NGOs in providing data-driven interventions for the
COVID-19 crisis. CirroLytix Research Services is currently
involved in various capacities from epidemic modeling, social
listening for food security and human rights, remote sensing
for pandemic monitoring, and research.
and social enterprises
leverage their data
value chain to achieve
positive change.
analytics solutions
Our applied
help governments,
researchers, NGOs,
Dominic Vincent Ligot
Founder & CTO
™
“
27JUNE 2020

Arguably, Covid-19 is one of
the biggest challenges for
every industry. The abstruse
part is that it brings several other
challenges along with it. Irrespective
of the region and business, it has
affected everyone extensively.
Founded in 2012, , an AIFlutura
Solutions company is also tackling
some similar challenges. At present,
the company's major challenge is the
decline in industrial activity and
general market shock'. Due to Covid-
19, there is an abrupt pause in the
critical technology projects, the fear is
that this will further lead to
insufficient development or partial
implementation, thus hampering the
industrial AI progress.
AI is helping industries grow at a
massive speed especially with arising
confinements across industries due to
COVID-19. Founded by the dynamic
trio of Krishnan Raman, Derick Jose,
and Srikant Muralidharan, The
company focuses on achieving
operational excellence across
industries through asset uptime
reliability and operational efficiency.
As a technology company, it serves
various clients from varied
backgrounds such as Oil & Gas,
Process Manufacturing, and OEM.
Preparing To Combat the Situation
Presently, the oil industry is under
twin assault from the demand
destruction caused by Covid-19 and a
price war between key global
Cerebra: An award-winning IoT
platform
Cerebra—Flutura's flagship AI
platform creates industry-specific
solutions across the value chain of Oil
& Gas, Process Manufacturing, and
OEM using its vertical-specific digital
assistants. The product is configurable
at the product and feature level. This
helps clients experiment with the
product as a 'plug and play' platform
making it easy to use, be it, field
operators or corporate executives. It
has self-learning capability and it
leverages both domain knowledge as
well as technology expertise making it
an industry preferred product.
excellence with better resource
utilization and reduced
wastage/rework.
The company gives importance to
achieve operational excellence and
impeccable quality with the shortest
turnaround time. This has helped its
clients realize the value of Cerebra
within 90 days of installing the
product. With the analytical digital
twin, clients can simulate different
models of an asset to connect the best
fit. The digital twin also helps in
scaling the solution for a larger base.
Flutura was one of the few companies
to appear in Gartner's Magic Quadrant
for IIOT platforms, it also received
the highest ratings (4.8/5) from its
customers in Gartner Peer Insights
Voice of Customer report for IIOT
platforms, 2019. Flutura is currently
Ÿ In the short term, it sees the
adoption of digital technologies in
the industrial domain as a must-
have for survival. It is currently
helping a few forward-looking
companies achieve fuel
affordability through operational
Ÿ In the immediate -term post-
COVID, industries will still be
facing the challenges of social
distancing and mobility
restrictions. With Industrial AI, it
is planning to negate any such
inevitable challenges by using
remote monitoring, video
analytics, and Other technology-
driven solutions for operators to
mitigate the adverse conditions
and boost work safety.
producers that have reduced the oil
prices. Accompanying Covid-19,
other challenges such as mobility
restrictions and social distancing, and
overall health concerns have hit the
Process Manufacturing and disrupted
the entire supply chain. Many
companies are getting back on their
feet and they are paying more
attention to enable their operations
with digital technology to improve
productivity, quality, and most
importantly safety.
Taking charge of the current
challenges, Flutura has divided all its
challenges into the buckets of the
mid-long-term effects of COVID and
is prepared to combat the situation
through strategic business planning.
Flutura
Accelerating Revenue Growth, Profit Generation,
and Cost Savings
Artificial
Innovative10THE
™
28 JUNE 2020

