Data Intelligence

Overview

Artificial Intelligence

The importance and value of data are growing nowadays and are 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, manufacture, customer relations, enterprise resource planning, and human resources.

Samsung Research aims to develop advanced data intelligence technologies, turning massive data into actionable insights 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 making deductions. In addition, we are building the world’s best AI development environment so that developers may expedite AI development.

Technology to Turn Ordinary Data into Intelligent Data and Make Deductions

Samsung Research is developing key technologies to solve the problems of lack of data and the difficulty of explaining AI learning, which are representative serious problems of data analyses based on machine learning. Moreover, we are building knowledge graphs using various heterogeneous data and researching technologies for large-capacity, high-speed reasoning. Our goals are to secure the technologies that would enable machines to make inferences like a human being and to apply them to different AI products and services.

The demand for data analyses is growing now more than ever. However, there are only a few experts who can properly analyze the vast amount of data. To solve this problem, Samsung Research is researching technology for the overall automation of data analytics and the technology necessary for data analyses. In particular, we are developing an algorithm and tools for more efficient automated analyses based on our previous experiences in analyzing data. This would help in creating an environment for easier and faster data analyses and for the development of differentiated products and services.

Automatic Data Analytics Technologies

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 to 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: predictive maintenance, supply channel optimization, hedging strategies for fluctuating raw material costs, and anomaly detection.