At Innova Solutions, they combine ideas, workforce, and technology to deliver leading results. They use a variety of processes to create an exceptional outsourcing experience for our customers. They are a proud team of 200+ experts who work day-to-day and add significant value to the field of customer experience and data criticism. Annova Solutions is set to explore new frontiers in the global delivery industry driven by a unique combination of superior talent capabilities, cost-effective delivery engines, and state-of-the-art tech accelerators.

1. L
Swift ft
Swift the solution, Lift the business!
MAY 2022
www.swiftnlift.in
1
Most Dynamic
Leaders in Machine
Learning Industry
2022
Annova Solutions
private limited
Vikas Dubey
CEO & Founder

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Chief Editor
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MAY 2022
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Marketing and Sales
Technical Team
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Managing Editor
Parag Ahire
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Amrin Ahmed

6. From the
EDITOR
T
echnological advancements have leaped
multiple years ahead of time. The last two
decades have demonstrated the possible
growth & evolution of mankind. Information
technology & Internet made it possible for billions.
Researchers and scientists are yet to be satisfied
with what we have today. There has been a
glimpse of future tech in several tech festivals
and exhibitions. Now, we are heading towards
automation.
Artificial intelligence and machine learning are hot
topics in the tech industry. This field is said to be
under development and might require some time
to be commercially introduced on a mass scale to
the general public. Mainly focusing on machine
learning, it has the most chances to make our
machines truly smart.
Machine learning is considered a part of artificial
intelligence built to learn. It is a set of algorithms
created for machines to understand several
actions and reduce manual operations. Machine
learning is utilized in several applications, such
as speech recognition, email filtering, medical
science, computer vision, etc. Deep learning is a
subdomain of machine learning. It is considered

7. a key technology in driverless cars and auto-
responsive chatbots that understand and
recognize signs, actions, and commands just
like the human brain.
A computer model learns to execute
categorization tasks directly from images,
text, or sound in deep learning. Deep learning
models can achieve cutting-edge accuracy,
sometimes even outperforming humans.
Models are trained by utilizing a huge quantity
of labeled data and multilayer neural network
topologies. In short, deep learning helps to
achieve a high level of accuracy.
We must know that deep learning was
theorized in the 1980s. It has gained
popularity in recent times. The reasons were:
advancement and acceptance by the public
and certain authorities at large. Machine
learning, deep learning, and AI are those rising
technologies that consume large amounts
of electricity. Over the last two decades,
electricity production has been reaching
new heights. Alternate sources for electricity
generation contributed to the development of
machine learning and AI.
On the cover page of our edition of “10 Most
Dynamic Leaders in Machine Learning
Industry - 2022”, we have Vikas Dubey,
Founder & CEO of Annova Solutions Private
Limited. It provides services all over the world
to multiple industries.
SwiftNLift focuses on spot-lighting firms and
startups that contribute to shaping lives better
with their intention to make our society a
better place. It was a collective effort made
by our team to bring this edition. As the
Chief Editor, I am grateful to have you as our
reader. I hope you enjoy reading this piece
of our efforts. We have other sections filled
with trusted and resourceful knowledge &
information to garner your reading habit.
Nilesh Sabe
Chief Editor
- Nilesh Sabe

8. Gahan AI KnowDis Data
Science LLP
Nooromtech
Private Limited
Annova
Solutions
Private
Limited
10
COVER STORY
C O N T E N T

9. 23
AI- replica
of human
AI & Machine
learning aid
business
growth
Evolution in
AI & Machine
learning
No sector
without AI
& Machine
learning
Query Data
Systems Private
Limited
MT Digital Labs
Digitap.ai
Happymonks AI
Labs Pvt Ltd
Think Evolve
Consultancy LLP
Chisquare Labs
26
ARTICLES
30 34

