Databases are constantly expanding, and they can potentially bring in greater revenue, increase efficiency and reduce operational costs. With the right data, businesses are able to reach their customers on a more personalized level, provided with the proper extraction of relevant insights. Despite things rapidly shifting online, data-driven success is not easy to achieve. Most times, lack of data skills and talents become a barrier for businesses to understand and analyse these valuable data and information.

1. © Abundent Sdn. Bhd., All Rights Reserved
Turn Data to Gold using Data Science
and IoT
Tarun Sukhani

2. Speaker Profile
Tarun Sukhani is the Founder & CTO of Abundent, a Digital Transformation and Big Data
Analytics company based in Malaysia with offices in Singapore, Indonesia, and the USA.
He is a business and IT professional with more than 20 years of experience working in
multinational companies in the US, Europe, Asia, South America, and the Middle East. He
has held a number of different senior development and executive positions including that
of CIO/CTO, director, and board member and is experienced in developing and managing
large IT operations. As a consultant, Tarun was involved in improving business operations
in companies such as Dell, AMD, and Experian, as well as regional conglomerates such as
Indra in Asia Pacific.
Tarun has conducted training as well as facilitated seminars and workshops in Malaysia,
Indonesia, Philippines, Thailand, Singapore and various other Asia Pacific countries,
focusing on project management, consulting, leadership and strategic management,
security, teamwork and other soft skills in addition to Enterprise Computing/Programming,
Software Architecture, Big Data, Data Science, and Machine Learning. He is highly
energetic and has a strong passion for developing people.

3. Data can be analyzed using machine
learning, data analysis, and statistics —
optimizing processes and maximizing
their power in larger scenarios.
Data
3

4. In the last two decades, more than six billion devices have come
online. All those connected "things" (collectively called - The Internet
of Things) generate more than 2.5 quintillion bytes of data daily.
That's enough to fill 57.5 billion 32 GB iPads per day (source
Gartner). All this data is bound to significantly impact many business
processes over the next few years. Thus, the concept of IoT
Analytics (Data Science for IoT) is expected to drive the business
models for IoT.
Overview
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5. Data Science
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6. Data Science Core Components
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7. Data Science Tools
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8. Data Science Workflow Diagram
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9. 9
How will data science change?

10. How Data Science Could Make Data to Gold?
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Big Data
Big data has gone on to become an industry buzzword
used by scientists, governments and businesses across
the world. Referring to exceptionally large data sets that
can be analysed to reveal behavioural trends and
patterns.

11. Big Data
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12. Machine Learning
e.g:
It probably comes as no surprise that YouTube uses
machine learning technology primarily for the creation of
‘recommended videos’.
MACHINE LEARNING AS A DRIVER FOR INCREASING REVENUE.
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13. Netflix has also utilised machine learning to achieve impressive
‘recommendation’ results for its 100 million subscribers
worldwide. By helping customers to quickly and effortlessly find
desirable content, Netflix estimates that they have avoided
more than $1 billion of cancelled subscriptions each year. In
addition, Netflix has also been able to use data derived from its
viewership statistics to commission several pilot episodes to
continue into fully-fledged television series.
Study Case
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14. AI and machine learning make data smarter and more
valuable
The convergence of AI and IoT is creating countless new
opportunities and business outcomes. In manufacturing,
predictive analytics gives production managers the
intelligence to evaluate the trade-offs between building a
new plant, for example, or buying extra capacity as needed.
AI , IoT and Machine Learning
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15. Machine Learning with IoT
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16. “The monetary value of an IoT system increases at
a rate directly proportional to the system’s ability
to enable data scientists to learn from incoming
data and then rapidly operationalize those
learnings.”
IoT
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17. IoT
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18. The Internet of Things plays a vital role in the field of energy
management and regulation. The term used for that is Smart Energy
System. IoT applications monitor a wide variety of energy control
function to residential and commercial use.
IoT Energy
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19. IoT plays a vital role in the Biometrics security system such as a
fingerprint system, voice recognition system, eye scanner system
etc.
IoT Biometrics
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20. Using smart farming through IoT technologies
helps farmer to reduce waste generation and
increase the productivity.
IoT Smart Agriculture
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21. Healthcare devices collect diverse data from a large set
of real-world cases that increases the accuracy and the
size of medical data.
IoT Healthcare
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22. A smart car performs work simultaneously such as navigation,
communication, entertainment, efficient, more reliable travel. IoT
facilitates travelers to remain seamlessly connected to every means
of travel.
IoT Transportation
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23. 23
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