Shulou(Shulou.com)06/03 Report--

Aishu company is new.

At the end of 2019, Aishu launched a new brand image: AISHU at the Multimodal data Intelligence Summit with the theme of "data Intelligence". The new brand image is naturally associated with artificial intelligence (AI) and data (SHU). He Hongfu, president of Aisu, said: "Aisu has driven this brand switch in the process of accelerating to the global market, and the new brand Logo has injected new connotations: for a more intelligent future."

In fact, if you lengthen the timeline and review the dynamics of Aishu in the past few years, you will find that after the three-year strategic preparation period from 2016 to 2018, 2019 can be regarded as the first year of Aisu's all-round big data infrastructure strategy. Aisu is committed to building the big data infrastructure of multimodal data intelligence through the four product portfolios of AnyBackup, AnyShare, AnyRobot and AnyDATA, and makes every effort to promote big data's infrastructure strategy to the ground from the product, technology and even business model dimensions.

With the advent of the new Aisu brand at the end of the year, it not only means the perfect end of 2019, but also marks a new journey.

What does it mean to go from EISOO to AISHU

"Aishu is a company that is not surprising in keeping its integrity." That's what he Hongfu said.

In fact, he Hongfu's point of view is easy to understand. Reviewing the development history of Aisu for more than a decade, it has always focused on data, from backup and data management in the past to log analysis and proprietary data cloud later. The general direction of Aisu's whole company is closely linked with data.

So what does it mean for Aisu to switch from EISOO to AISHU?

He Hongfu, President of Aisu Company

From the author's point of view, love number mainly wants to convey the meaning of three levels:

First of all, the brand transmission of the intelligent era is accelerating, while the role and significance of data and its value will become increasingly prominent. Aisu's own business will continue to focus on data and its value, and will continue to "keep" the data path.

Secondly, Aisu will accelerate the process of globalization and internationalization, and the new brand will make it easier for global users and partners to understand and remember. As a matter of fact, the pace of internationalization has indeed accelerated in recent years, including the artificial Intelligence Research Center, which specializes in multimodal machine intelligence in cooperation with the University of Hamburg, and the expansion of markets in Southeast Asia, Europe, the Americas, and so on. He Hongfu said: "I hope that in the new journey towards globalization, the new brand will be easier to impress everyone."

Finally, Aishu reveals that the new brand can carry a new connotation, that is, focusing on artificial intelligence technology to solve the various challenges of data in the intelligent era, from single-modal data analysis to multimodal data intelligence. Aisu will have more exploration on the combination of artificial intelligence technology and data value in the future.

As he Hongfu said, "'Let technology drive social progress' has always been a digital technology dream. As a technology company from China, on the new journey of AISHU brand, Aisu will carry this technology dream with multimodal data intelligence and sail to the global market."

What is needed from single-modal data analysis to multimodal data intelligence

If in the era of BI (Business Intelligence), the analysis and mining of data value is mainly obtained through the analysis of structured data, then in the era of intelligence, data and its value have undergone earth-shaking changes, which are mainly reflected in: data massification, data diversification, how to maximize data value and data compliance.

The reason for this is the rapid development of ICT technologies such as 5G, Internet of things, artificial intelligence, big data, cloud computing and so on, and technology integration is significantly reflected in a variety of application scenarios. For example, 5G technology is officially commercial, which brings the characteristics of large bandwidth, high transmission and low delay, driving the rise of applications such as autopilot, industrial Internet of things and so on.

As Aishu said, multimodal data intelligence is a reflection of human intelligence. Computers acquire and analyze information through multimodal data, just as human beings perceive the world through five senses. The huge amount of data from various modes converge into the data lake, which is the energy of the intelligent era.

So, from single-modal simple data analysis to multi-modal data intelligence, what do users need?

Aisu gives its answer: big data infrastructure for multimodal data intelligence. Aisu launched a new multimodal data intelligent architecture: data lake architecture, data bus architecture, multimodal data knowledge graph architecture. Love uses the data bus architecture to realize the integration of data collection and application, uses the data lake architecture to realize the data storage, and uses the multi-modal data knowledge graph architecture to connect all the data to form insight.

At the same time, Aisha adopts a divide-and-conquer approach and has launched four product portfolios: AnyBackup disaster recovery Cloud, AnyShare Intelligent content Cloud, AnyRobot Log Cloud and AnyDATA Insight Cloud, all of which are built on Aisha's artificial intelligence engine "Aladdin", thus helping users to build a big data infrastructure for multimodal data intelligence.

Among them, AnyBackup disaster recovery cloud provides structured data disaster recovery service, AnyShare intelligent content cloud provides unstructured data content management, AnyRobot log cloud provides log data management and analysis, and AnyDATA insight cloud provides multi-modal data knowledge graph.

"big data infrastructure is the base of the fourth platform, which can carry 5G, AIoT, machine intelligence, AR/VR and other applications in the intelligent era." "Rome was not built in a day," he Hongfu said. "the big data infrastructure of multimodal data intelligence still has a long way to go, and Aisu still has a lot of work to improve. A major focus in the future is to create a multimodal data knowledge graph AnyDATA insight cloud."

In addition, Aisu has made further efforts in the intelligent ecology of multimodal data, working closely with Huawei Kunpeng Ecology to launch the Kunpeng all-in-one machine of three major products, and has also carried out strategic cooperation with Zhongxin Tianjin Eco-City. the multi-modal knowledge graph is used to construct the urban knowledge graph for the eco-city to improve the intelligent level of the eco-city.

Dream of the Future: invisible Champion

"Aisu's new mission is to create an invisible champion from China and belongs to the world in the field of basic software." That's what he Hongfu said.

The so-called invisible champion, as the name implies: low-key, little-known, but ranked first. As early as 1986, management guru Herd Simon formally put forward the famous concept of "invisible champion". "invisible champions" were later described as companies that were not well known to the general public but were in a leading position in a segment.

If you look back at the past two decades, you will find that China has no shortage of Internet-style growth miracles, but it is difficult to find invisible champions who are willing to be lonely. It is particularly difficult to be a low-key, unknown invisible champion in the Chinese market, especially in the field of basic software. In the field of basic software innovation, growth and breakthrough has never been a shortcut, can not make fast money, must be filled one step at a time, one hole after another, in order to truly become competitive.

Specific to big data infrastructure, this is a new field in the field of basic software, especially a variety of new applications and requirements will be born in the future driven by 5G and AI technologies. Big data infrastructure still has many unknown challenges, which is like a continuous optimization and spiraling process, which often requires big data infrastructure manufacturers to have a more macro perspective and constantly integrate new technologies. To continue to solve the challenges posed by the data.

Noel Tichy, an American management guru and a professor at the University of Michigan Business School, proposed that corporate genes determine the shape, development and variation of an enterprise. There is no doubt that technology is the gene that loves numbers, and this gene will guide it to have a broader space in the stage of big data infrastructure.

The future has just begun, and love can bear loneliness.

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