10. Vikas Dubey
CEO & Founder

11. Annova
Solutions private limited
1
Most Dynamic
Leaders in Machine
Learning Industry
2022

12. Annova Solutions private limited
1
Most Dynamic
Leaders in Machine
Learning Industry
2022
Vikas Dubey
CEO & Founder
At Innova Solutions, they combine ideas, workforce,
and technology to deliver leading results. They
use a variety of processes to create an exceptional
outsourcing experience for our customers. They are a
proud team of 200+ experts who work day-to-day and
add significant value to the field of customer experience
and data criticism. Annova Solutions is set to explore
new frontiers in the global delivery industry driven by
a unique combination of superior talent capabilities,
cost-effective delivery engines, and state-of-the-art
tech accelerators.
At Annova Solutions, they believe in solving problems
and overcoming challenges for our customers. Their
leaders have extensive knowledge in various verticals
around the world. Their teams are driven by innovation,
new technologies, and adaptability that make working
with them flexible yet efficient. Annova sets up
Knowledge Service Units (KSUs) that are nothing more
than an extension of your team - except that Annova
does most of the heavy lifting, thinking, and execution,
so you can sit comfortably, relax and focus on most of
the strategic areas of your business.
Their Project Case Studies:
☐ Data labeling operations: US-based sports and
entertainment technology company that focuses on
creating innovative technology solutions for data
retrieval that in turn, help players improve their
experience and performance. The project aimed to
help the client with data labeling services to further
enhance its machine learning model.
☐ Business finance operations: They combine
Australian SMEs with the right finance and financial
technology solutions. With operations across
Australia and India, they are in a good position to
engage businesses with their preferred partners. They

13. implement customized digital strategies to engage
with small business owners and their engagement
with these SMEs provides a powerful platform
for delivering value-added solutions and, in turn,
becoming a valid partner in the growth journey of
many businesses.
☐ Contact center operation: This client has a team
of 300+ outreach consultants who are based in the
US. And operating from various locations in the
Philippines. The basic goal is to increase the reach of
the client team through various channels.
Their services:
☐ Data training and critique
Artificial Intelligence has established itself among
the most incredible industries in the world. Be it
security, medical, gaming, or any other field, there
is a lot of automation. Large amounts of data are
produced and managed every day to streamline life
with AI. At Annova Solutions, they work tirelessly
to ensure that such AI models get data with 99.9%
accuracy to make them robust models.
☐ Categories of data training
■ Image annotation
■ Computer Vision
■ NLP
■ Face detection
■ Geospatial algorithms
■ ML / AR / VR algorithms
☐ Their Design For Success:
They provide end-to-end solutions with smart
people, AI-powered solutions, process excellence,
and detailed analytics to enhance your customer
experience. From the best hiring in the class, process
excellence, intelligent automation, and strong
infrastructure for the customer and team, they take
care of everything to deliver effective solutions.
Their AI-powered solutions for customers
■ Tap: Automated digital customer service on any web
touchpoint.
■ Text: AI-powered chatbots that automate processes.
■ Talk: Voice bots that help the customer.
■ Multitask: Multimodal visual IVR to facilitate
channel shift.
AI-powered solutions for teams
■ Guidance: Call center scripting for the next
best action.
■ Automatic: Attended RPA robots for employees.
■ Assist: Agent assistance powered by RPA and AI.
■ Integrated: Modern agent desktops for multi
skilled agents.
■ Home healthcare services
To improve the quality of care and reduce costs
Annova works with different stakeholders such as
PCP practices, health plans, service providers, and
consulting companies’ innovative solutions.

14. Their Medical Coder Training:
India, as well as the USA both, have a lot of scope for
the medical coders where they can expect to earn a
very great package. If you have the required minimum
qualifications, you too can expect to be a part of this
super-fast-growing industry with high growth potential.
You should qualify for this exam because a certified
medical coder is paid more than a non-certified
medical coder. Coders who hold a certified professional
coder certificate earn 20 percent more than their non-
certified counterparts. AAPC also offers a variety of
other certifications that certify the knowledge of an
individual in other medical fields.
Annova Solutions offers Certified Professional Coder
(CPC) Examination training through an interactive
face-to-face mode for which classes are conducted at
their Indore Institute campus. They will provide you
with study materials, assignments, test papers, case
studies, and lectures on key areas, which will help you
clear the CPC test.
So, if you’re a Graduate/Post Graduate Degree/
Diploma holder in Pharmacy, Healthcare, Medicine,
Dentistry, Biology, Zoology, Nursing, Microbiology, or
Biochemistry you are welcome to apply for the medical
coding training course. Their Course typically covers
topics like medical terminology, body systems and
anatomy, electronic health records as well as learning
how to use the CPT Manual, ICD-10 and HCPCS
Manuals, CMS-1500 Claim Form, and the UB-04
Claim Form.
Conclusion
They are leading masters of AI and machine learning
services, computer vision services, healthcare
operations, and shared service partners in India. They
work for clients worldwide, 90% of whom are from
the USA.
Website- https://annovasolutions.com/

