Data Intelligence


Artificial Intelligence

The importance and value of data is growing nowadays and recognized as driving forces of innovation and competitiveness in diverse industrial fields. As data generation is explosively gaining speed, the amount of data is also rapidly augmenting. However, it is not the large amount of data itself that leads to innovation, but the technology that enables using the data meaningfully.

As Samsung Electronics operates within a wide range of business portfolios, there is a need to handle data from many sources: mobile apps, mobile devices, consumer electronics, marketing, logistics, manufacturing, customer relations, enterprise resource planning, and human resources.

Samsung Research aims to develop advanced data intelligence technologies, turning massive data into actionable insights and excellent user experiences, to provide more meaningful user values. Our employees wear many hats—we are coders, mathematicians, scientists, researchers, consultants, and innovators. We push the boundaries of technology to enable “data-driven” decisions and accelerate innovations

Thus, Samsung Research is researching core technologies for automated upgraded data analyses and for turning ordinary data into intelligent data that will enable the ability to make deductions. In addition, we are building the world’s best AI development environment so that developers may expedite AI advancement.

Technology to Turn Ordinary Data into Intelligent Data and Make Deductions

Samsung Research is also developing key technologies to solve the problem of a lack of labeled data and the difficulty of explaining analyses results, including causality, which are representative problems of data analyses based on machine learning. Considering the characteristics of our data, we are interested in multi-modal data analysis focused on time-series data. Our goal is to discover latent patterns (including anomalies) from mostly unlabeled data to innovate our products and services by enhancing user experience.

Moreover, we are developing applied Graph AI technologies to learn deeper insight from highly inter-connected data (i.e. user-device graphs including knowledge, contents/Ads) and dynamically predict users’ characteristics and behaviors in service business, at improved accuracy, to deliver extremely targeted service. This will also enable an innovative way of analyzing Samsung’s corporate-wide heterogeneous data about each user within a single scalable, integrated deep learning framework.

Automatic Data Analytics Technologies

A top-class AI development environment needs an integrated and advanced system for data acquisition, processing, searching and sharing. Samsung Research is thus developing solutions for high-quality data acquisition, massive data discovery, storage and processing. Building on the latest cloud technology, we are researching technologies for autonomous and scalable deep learning. Ultimately, our goal is to spread our AI platform to all developers and build an ecosystem that will enable them to collaborate and share experiences that they can grow themselves.

Technologies for Data Acquisition, Processing and Infrastructure

Samsung Research also assists other data scientists at Samsung. We bring new ideas and technical expertise to solve some of Samsung’s most challenging problems: customer data-driven marketing, supply channel optimization and anomaly detection.