Changes in data recognition & technology paradigm
A sudden increase in the amount of data that began around 2010 is requiring new technologies for storing and processing the large scale data,thus the term ‘big data’ has appeared.
Big data refers to a large collection of data or a technology that can store, transmit and process it. As the age of the Fourth Industrial Revolution approached, a paradigm shift is under way into ‘Data Economy’ in which data plays a role of catalyst for the development of all industries and creation of new values. Developed countries are striving to achieve rebound and innovative development of their flagship industries by combining AI and big data for sustainable growth of the countries and their job creation.
Recently, AI technology has gained attention as a new technology leading data innovation, and is replacing the role of data scientists with its power to preprocess data and generate problem-solving logic from training data. As AI technology evolves rapidly, data and technology are being integrated to foster intelligence, a new paradigm inflection point has appeared, and induce changes in economic systems and social structures, thus a new paradigm of the new intelligence information society is being established.
< Paradigm changes in intelligence information society >
Insight on product innovation based on market changes
Saltlux has established a systematic roadmap for technological development since its inception through insightful prior prediction of technological developments, and has secured unique AI technologies including natural language processing, semantics, and reasoning. Beyond the semantic search and text mining, It had been creating smart data products and platforms with exceptional performance and functionality which combined big data-based machine learning, deep learning, and knowledge graph-based reasoning.
Based on the value chain of the data ecosystem (data collection, storage, distribution and utilization) which will lead the intelligence information society, and not only the traditional data analysis, it has introduced Bigdata Suite which could support problem solving in experts level, and data-driven decision making by learning itself, accumulate knowledge from the data which could create economic values (new products, services, jobs, etc.) through the supply brokerage-demand market.
As an End-to-End One stop intelligent real-time big data analysis integration platform which could contribute to the data economy and data science in the era of the Fourth Industrial Revolution, the Bigdata Suite is constantly achieving a growth in products through a systematic development management process. It maintains product quality and reliable validation with a delivery history to various public institutions, companies and research institutes in domestic and overseas. It is securing the reliability through quality validation and strict product management system.
Saltlux Bigdata Suite offers the following 6 engines.
Bigdata Suite provides excellent performance and analysis quality for convergence analysis of structured and non-structured big data. Not only semantic search/analysis, intellectualization o enterprise and public big data, we are also providing real-time analysis and prediction functions for streaming big data, such as IoT sensors, production, and operating system logs through platforms. Bigdata Suite is an ideal platform for data-based smart data and realization of the next-generation IT systems which include establishments of future IoT service intelligence and operational intelligence.
< Bigdata Suite concept map >
Saltlux is comprised of the best platform to cover the entire Big Data Analytics Value Chain which ranges from collecting, converting, analyzing, visualizing big data, and decision making support, as shown in the following figure. As a product of integrating key foundational technologies such as natural language processing (NLP), artificial intelligence technology, machine learning, machine learning, deep learning, inference technology, and distributed parallel processing, it provides users with a step-by-step engine that spans the entire big data lifecycle and a variety of analytics and visualization capabilities. Additionally, it can also be flexibly combined with the big data platform that consists of the existing Hadoop Eco System to build an optimal intelligent big data analysis platform. It can integrate various engine modules that make up the Opensource HADOOP ECO System, such as SPARK, an in-memory map reduction engine, STORM for processing real-time stream data, and UIMA framework. Also, it is also possible to realize all functions such as collection, storage, search, parallel/dispersion analysis and visualization of real-time data with supersized capacity in a single integrated platform, and support powerful Scale-out and Scale-up capacity.
< Bigdata Suite block diagram >
Bigdata Suite combines a variety of artificial intelligence technologies, including natural language processing, machine learning, and deep learning, with highly efficient distributed parallel big data processing technology. In addition, it provides the big data life cycle features ranging from collection, conversion storage, analysis to visualization operative management of real-time data collection, as shown in [Table #]. It provides unmatched reliability and availability for intelligent big data analysis, as well as a variety of powerful and differentiated intelligent analysis features and high quality analysis results for users.
Those engines which reflect the key technologies that make up the Bigdata Suite product, an intelligent real-time big data analytics integration platform, are manufactured in such a way that could effectively handle the data that traditional technologies and methods have difficulty handling in terms of size, variety, speed, and value. They are cost-effective in processing, analyzing, and presenting data. They could establish economic values (new products, services, jobs, etc.) through the data-driven market based on the value chain of the data ecosystem (collection, storage, distribution, and utilization of data) for users.
Intelligent Real-Time Big Data Analytics Integration Platform Bigdata Suite products are manufactured, for the first time in Korea with artificial intelligence technology (deep learning) and big data technology (machine learning) integrated. Bigdata Suite is an AI-based End-to-End One-stop real-time big data analytics integration platform that could carry out intelligent big data analysis in all industries without integration of the Hadoop ecosystem.