16. Company Logo Company Name
Company
Management
Gahan AI Sohini Hazara, Principal
KnowDis Data Science LLP Saurabh Singal, Founder
Nooromtech Private Limited Krishnan Unni Vinay, Manging Director
MT Digital Labs
Navneetha Babu, Founder & CEO
Happymonks AI Labs Pvt
Ltd
Bhavish Agarwal, CEO & MD
Chisquare Labs Dilip K Goapl, COO
Query Data Systems Private
Limited
Ritika J, Director & Founder
Digitap.ai Nageen Kommu, Founder & CEO
Think Evolve Consultancy
LLP
Aakash Gupta, CEO & Founder
10 MOST DYNAMIC LEADERS IN
1
Most Dynamic
Leaders in Machine
Learning Industry
2022

17. Company Description Website
Passionate towards upgrading the software
applications to enhance user experience https://gahanai.com/
Industry specific AI applications to support
smooth & effective functionning https://knowdisdata.com/
Artificial intelligence development for voice
recognition that will enhance the user experince https://nooromtech.com/#top
Data-driven insights to assist businesses take
decisions as per requirements http://mtdigitallabs.in/
AI & privacy preserving techniques to build an
ecosystem for autonomous machines and cyber
physical systems which aids humans in making
quick, smart & better decisions
https://happymonk.co/
Optimize your business processes & growth with a
reliable global IT specialist organization for end-
to-end software solutions & IT consultancy
https://www.chisquarelabs.com/
Deliberate development in AI & IOT based
systems & products to democratize applied AI
technologies
https://www.querydatasystems.com/home
Solutions for new age internet driven business to
demonstrate the best out of company’s potential https://www.digitap.ai/
Tech consultancy startup to resolve technical
issues at ease https://www.thinkevolveconsulting.com/
MACHINE LEARNING INDUSTRY -2022

18. PRESS REALEASE
NEWS PROVIDED BY Synaptic May 31, 2022, 10:00 ET: The firm plans to use the funds to usher in a new
era of data-driven investing and decision-making.
GURGAON and BANGALORE, India, May 31, 2022 /SwiftnliftPR/ Synaptic, a leading alternative
data insights start-up, announced today that its $20 million Series B fundraising round, headed by
Valor Equity Partners, was successfully closed. Synaptic brings powerful alternative data insights to
decision-makers by combining the best of technology, machine learning, and finance.
Anurag Abbott and Rohit Razdan, Co-Founders - Synaptic
Valor Equity Partners invests $20 million in Synaptic in a Series B
funding round

19. Workflow solutions for PR / CSR / MARKETING
www.swiftnlift.com
Copyright © 2021 Swiftnlift. All rights reserved
Synaptic will use the funds to continue investing in product innovation, grow its data science skills,
and partner with data vendors, as well as expand its go-to-market teams in key global
financial hubs.
“Every year, the amount of data collected around the world increases tremendously, and this
data can be useful in giving accurate, thorough insights across a wide range of markets. However,
because the data is unstructured, raw, and continuously changing, it is challenging for businesses
to make effective use of it. Every day, we analyse billions of data points to give investors and
organisations with trustworthy insights that help them make better decisions. We will greatly expand
our reach and bring our expertise to new markets and geographies as a result of the Series B
fundraising. We are very excited about Valor’s investment and are looking forward to working with
their tremendously seasoned staff “Synaptic Co-Founder Anurag Abbott remarked
Leading Venture Capital and Private Equity organisations, Hedge Funds, and Asset Managers
throughout the world entrust Synaptic with hundreds of billions of dollars in assets. Investors wishing to
use varied alternative datasets in finding and tracking companies of interest, market research, and
portfolio monitoring might use Synaptic’s data and insights platform. On hundreds of thousands of
public and private organisations around the world, the Synaptic platform pulls together well over 100
performance parameters such as online and mobile traffic, SEO data, employee statistics, product
reviews, developer activity, search trends, and so on. These are combined with machine learning-
powered analytics and an automated insights engine to provide investors with personalised insights
from their data that would otherwise go unnoticed.
Antonio Gracias, Valor’s Founder, Chief Executive Officer, and Chief Investment Officer, said of the
investment, “Valor has a long history of using alternative data to help them make better decisions.
Alternative data is becoming increasingly important as the world becomes more chaotic. We’re
thrilled to be able to help the Synaptic team improve the accessibility and utility of alternative data.”
Synaptic began as a data and analytics unit within Vy Capital, a $6 billion AuM global technology
investment firm, and was spun out as a separate company in 2016. Ribbit Capital, Felicis Ventures,
and Vy Capital Management previously invested $6 million in the company as seed and
Series A capital.
Rohit Razdan, Synaptic’s Co-Founder, said of the funding, “This is a huge step forward in realising
the full potential of combining machine learning and analytics with alternative data to better
investment decisions. We appreciate existing shareholders’ ongoing support as well as the addition
of new investors. Alternative data is only now becoming a part of the $100 billion research and data
business. We aim to be the go-to partner for every company that wants to use alternative datasets.”
SOURCE : Synaptic
Media Contact
Sam Mathew
Media Co-ordinator
SwiftNLift PR
Contact No: +1 614 356 7742
m.sam@swiftnlift.com

