Chapter AI PDF

Data
Stride
Analytics
S H A P I NG T H E FU T U RE BY
DE M Y S T IFYIN G DATA
Product Avenue
Sensor data Evolving systems Scope
Modern industries are implementing
Ineffective analysis of the data
industry 5.0 standards to
Modern devices are equipped with generated due to lack of
enhance communication
many sensors that provide data. understanding, budget and time
between processes and
restrictions etc.
improve efficiency.
Our tool enables clients to partially

This data can be processed
This has led to a rapid rise in the automate this process, reduces the
and analyzed to add value to the
amount of data generated. cost and increases the accessibility
product.
of data analysis.
Product – Sensor data analytics
Problems Solution
• Inefficient implementation of data • Enable subject matter experts to build end
pipeline due to the necessary manual to end solutions.
involvement at every stage. • Minimizing efforts spent on coding for
data scientists with easy and ready to use
• Lack of tools for industry experts to functions and modules for sensor data
explore and implement data analytics analytics.
solutions. • Automate implementation of data
• Increased lead time due to many analytics through readily available solutions
repetitive manual processes involved accessible by just a few clicks.
while building data models. • Convert data analytics from a manual
• Gap between domain experts and data and time consuming process into a quicker
scientists which leads to increased costs. pipeline building tool.
Product overview
Product applications
– Cleaning of data
In just few clicks, processed data

generation with insights about the data
– Filtering data
– Data preprocessing functions
– History of operations
Product
applications
– Noise
elimination
Green curve – The original data with a
lot of sharp edges showing noise and
trash data.
Red curve – Data generated post pre-
processing through application of
simple moving average feature.
Noise and sudden random changes

have been eliminated in the processed
data.
– Data Sampling
Data sampling to identify patterns and larger trends in the data
Sampling rate - 10 Sampling rate - 50

– Visualization of data
– Sample graphs
– Model development
Options to build linear regression and classification models with just
a few clicks are integrated into the tool. Options to build more
models are being integrated.
Sample use cases
Predict the health Perform data Calculate the

Detect anomaly in
of components in a validation & data remaining useful
the recorded data.
given ecosystem. cleaning. life of components.
Sensor design and

Extrapolate to fill in Analyze passenger
Monitor driver performance
the gaps in density in multiple
performance. validation using
recorded data. routes.
current sensor data.
Market opportunity
❖Market size ❖Target industries
❖Value of global data analytics market - ❖Manufacturing industries
$11.8 billion in 2021 ❖Consumer wearable electronics
❖Expected CAGR - 14.5% ❖Healthcare domain
❖Projected value in 2031 - $46 billion. ❖Logistics and supply chain
❖Global companies dedicating 6 to 8% management
of annual budget to data analytics. ❖Aerospace and defense
Potential cost
savings
-Pipeline cost
v Present cost of data analytics
v Average salary – 12 to 15 lpa
(candidate with 3-5 years exp)
v Average size of team – 15 to
20 people
v Average cost of tools and
services: About $ 1000 per
month.
v Hiring and training costs
Potential cost
savings
-Competitor
costs
v Subscription costs
v Competitor cost – About $
5000 per year per user
v Approximately INR 4 lakh per
year per user
v Our potential subscription
charges: Rs 2.5 Lakh per year
v Training and support cost
v Potential savings – More than INR 50
lakhs per year
Journey So far
DEVELOPED THE FRAMEWORK, BUILT THE MVP OF THE PRODUCT STREAMLIT IS AN OPEN SOURCE IMPLEMENTED FUNCTIONALITIES IN
FEATURES AND KPIS FOR THE USING STREAMLIT. PYTHON BASED FRAMEWORK FOR PYTHON, AWAITING INTEGRATION
VERSION 1 OF THE PRODUCT. MACHINE LEARNING WITH PRODUCT UI.
APPLICATIONS.
Due to streamlit limitations, its not
interactive or scalable and lacks lot
of web UI elements.
Hence, we are looking to migrate

the framework to a more robust
Journey
and market tested UI environment. Ahead
We are looking to collaborate with
developers with expertise on UI
development frameworks like Anvil,
React, Angular JS etc.
Thank you

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Data

Our tool enables clients to partially

In just few clicks, processed data

Noise and sudden random changes

Sampling rate - 10 Sampling rate - 50

Predict the health Perform data Calculate the

Sensor design and

Hence, we are looking to migrate

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