Data Intelligence

Overview

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.

Our Vision

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 working on core technologies for advanced data analytics and for turning data into intelligent knowledge that will enable the ability to make inferences. In addition, we are building the world’s best AI development environment so that developers may expedite AI advancement.

Research Topics

We are developing applied Graph ML 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. We are also developing Graph ML techs for an extended user understanding: graph neural networks for analyzing large-scale user location and long-term sequence data.

Moreover, we are actively researching active learning, meta learning and ultimately a new self-supervised AI to better cope with our data which is often insufficient to apply conventional machine learning in terms of number of labeled samples.

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.