20. About the Founder
I did my Masters in Computer Science and PGD in Data
Analytics, so I understood how AI and Computer Science
can change the world. Before joining the industry, I
worked as a Lecturer. During that period, I went through
a lot of challenges and always wanted to make a difference
in this field. But then I got an opportunity to join a startup
as a Machine Learning Engineer. That’s how my career in
the industry started.
I learned a lot about product development there. I
understood how to convert PoCs into great products.
However, I realized that I was trying to solve problems
in a certain area within their portfolio and wanted to
build something in the field of EdTech. I always wanted
to revolutionize the edtech learning platform where
the online learning experience could be exactly the
same as in-class learning. So, I started Gahan AI, and
now every day fuel my passion with my work towards
making something that changes the field of Education
for good. Moreover, this also gives me a chance to freely
think about how I can innovate in the EdTech space
with AI which is evolving and transforming the various
other industries.
Story behind GAHAN AI
While working on some of the AI-related problems in
my previous organization, it again connected me with
my initial dream about transforming the EdTech space
and bridging the gap between the online and in-class
experience. From my experience as a lecturer, I remember
the challenges I faced.
Our Platform can significantly lower the cost of an online
learning platform while providing the same in-class
experience. A few problems that immediately hit my
mind, where AI can make a significant difference in this
space were -
☐ To bridge the technology gap, as not all teachers are
Technology Savvy
☐ To Provide a Secure and User-Friendly platform that
can protect IP
☐
To bring and scale in-class experience to the
online platform
Goals & Vision
Our goal is to equip all the teachers in India with tools
that can enhance their quality of teaching.
We understand that teaching is more of an art, and
there are many good teachers with great teaching
methodologies. But, they are not in the position to
adapt & compete with some admired companies in this
space due to the technology gap. Students and more
importantly, their parents look at these technologies as
access to class recordings, monitoring student growth
& learning as features that can help their children learn
better and faster.
Sohini Hazra Founder and CEO
1
Most Dynamic
Leaders in Machine
Learning Industry
2022
GAHAN AI
Private Limited

