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Integrating Machine Learning
Initiatives in Business Strategy
for Small Companies
Linda Liu
Data Analytics & Data Science
Agenda
● Why Machine Learning
● Spotlight on Small Companies
● Challenges Met
● Solutions Implemented
● Conclusions
HYRE
NASDAQ
Why Machine Learning
Source: https://dailymanna.blog/
HYRE
NASDAQ
Spotlight on Small Companies
HYRE
NASDAQ
Challenges Met
Data quality and completeness
● Machine learning models cannot
distinguish between good data and
insufficient data.
● Lack of quality data can
significantly limit model
performance.
HYRE
NASDAQ
Challenges Met - cont’d
Time-consuming model
development and deployment
● Complexity from planning to
execution with multiple layers.
● Focus on experimentative
approach.
HYRE
NASDAQ
Challenges Met - cont’d
End user disconnect
● Unfamiliarity with machine
learning products.
● Gap between data scientists and
business users.
HYRE
NASDAQ
Solutions Implemented - Cultivate a Data-driven Culture
Cultivate a data-driven culture
● Facilitate data awareness and
discipline.
● Demystify data-driven decision-
making across organization
HYRE
NASDAQ
Solutions Implemented - Focus on Data Quality
Focus on data quality
● Incorporate human element in
data analysis.
● Thorough review of data for
correctness, completeness, etc.
HYRE
NASDAQ
Solutions Implemented - Secret Sauce to Enhance Quality
Secret sauce to enhance data quality
● Public dataset - traffic, weather, neighborhood
● Enriched data
● Telematics data
HYRE
NASDAQ
Solutions Implemented - Adopt Pre-trained Solutions
Source: https://upsplash.com
&
Adopt pre-trained solution in combination with in-house solutions.
HYRE
NASDAQ
Conclusions
Source: https://undraw.com
Small companies can benefit just as much from ML and
AI as bigger companies!
Thank You
linda@hyrecar.com
https://www.linkedin.com/in/lindachenliu/

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