Samsung is a South Korean multinomial conglomerate. It is known for its midrange and flagship smartphone collection worldwide. There are many ways how Samsung uses Data Science and Machine Learning techniques in its technology and business. So, if you want to know how Samsung uses Data Science, this article is for you. In this article, I will introduce how Samsung uses Data Science for its business.
Here’s How Samsung Uses Data Science
Here are some ways how Samsung uses Data Science in its technology and business.
Knowledge Graphs to Understand Relationships
A knowledge graph is a data structure representing information as nodes and edges in a graphical format. The nodes and edges of a knowledge graph are annotated with semantic metadata allowing one to interpret the meaning of the knowledge graph.
Samsung uses knowledge graphs to build more intelligent and connected data products. Using knowledge graphs, Samsung brings together disparate data sources and links related pieces of data that provide a unified framework for data integration and analysis.
It helps Samsung better understand the relationships between products, customers, and market trends.
Audience Targeting
Using Machine Learning models for audience targeting helps understand and reach the target audience by leveraging data and Machine Learning algorithms to predict the behaviour, preferences, and interests of the customers.
Samsung uses Machine Learning algorithms and the data generated by their users to identify hidden relationships between the users and their devices. It helps Samsung integrate and analyze data from various sources, including social media, demographic information, and purchasing patterns, to group customers accurately to find the most relevant audience for advertising campaigns and offers.
Data-Driven Decisions
Data-driven decisions mean using data and Machine Learning algorithms to inform and optimize decision-making to solve various business problems.
Samsung uses data and algorithms to make data-driven decisions to optimize its supply chain process by using data about product demand, inventory levels, and shipping processes to make better decisions on product ordering, warehousing and distribution.
Summary
So below are some ways how Samsung uses Data Science in its technology and business:
- Samsung uses knowledge graphs to build more intelligent and connected data products. Using knowledge graphs, Samsung brings together disparate data sources and links related pieces of data that provide a unified framework for data integration and analysis.
- Samsung uses Machine Learning algorithms and the data generated by their users to identify hidden relationships between the users and their devices.
- Samsung uses data and algorithms to make data-driven decisions to optimize its supply chain process by using data about product demand, inventory levels, and shipping processes to make better decisions on product ordering, warehousing and distribution.
I hope you liked this article on how Samsung use Data Science in its technology and business. Feel free to ask valuable questions in the comments section below.