21. Some of these technologies indeed help a lot but that
is not the entire story. The teachers and their teaching
methodologies are invaluable. That’s where we thought
we could add value and empower these teachers with
a platform that can help them improve their quality of
teaching while complimenting their innovative teaching
methods with our innovative technology platform.
Our Vision is to make Gyaan the most preferred
platform for teachers. It has innovative features like an
easy-to-use online classroom with student monitoring,
automatic exam, assignment evaluation, student growth
tracking, helping improve teaching with animations
for less technically equipped teachers, support for
various Indian Languages, automatic captioning, and
many more.
About products & services
“Gyaan” A Gahan AI Product. “Gyaan’’ is an AI-based
Secured & Organized E-Learning Platform for Virtual
Classes. It runs on all types of devices: mobile, tablet,
laptop, and desktop. Gyaan does all the tasks that a typical
e-Learning Platform does, like Video streaming services,
automatic evaluations, lecture management systems,
online classrooms, bulletin boards, whiteboards in online
classrooms, breakout rooms, hierarchical audience,
privileges, etc. But what makes Gyaan different are:
☐Provide IP and Data security to the content of the
teachers and institutes, like download protection of
videos, dynamic watermarking with students/viewers’
information to discourage recording, etc.
☐ Unlimited to students in a class
☐ WhatsApp integration
☐ Monitoring audience/viewers’ appropriate contents
☐ Monitoring attentiveness of students
☐ Malpractice detection in online examinations
☐
Personalization of Learning patterns for
individual students
Infusion of ML & AI for the smooth
functioning of mobile applications
AI is at the core of Gyaan and almost all of the features
are powered by AI. Gyaan runs on web and mobile
seamlessly. However, for mobile platforms, the latency
or response time of any of these AI & ML applications
is very important in the smooth functioning of mobile
applications. We target a certain area that dominates the
runtime and tries to replace existing methods with our
own proprietary optimized versions of these machine
learning algorithms. We have a great team of engineers
whohavelargeexperienceinMLalgorithmoptimizations,
and this has been our secret recipe for having so many
ML models in the pipeline.
Views on AI & ML acceptance in India
Whether we realize it or not, AI & ML is being adopted at
large by Indians across geographies. I believe if a product
can help solve a problem well, then people will accept
it. If you see the world around us, surveillance, retail,
shopping, entertainment, deliveries, banking, payments,
and transactions. All of them are powered by AI & ML.
Be it the movies or series recommendations or the social
media feeds we enjoy. Be it the items we buy or the
payment portal we use for purchasing that item, there are
some components in these pipelines which are already
using AI & ML.
Yes, there are a lot of issues concerning data privacy and
security. However, I am sure our leaders are working
towards forming the correct legislation and policies to
counter these challenges.
Year of Founding: 24th July 2020
Founding Members: Sohini Hazra
and Pallab Maji
Funding information:
Bootstrapped
Office Locations: Suite No.874,
39, NGEF Lane, 2nd Floor,
Indiranagar, Bangalore,
Karnataka, India 560 038
Company Strength: 15-20
Website: https://gahanai.com/

22. AI: Replica o
f human?
☐
Human intelligence is God’s gift and artificial
intelligence has been created by humans.
☐ Artificial intelligence deals with building intelligent
machines capable of performing tasks that typically
require human intelligence. Artificial intelligence
intends to create devices that can mimic human
behavior and conduct human-like actions.
☐
Human intelligence is associated with diverse
learning and experience; it does not rely on pre-
processed data, such as those required for AI.
☐ In the future, a robot’s brain will be engineered to be
as close to the human brain as possible.
Artificial intelligence deals with building intelligent
machines capable of performing tasks that typically
require human intelligence. Self-driving cars, Robo-
advisors, Conversational Bots, Email Spam Filters,
and Netflix’s recommendations are some examples of
artificial intelligence. Human intelligence is God’s gift
and has been created by humans. Intelligence, whether
human or artificial, is critical.
Human intelligence is a quality that assists humans in
learning, comprehending, and solving problems with
brilliant ideas, whereas artificial intelligence is something
that mimics human beings based on the information
they receive.
Types of AI
The following are the basic types of AI:
■ Reactive Machines
■ Limited Memory
■ Theory of Mind
■ Self-Awareness
AI in Robots
Over the years, researchers and scientists have worked
tirelessly to create human-clone robots. While they have
22 MAY 2022 SwiftNLift

