Media Source:一点资讯Date: 1 August 2017views:173
In the AI era, how do we really implement scenario-based applications and what should we have to stand out?
As we all know, what is behind artificial intelligence is the drive toward big data and cloud computing. Innovation requires two-wheel drive of algorithms and data. Excellent algorithms can generate ever-greater amounts of valuable data, and in turn that data can promote and improve the algorithms.
Then, there are two problems that cannot be avoided here: innovative AI technology and big-data ecosystem.
GTCOM, a company just five years old, eloquently depicts the beauty of intelligence driven by big data. On July 29, the company launched a number of new applications and the latest technological achievements based on the YeeSight big-data technology ecosystem.
Eric Yu, CEO of GTCOM
Data Equals Value
Big data is more like a comprehensive discipline. Simple data stacking cannot affect the results, because the key is to mine deeper content behind the data. Only by knowing how to analyze the data can one maximize its value.
At the press conference, GTCOM CEO Eric Yu reviewed years of efforts of GTCOM from machine translation to cross-language big data, where GTCOM has turned dreams into realities. From "data map" to "data electrocardiogram" and "technical life curve," Mr. Yu conveyed the beauty of intelligence driven by big data through clear, intuitive data graphs.
GTCOM has remained true to its founding mission while continuing to grow, always forging ahead in the field of cross-language big data. Today, the five-year-old GTCOM has achieved great results in many respects, including big-data collection, governance, analysis, and presentation, and has formed a mature big-data technology ecosystem. At the press conference, Eric Yu also specifically introduced JoveBird, a financial big-data platform launched overseas. The platform intelligently analyzes financial data through hundreds of built-in data models and algorithms as well as unique cross-language text analysis algorithms, and clearly presents the analysis results in the form of "data electrocardiogram," sharing with listed companies, financial institutions and investors the enormous value for decision-making brought about by big data.
GTCOM shifted to the field of big-data analysis from 2015, and formally proposed the concept of cross-language big data. Subsequently, GTCOM launched the YeeSight big-data analysis platform–a cross-language application product, and big-data technologies tailored for a variety of vertical industries, global enterprises and government platforms, setting the core of GTCOM's business model.
The building of GTCOM's big-data ecosystem is inseparable from the huge technical system. In recent years, GTCOM has increased its R&D investment in machine translation and big data, and has achieved an impressive track record of technological research results. At the conference, CTO Cheng Guogen showed the participants the decomposed YeeSight big-data platform including Spider, Governor, Miner, Express, DataMap, and Manager, and released the latest technological achievements of the 2020 Cognitive Intelligence Research Institute, such as neural-network machine translation, multilingual natural-language understanding and semantic search. He stated that the future of big-data development must be open and inclusive. This, he said, is consistent with the original intention of GTCOM, which was to highly integrate its complex technical system and make it available to the entire industry in the form of technological achievements.
Cheng Guogen, CTO of GTCOM
Liang Haoyu, Director of Big Data of GTCOM
The building of the YeeSight big-data technology ecosystem through the world's leading natural-language processing, big-data and artificial intelligence technologies is the core "weapon" for GTCOM to implement its latest brand strategy. At the conference, Big Data Director Liang Haoyu released three big-data applications based on this ecosystem, namely, Insider DI, Insider BUZZ and Insider LITE tailored to different user needs, providing comprehensive, personalized big-data application services for various industries. According to Liang Haoyu, GTCOM will launch more applications in the future to enrich the product matrix of the YeeSight big-data technology ecosystem and provide professional, accurate big-data services tailored to the needs of various fields.
At this conference, GTCOM announced strategic cooperation with the China Academy of Information and Communications Technology (CAICT), The Cover, and the Institute of Acoustics at the Chinese Academy of Sciences. He Baohong, the deputy director of the Technology and Standards Research Institute of CAICT, said in his speech that the two sides will work toward the creation of national-level think tanks to provide professional big-data services for innovation in various industries. Zhou Qi, editor-in-chief of The Cover, also announced that the two sides will conduct data sharing and jointly create innovative news products to promote the development of global intellectual media. Liu Jian, the deputy director of the Institute of Acoustics at the Chinese Academy of Sciences, spoke as a partner that GTCOM provides strong support for speech recognition and cross-language big-data resources.
Adhering to the concept of technology sharing, GTCOM has continuously improved its own competitiveness and extended its reach in the big-data sector. It has extended its big-data and artificial intelligence services to different vertical areas through strategic cooperation with industry giants such as CAICT, The Cover, the Institute of Acoustics, Alibaba and Haier.
GTCOM will therefore seize the initiative of a new round of scientific and technological revolution, comprehensively advance such fields as cross-language big data, language technology and artificial intelligence so as to occupy the pinnacle of the industry and focus on technological innovation. Additionally, GTCOM will explore the development of big-data applications, help China lead the world in the field of big-data applications, promote the intelligent process of society and brighten the era of digital connection.
As of 2017, GTCOM's data-mining capabilities already covered more than 200 countries and 65 languages, and it owned more than two million independent data sources, EB-level global Internet open texts and social data, and knowledge graphs numbering in the hundreds of billions.