working on 2 major products. Cerebra Augmented Vision
Intelligence is the video-centric approach to enhance the
safety of the operators or filed engineers and do quality
checks by doing image processing. Engineer's workbench
concentrates on empowering operators or field engineers
by bringing data science to engineers.
Krishnan Raman, CEO of Flutura is primarily
responsible for understanding the market movement and
look after existing customers. The team is on a mission to
unlock 1 billion USD worth of value for its customers by
2024 and his role is to ensure that the team achieves it.
Efficiency is the common theme of the company and the
team is looking to start for the next possible efficiency
levers to improve the bottom line and top line. Flutura
zeroed on unplanned downtime of heavy machinery and
Machine Influenced Process Deviations.
Understanding the Responsibilities
Flutura has 100 plus members who act as the backbone of
the company. Especially in the current times, when things
are gloomy, the company's work has become more
important than ever. Within a week, the team has
developed a feature using Video streams to ensure safe
distance between workers. Currently, the company is
busy with two new products, and working on 2 more.
Positive customer feedback has kept the team motivated
and inspired.
Over the years, the implementation of AI across the
industries has proved to be very impactful. This has been
backed by several surveys conducted by credible sources.
With time, there is improved data literacy, greater
transparency, and a sustained focus on the ethics of AI.
Industries are reaping the benefits of AI in terms of reduced
operations cost, optimum resource utilization, accurate
forecasts, improved customer acquisition to name a few. But
it is important to note that different industries are at different
levels of AI maturity. For instance, while Oil & Gas is in the
AI Proficient stage, process manufacturing is in the AI
Ready stage, but OEM is still in the AI Novice stage.
AI Impacting Present and the Future
The future of AI will be seen across industries in a very short
time. AI will not be an option but only a way to do business
with high competition. Currently, Flutura is working with
multiple organizations. One of them is an integrated Oil &
Gas supermajor (the second largest company in the domain),
another one is a major midstream pipeline company, then
there is a leading adhesive manufacturer and a leading
catalyst manufacturer. Soon, it will be launching Engineer's
Workbench (EWB), its latest product for Industrial
engineers. EWB concentrates on empowering operators or
field engineers by bringing data science directly in their
hands. In a few clicks, they can do the analysis for which
they have to rely on external teams.
Trust is the highest
form of human
motivation and we at
Flutura believe it brings
out the very best of
human values in people.
Trust encapsulates
integrity, intent,
capability, and result.
Krishnan Raman
CEO
™
“
29JUNE 2020

The development of AI technology is further driven by
research and the information environment. Although both
factors are important, but the information environment has
the stronger driving force. With the emergence of big data,
increasing use of internet, rise of information community,
The proliferance of Artificial Intelligence has
increased significantly over the recent years. With
AI-related research and applications rapidly
increasing, industries are inclining more towards the
potential uses of AI. According to a issued byreport
venture capital corporation CB Insights in the US in 2016,
Google, Twitter, Microsoft, Apple, Intel, and other
information technology giants have acquired over 140
entrepreneurial firms in the field of AI since 2011. This
large number of mergers and acquisitions, along with the
influx of capital are accelerating the development of AI
technology.
the information environment surrounding AI has
significantly changed. Furthermore, development of e-
commerce, and interconnection and fusion of data and
knowledge in society, physical space, and cyber space are
also contributing to the change. This has led AI to a new
evolutionary stage, viz In thisArtificial Intelligence 2.0.
article, we will look upon the emergence of AI 2.0 and
dive into some important insights.
The External Dynamic Forces Promoting AI 2.0
· With the popularity of mobile terminals, internet,
sensor networks, vehicular networking, and
wearable devices, the information environment of
The formation of AI 2.0 is promoted by several external
forces. The concept of AI actually originated prominently
from the changes in four areas as mentioned below.
A Blend of Natural Intelligence
and Artificial Intelligence
Intelligence
Artificial
2.0
™
30 JUNE 2020
AI 2.0