23. made great success in terms of physical capabilities,
robots’ central control mechanisms or intelligence
remain inferior to human intelligence. Humans adapt
to situations and their surroundings and make decisions
accordingly, whereas robots’ reactions and actions are
pre-programmed data and codes.
Neurorobotics development
With the accelerating application of robots in several
industries around the globe, the need to replicate human
intelligence in robots has increased. They have some
weaknesses, like:
■ Lack of flexible movements
■ Limited intelligence and control over it.
■ Cannot have a natural interaction with humans.
■ Limitations like these have a greater impact on
service robots
As a result, there was a need to make robot intelligence
as close to human intelligence as possible, such as by
mimicking the strategies used by the human brain to
make decisions in daily life and routine.
Neurorobotics is the intersection of neuroscience,
artificial intelligence, and robotics, with biologically
inspired theories tested in controlled environments.
While artificial intelligence aids in the replication of
intelligence through artificial means, neuroscience
is concerned with investigating and comprehending
intelligence and related biological systems.
With the help of neuroscience
Over the years, advances in neuroscience have enabled
the collection of massive amounts of data. The rapidly
evolving field has aided in gaining a better understanding
of how the human brain works. This understanding of
human brain activity is then translated into codes for
robot brains and their operations. Scientists now have
more knowledge and understanding of the human brain.
The human brain, for example, has a meta-controller
that determines how the brain switches between
different activities to perform complex tasks. Another
important example is that of the human pain system.
A robot’s performance can be improved in terms of
efficiency, flexibility, and safety by replicating the brain’s
code for this.
Is it a real replica of human intelligence?
Humans have attempted to acquire intelligence in
machines to facilitate their work. There are robots,
bots, and humanoids that organize with humans from
numerous points of view. These AI-based applications
have a higher speed of execution, higher operational
capacity and accuracy, while likewise profoundly huge in
monotonous positions compared with humans. Human
Intelligence, on the other hand, is associated with diverse
learning and experience.
It does not generally rely on pre-processed data, such as
those required for AI. When compared to the machine’s
equipment and programming foundation, human
memory, its registering power, and the human body
as an element may appear insignificant. However, the
depth and layers of information present in our brain are
far more unpredictable and complex, which machines
cannot beat, at least not anytime soon.
The difference between AI and human intelligence:
☐
Human intelligence is revised to the modern
environment by using cognitive processes and
artificial intelligence intends to create devices that
can mimic human behavior and conduct human-like
actions.
☐ Humans can learn from past experiences and ideas.
The machine can learn through regular training.
☐ Humans use the brain and thinking ability, whereas
AI machines depend on the data provided to them.
☐ Artificial intelligence requires more time to adopt new
changes. Humans can easily adapt and learn things.
☐ AI machines handle more data at a higher speed
compared to humans.
Final note
Artificial intelligence has progressed from science fiction
to reality, and there is no doubt that artificial intelligence
is shaping every industry and propelling the world
forward. However, it is still not possible to precisely
replicate human intelligence. It cannot be ignored that
in the future, a robot’s brain will be engineered to be as
close to the human brain as possible.
- Varada Ukidave
23
MAY 2022 SwiftNLift

26. AI & Machine learning aids
business growth
A
rtificial intelligence has a broad range of
applications in business, including streamlining
job processes and collecting business data. AI
is expected to take digital technology out of the two-
dimensional screen and into the three-dimensional
physical environment surrounding an individual.
Although mainstream society’s acceptance of AI is a new
phenomenon, it is not a new concept.
The modern field of AI was established in 1956. It
took decades of effort to make significant progress
toward developing an AI system and making it a
technological reality.
In business, AI has many uses. Most of us interact with
AI in some of its forms daily. AI enters almost all business
sectors. As AI technology increases, they are becoming
critical to maintaining a competitive edge.
AI and Business
Rather than replacing human intelligence and ingenuity,
artificial intelligence is generally regarded as a
supplementary tool. Although AI is currently incapable
of performing common-sense tasks in the real world, it
is capable of processing and analyzing massive amounts
of data much faster than the human brain. Artificial
intelligence software can then present the human user
with synthesized courses of action. Machine Learning,
Prescriptive analytics, and data science have helped many
companies to solve complex problems and it resulted in
millions of dollars in savings.
AI helps in the following ways:
■ Predictive analysis
■ Data analysis
■ Deep learning
Common uses of AI
Machine learning, cyber security, customer relationship
management, internet searches and personal assistance
are the most common applications of artificial
intelligence.
AI based business growth
AI and machine learning accelerate the business growth
in the following ways:
☐ Machinelearninghelpsbusinessestodevelopsoftware
capable of understanding natural human language.
☐
Businesses use machine learning to enhance the
efficiency of logistics and transportation networks.
☐
Machine learning enables businesses to use
preventative maintenance to decrease equipment
breakdowns and increase profits.
☐
Businesses can use machine learning to create
useful customer profiles, increase sales, and improve
brand loyalty.
26 MAY 2022 SwiftNLift

27. Machine learning is the most important technology for
future businesses. This is because AI-powered software
is already assisting businesses in increasing efficiency,
improving customer relationships, and increasing sales.
According to the International Data Corporation,
spending on machine learning will reach $77.6 billion
by 2022.
Natural language
Software understanding natural language is one of the
most difficult challenges that the tech industry has
faced since its birth. It is being updated, meanwhile
still having some difficulties understanding it. AI-based
programs are capable of learning from past experiences
and mistakes. For example, applications like search
engines and voice-activated assistants are beginning to
understand regular human speech enough to operate
with confidence.
Logistics
The retail and logistics industries are becoming exports
in the data analytics and machine learning field. In
logistics, machine learning helps companies to increase
efficiency in every step of the shipping, storage and sales
process. Machine learning is being used by international
shipping companies to increase profits. Thousands of
components are installed on cargo ships, long-haul
trucks, and smaller equipment by these companies.
This assists managers in identifying breakdown patterns
and developing preventative maintenance schedules to
keep their ships and trucks moving. Retail companies
like Amazon are also leading in the use of machine
learning. Retail companies use machine learning to
increase efficiency in their delivery networks and
anticipate customer needs.
Manufacturing
In a manufacturing company, machine learning helps in
every stage of production. This is because AI-powered
technology can assist businesses in saving money
by streamlining inventory management, increasing
production efficiency, and predicting equipment
breakdowns before they occur.
Consumer data
Businesses have spent decades amassing billions of data
points on their customers, including information such
as purchasing habits, demographic identifiers, income,
and more. AI-powered software is finally allowing these
businesses to make use of this data.
Executives are working with Python software
development firms to create cutting-edge data analytics
software that can collect data and generate useful and
actionable predictions.
An example of this type of use of AI is Netflix. The
online streaming platform uses machine learning to
create extensive viewing profiles that predict which
shows and movies users will be interested in.
Summing up
AI and machine learning are supporting businesses to
increase sales and plan for the future. AI-based software
is also being used to increase efficiency and boost sales
in manufacturing and logistics. Now, development in
natural language is expected to have a significant impact
on consumer devices and businesses alike.
- Varada Ukidave
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MAY 2022 SwiftNLift

30. A
rtificial intelligence and machine learning have
grown into challenging tools by allowing robots
to think and act like humans. AI has attracted
the attention of IT industries all over the globe. A major
technological revolution followed the growth of mobile
and cloud platforms. Scientists have developed software
that uses Darwin’s evolutionary idea of the live survival
of the fittest to construct AI algorithms. It improves
from generation to generation without the need for
human intervention.
History of AI
Even though artificial intelligence has been around for
millennia, its actual potential was unexplored until the
1950s. The potential of AI has been acknowledged by
a generation of scientists, physicists, and intellectuals.
But it was not until Alan Turing, a British polymath
who proposed that people solve problems and make
decisions using available information and reasoning.
The difficulty of computers was a major impediment
to expansion. Before they could expand further, they
needed to adapt fundamentally. Orders can be executed
by machines but not stored. Financing was also an issue
until 1974. Computers had become extremely popular
by 1974. They are now faster, less expensive, and can
store more data.
Research on AI
Research on AI is expanding now. AI research has
increased at a 12.9% annual rate over the last few years.
Europe is the largest and most diverse continent in terms
of artificial intelligence development, with significant
levels of international collaboration. India ranks third
in the world in AI research output, trailing only China
and the United States.
Evolution in AI & Machine
learning
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31. Today’s AI
Currently, AI is used in so many things. It has so much
promise that it is difficult to imagine our future without
AI related to business. AI boosts productivity in many
ways, from workflow management solutions to forecasts
and even in the way companies buy advertisements.
Artificial intelligence aids in the collection of a vast
volume of data. And data is used to find inferences and
estimates. It is beyond the human ability to understand
and do it manually. AI enhances efficiency and lowers
the risk, finding out unusual patterns like spam and
fraud, and alerting institutes and others. AI has grown
in importance and sophistication to the point where
a Japanese investment firm was the first to propose
an AI Board Member in recognition of its ability to
forecast market trends faster than humans. Artificial
intelligence will be and is already being used in many
aspects of life, such as self-driving cars in the coming
years, more accurate weather forecasting, and earlier
health diagnoses.
Future with AI
Some people think that we are at the point of the fourth
industrial revolution, which will be unlike any of the
previous three. Now comes the question of what it
means to be human.
Smart technology in factories and workplaces and
linked equipment that can communicate, view the
entire manufacturing process and make autonomous
decisions are just a few of the ways the Industrial
Revolution. It will improve business.
One of the most significant advantages of the Fourth
Industrial Revolution is its ability to improve the quality
of life and income levels of the world’s population.
As robots, humans, and smart devices work on
enhancing supply chains and warehousing, our
businesses and organizations are becoming “smarter”
and more productive.
Use of AI
AI improves the value of companies in a variety of ways,
helping at different levels in the business process and
finally contributing to an increase in total revenue. Due
to its benefits, AI has been used in many industries like
health care, finance, manufacturing, and others.
Sum up
Noplaceintheearly21stcenturyhashadagreaterimpact
on AI than the workplace. Machine learning techniques
are resulting in previously unseen productivity gains.
AI is changing the way businesses work, from workflow
management to trend forecasting and even how they
buy advertisements. AI research holds so much promise
that it’s difficult to imagine life without it. AI will be
commonplace in everyday life by 2030, whether it’s
self-driving cars, more accurate weather predictions, or
space travel.
- Varada Ukidave
31
MAY 2022 SwiftNLift