· The AI research is shifting from
being driven by academic
curiosity to being driven by
demands that are focused outside
of academia. Moreover, as the
social demands of AI are
expanding rapidly, AI research is
also undergoing swift changes.
Moreover, the new goals and
problems in intelligent cities,
medicine, transportation, logistics,
manufacturing, and smart
products as well as driverless
automobiles and smartphones, all
require AI development, thus
many enterprises are actively
promoting new AI research.
· The goals of AI have also
undergone major changes. AI has
transformed from the pursuit of
'using a computer to stimulate
human intelligence' to enhanced
hybrid intelligence systems
combining machines and humans,
new crowd intelligence systems,
and more complex intelligence
systems, such as intelligent cities
combining humans, societies,
physics, and cyber systems.
st
the 21 century has changed profoundly.
The sensing devices are extensively
distributed throughout the cities, and the
unprecedented rapid expansion of
networks connecting individuals and
groups throughout the world continues to
reflect and aggregate demands, knowledge,
and capabilities. Furthermore, world has
evolved from a binary space – physics and
human society or PH, to a ternary space –
cyber, physics, and human society or CPH.
These CPH interactions have formed new
computing paradigms and have promoted
the need of AI 2.0
Newly Emerged Technologies Driving AI 2.0
Several new technological advancements are also driving the development
of Artificial Intelligence. Here are some of these technologies that are
driving the AI 2.0.
· Autonomous Intelligent Systems: Robotics development has
been a focused target since the birth of AI, with bionics as an
important developmental direction. However, most bionic robots
that were developed over the past 60 years have failed upon
application. Advancements in developing automated intelligent
mechanical equipment are more effective, easy, and economical.
Thus, the autonomous-intelligent systems will be an important
developmental direction for future generations of AI.
· Cross-media Intelligence: An important characteristic of human
intelligence involves the comprehensive utilization of the
information attained from various forms of perception, including
vision, language, and auditory sense, to enable recognition,
inference, design, creation, and prediction. Likewise,in 2013, a
paper in Nature entitled “ ” discussed the term cross2020 Vision
media as describing the integration of text, images, voice, and
video. Cross-media intelligence represents a cornerstone of AI, in
that it allows machines to recognize their external environment.
Presently, it is in the early stages of its development, however, it
is expected to form an important filed of AI in the near future.
· Human-machine Hybrid-augmented Intelligence: Human
intelligence constitutes a form of natural biological intelligence
that is different from that of AI. The simulation of human
intelligence by computer is important; in contrast to such
simulation, hybrid intelligence systems are formed by cooperation
between computer and humans to form an augmented intelligence
of “1+1>2.” Wearable devices, intelligent-hybrid vehicles,
exoskeleton devices, and human-machine collaborative surgeries
have been developed till date, suggesting that the human-machine
hybrid-augmented intelligence system has vast potential for future
development.
· Internet Crowd Intelligence: The Internet Crowd Intelligence
technologies have recently gained ground. A research divided the
crowd into three types according to the difficulty level –
crowdsourcing used to realize task allocation, complex
workflows, and problem-solving ecosystems. The large scale
crowd exhibits extraordinary intelligence capabilities through the
participation and interaction of individuals on internet, which
constitutes this new type of intelligence system. Internet Crowd
Intelligence computing can greatly enhance the knowledge base
available to human society, and has extensive and important
applications as well.
™
31JUNE 2020