34. No sector without
AI & Machine learning
B
usinesses and other sectors undergo digital
transformation. They were facing a problem with
huge data collection, processing, and analysis
of the data. So, there was a need for a tool for all these
operations. That is where artificial intelligence and
machine learning integrate into businesses.
Artificial intelligence
In general, artificial intelligence refers to processes
and algorithms that can simulate human intelligence,
including cognitive functions such as perception,
learning, and problem-solving. AI subsets include
machine learning (ML) and deep learning (DL). Reactive
machines, limited memory, theory of mind and self-
awareness are the four types of artificial intelligence.
Machine learning
Machine learning is a subset of artificial intelligence. A
varietyofdifferentmachinelearningalgorithmsarethere,
with the three primary types being supervised learning,
unsupervised learning, and reinforcement learning.
The Importance of AI and ML
In business, artificial intelligence and machine learning
give a direction to extract value from huge amounts of
data, deliver business insight and much more. AI and
machine learning are capable of transforming all aspects
of business and increasing revenue.
AI and machine learning help businesses in the
following ways:
34 MAY 2022 SwiftNLift

35. ■ It increases consumer satisfaction.
■ It offers differentiated digital services.
■ It optimizes existing business services.
■ It automates the processes in production.
■ It ultimately increases the revenue.
■ AI-based operations reduce the costs.
AI integrated sectors
AI and machine learning are used in almost all
business sectors. The following are examples of AI
integrated sectors.
☐ Healthcare
Ai is used in almost all sectors of the healthcare
industry. The device collects a lot of data, such as,
the sleep pattern of an individual, calories used
by him, and heart rate. It helps in early detection,
personalization, and proper diagnosis & treatment.
When such a device is connected with AI, it easily
monitors abnormal trends in the person. AI also aids
doctors to make precise decisions.
☐ Automobile
The automobile sector is changing from an engine
with chassis around it to a software-controlled
intelligent machine. AI plays a major role in
this sector.
AI plays a great role through robots producing the
initial nuts and bolts of a vehicle or in an autonomous
car using machine learning and vision to securely
make its way through traffic.
☐ Banking and Finance
It is one of the old fields where AI is used. Features
like AI bots, digital payment advisers, and biometric
fraud detection create a wide customer base.
☐ Surveillance
AI-based facial recognition tools are being used for
surveillance and security purposes. Ai empowers the
system to monitor real-time footage and it develops
strong public security.
☐ Social Media
On Instagram, they are using AI to customize
content for the Explore Tab. AI helps with social
media advertising.
☐ Entertainment
With the introduction of online streaming services
such as Netflix and Amazon Prime, the entertainment
industry has become increasingly reliant on user
data. This aids in making recommendations based
on previously viewed content. This is done not only
to provide accurate suggestions but also to create
content that the majority of viewers will enjoy.
☐ Education
AI helps the teacher to monitor the academic,
psychological, mental and physical well-being of
the student.
☐ Space Exploration
AI has helped to discover numerous exoplanets, stars,
galaxies, and more recently, two new planets in our
very own system.
☐ Gaming
In the gaming industry, computer game systems
powered by AI are ushering us into a new era of
immersive gaming experience.
AI is used in video games to generate responsive,
adaptive, or intelligent behaviors in non-player
characters (NPCs), similar to human intelligence.
Instead of machine learning or deciding, it serves to
improve the game-playing experience.
☐ Robotics
Development in AI also increases the efficiency of
robots. AI in robotics enables the robots to learn
the processes and execute the tasks with complete
autonomy, without any human interference. This is
because robots are designed to perform repetitive
tasks with utmost precision and increased speed.
☐ Agriculture
AI use in agriculture is attributed to agriculture robots,
predictive analysis, and soil and crop monitoring. Drones
are also used for spraying insecticides.
Endnote
There are lots of applications of AI in several
domains. No sector or industry is left behind, in this
technological advancement.
- Varada Ukidave
35
MAY 2022 SwiftNLift