AI 2.0 is a new stage of AI research that is different from
that of the past 60 years. It focuses on the current
technological advances, with the goal of pursuing
breakthroughs in AI by combining internal and external
driving forces. Moreover, AI 2.0 will integrate natural
intelligence and artificial intelligence to enhance human
intellectual activity, and will be closely integrated into
human life (cross-media and autonomous systems) to the
point of being a part of human body (hybrid augmented
intelligence).
Ÿ Lastly, the data resources related to AI are also
changing. AI depends upon data-driven algorithms and
gives rise to a new information environment. These
calculations will be driven by an increasing amount of
sensors and networks, big data, and cross media
information. Thus, the development of AI related to
these aspects, with a perceptive and fused intelligence
is inevitable.
AI 2.0: Salient Features
Furthermore, it will be capable of reading, managing, and
recombining human knowledge to make suggestions for
social problems, including daily life, production, resource
usage, and the environment. In the future, with assistance
of AI 2.0, humans will be able to obtain better insight and
effective management to interact with complex
macroscopic systems including urban development,
ecological protection, economic management, and
financial risk. AI 2.0 will also be able to solve problems,
such as medical treatment, product design, energy
conservation, and safe driving.
To conclude, as the world moves rapidly towards the
technological age, organizations will need to cope with the
changing market scenario and for that, they will need to
adopt the new technologies such as artificial intelligence,
machine learning, blockchain, etc. These technologies will
surely help businesses survive and prosper in this new
technology age.
™
32 JUNE 2020
AI 2.0

Sankha and his founding partners
Rajith Munasinghe (Co-Founder and
CMO), and Mohit Pande (Co-
Founder and Senior Vice President)
understood the potential of
Collaborative Intelligence a long time
ago and thus established Linear
Squared with a vision to deliver ready
to use AI and ML-driven products that
convert data to proactive actions. The
founders sensed that offering a
combined Machine learning and Big
Data solutions for the mass
With the adoption of
technologies, businesses
and industries are
undergoing digital transformation. Due
to technological advancements, AI is
becoming an integral part of the digital
transformation process. The use of AI
technology is estimated to grow up at
USD 98 billion by 2023 according to
the reports of IDC and Gartner predicts
that the global spending on AI will be 3
folds in the next 5 years. By uncovering
the AI potential and deploying them in
business, practices will lead to the rise
of adoption. It is anticipated that
customers will prefer products that are
easy to deploy and give a very high
ROI. This increased adoption will
contribute to making AI the new norm
of the business world. Sankha Muthu
Poruthotage (Co-Founder and CEO
of Linear Squared) believes that
collaborative intelligence will play a
vital role in upgrading the AI
performance. He says, “Collaborative
Intelligence is the key to this, if AI can
be made more creative, applicable and
accessible across many industries and
it will no longer be viewed as a
technology of the elite.”
Proficient Leader and a Self-
Motivated Team
Where the products in the market
juggle between either scale or accuracy,
Linear Squared products achieve both
scale and accuracy without
compromising one another. The team of
Linear Squared ensures that the
products deliver the user the ability to
build 1000s of models whilst
considering a multitude of influencing
variables. This team is under the
leadership of Sankha who has managed
to deliver the best products to the
customers. Sankha, along with Rajith
and Mohit, looks over the operations of
the company. However, primarily
Sankha heads the product development.
He holds a Ph.D. in Statistics from the
University of Connecticut, USA. He
specializes in classification techniques
using both parametric models and
Machine Learning algorithms,
regression and GLM models, clustering
and segmentation techniques, survival
models, changes point detection, and
sequential techniques.
Currently, as pandemic has forced the
businesses to work from remote
locations, it becomes tough to
communicate and understand further
As a leader, the responsibilities are
never-ending and sometimes the role
gets overwhelming, however, Sankha
enjoys his role in product development.
He gets to be the part of fun debates
with the team members, like with the
Data Science team on algorithms, with
engineering teams on Software
Architecture, with Rajith and Mohit on
the product strategies.
consumption could make this tech
familiar even for the non-technical
users. Sankha further explained, “To
draw a parallel from the PC industry,
during early days personal computing
meant assembling several components
such as display units, keyboards, and
motherboards on your own. It was
limited to technical uses until Apple II
came along. We felt that Machine
Learning was at a similar stage!”
Innovative Suite of Products
Linear Squared is an innovative tech
company specialized in building
products that deliver ready-to-action
insights using Artificial Intelligence and
Machine Learning technologies for
businesses across multiple industries.
Its products leverage on Machine
learning and Deep Learning algorithms
that enable these products to achieve
both scale and accuracy. The SaaS
product is cost-effective as it leads to
paying per usage model which makes it
affordable to many companies. Also,
these products are easily deployable
across industries because the
companies can train their own data and
customize it to capture industry
specifics.
These innovative suites of products
2
comprise, FORECAST , this is a
highly scalable, multi-variant
forecasting solution that allows users to
build 1000s of forecasting models in
2
just 05 minutes. Also, CAPACITY
which is the world's first Artificial
Intelligence-driven sewing planning
assistant for the apparel industry.
Linear Squared
An Innovative Platform O ering A Robust And
Comprehensive Suite Of Products
Artificial
Innovative10THE
™
34 JUNE 2020

35JUNE 2020
strategies. Times like these demand a leader that can
motivate the team and push them forward. Nevertheless,
Sankha states that it is opposite in Linear Squared as it's the
employees they draw motivation from. The team comprises
young teammates thus they are self-motivated. This runs a
positive attitude throughout the work ecosystem. “I draw a
lot of inspiration and motivation from them! Not the other
way around. I would like to think it's a combination of
culture and the kind of work that we get to do,” conclude
Sankha.
However, the team of Linear Squared has managed to turn
this crisis into an opportunity and currently is working with
customers to train ML models using data from other
indicators, which can reflect consumer behavior during
these times. The pandemic has opened up new opportunities
for the retail industry, especially for online grocers. Also,
many of its clients have recorded a surge in demand and
benefits. Change of events has shed light on the importance
of better forecasting and inventory management. Apart from
this, the healthcare and pharmaceutical industry are being
digitally transformed due to customer demand. Keeping up
The unprecedented effect of the pandemic has created chaos
in many business operations. It led to an irrational buying
pattern, which was not something the retail customers had
experienced before. The panic amongst individual surged
the rise in purchasing goods. For years, Linear Squared has
brought together cutting-edge technology and native
industry understanding to aid data-backed strategic
decision-making and execution. However, in the wake of
the COVID-19 crisis the biggest challenge the team faced
was not being able to stimulate such an event due to the
lack of data related to such behavior. Sankha said, “We were
not able to build models to capture such a scenario.”
Unprecedented Challenges of Pandemic
with the demand Linear Squared is updated with the
requirements and upgrading products accordingly.
Sankha further advises that one can rarely get these elements
fine-tuned through money thus the focus should be on getting
them right. Start from the simple and solve a narrow problem at
first. Understand the process of fine-tuning these elements
through that narrow solution. By tackling these elements and
fine-tuning them accurately will prepare the entrepreneurs for
the bigger challenges set ahead in the journey.
Through the years, Sankha has been benefitted with the rich
industry experience and has helped him establish a leading AI
solution provider company like Linear Squared. According to
him, a successful business needs to have many elements
aligned like the product, pricing, distribution, marketing and
branding, teammates, etc. All of these elements need to align
properly which requires a continuous tweak and measure them
to get them fine-tuned. This process requires time and effort,
which makes patience and hard work the key here.
Linear Squared has always been innovating and experimenting
2
with its products. Recently, FORECAST had a major release
and in the coming months, the team plans to launch new
2
modules of FORECAST . Sankha believes that start-ups have
a rich appetite for risk-taking, he concludes his statement by
saying, “Funnily enough, start-ups are more than willing to
launch new things than more established organizations.
Sometimes I feel we have to launch less and persevere more.”
Essential Elements for Business
With a great pool of
Data Scientists in Sri
Lanka, we have some of
the best minds working
with us to solve the
toughest problems,
which you may have.
Sankha Muthu Poruthotage, Rajith Munasinghe
& Mohit Pande (Left to Right)
™
“

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10 Innovative Artificial Intelligence solution Providers of 2020

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