Intelligent Data Management Wins The World Love Industry Development Step By Step

< p > as the leading provider of backup and disaster recovery solutions in China, AI has formally put forward intelligent data management strategy in 2012, and has made breakthroughs in medical, health, education, government and enterprises after its in-depth development in 2013. Especially in the construction of large medical information center, AI intelligent data management solution covers user life cycle, solves the disaster relief points of users in medical industry, and helps users achieve data protection under the trend of virtualization.

A municipal hospital in Anhui has become a typical case of data protection under the trend of virtualization.

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< p > < strong > Love number professional road intelligence < a href= "http://www.91se91.com/news/index_c.asp" > Data Management < /a > win world < /strong > /p >

< p > "2013 is a year of love and precipitation.

In the love of several large hospital information center construction symposium held in December 13, 2013, the love of President Hu Hung Fu spoke to Amin.

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< p > perhaps friends in the industry do not know much about the number of love figures in 2013. In the eyes of many media people, the number of love in 2013 is much more quiet than that in 2012. When Amin asked about the performance of love in 2013, He Hongfu made it clear that love number was successfully pformed into intelligent data management strategy in 2013, and was recovered in many industries, including medical, health, government, education, enterprises, and some military secrecy units. In the actual sales and performance development, it will gradually become a new "red flag" in the Chinese storage industry.

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< p > recall the development path of AI number, it is easy to find that in the 06 years, we love to go to the data security market in the form of stand-alone software. In the 09 year, love number was first announced through the love number backup storage cabinet, officially announces the birth of the integrated market, and further cut into the data protection business of various types of users. By 2013, around the development trend of cloud computing and virtualization, AI number itself has also been upgraded from backup disaster recovery to intelligent data management supplier, and its data management scheme is fully blooming in various industries.

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< p > for this reason, in 2013, AI mainly launched the three most focused solutions in various key industries: data management solutions in virtualization environment, data management solutions in BYOD evolution, and data management solutions under cloud computing trends.

It has gained important success in many industries, and has successfully won the idea, product, technology, plan and platform of AI intelligent data management in many important industries.

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< p > 2013, AI number is developing rapidly based on intelligent data management strategy. It also emphasizes cooperation with strategic partners and programme partners.

To this end, in December 2013, AI invited VMware to invite representatives from all over the country to hold seminars on the construction of information centers in large hospitals, sharing the data management in the virtual environment, and jointly exploring new ideas and solutions for information construction in large hospitals under the new situation.

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< p > through the above combing, we can find that the industrial accumulation and breakthroughs of AI in recent years, especially in 2013, laid a good foundation for the intelligent data management solution in 2014.

In He Hongfu's view, the 2013 is to love and practice hard. In the year of boxing, 2014 will go out with more powerful momentum and show the love of the industry.

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< p > it is worth mentioning that the number of R & D personnel in AI company has always been very high among its employees. R & D and products have always been one of the genes of love, and also the pride of AI as a typical technology company.

After years of training on the road of data management, love has its own qualifications for development, self training, internal extension, deep tillage, and intelligent data management.

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< p > < strong > plan refinement industry breakthrough step by step, < /strong > /p >

Lu P, director of the industry of love number, made clear when accepting exclusive interview with Amin. The intelligent data management solution of AI number has accumulated successful cases in many industries, and the value of the scheme has been trusted and praised by many customers.

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< p > Lu Ran's introduction to the overall strategy of the AI industry solutions reveals that AI is moving towards a solution based on IT services.

The concept of IT as a service has been raised by the industry long ago. Why does AI emphasize so much on the value of "IT as a service" in the field of solutions? < /p >

In order to further develop and make breakthroughs in many key industries, P has set up an industry program department in particular, focusing on the mining and development of the niche industry, and training professional key industry consultants, and deep tillage industry, striving to take the perspective of industry experts close to users, helping industry users analyze their challenges in many applications such as data center upgrading, virtualization and deployment, and grasp the specific pain points of data management in the industry users, and integrate AI data management solutions, including data backup disaster tolerance, storage integration advantages and document management advantages, to help industry users acquire new data management value in the process of updating data centers.

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< p > however, there may be some doubt that in China, industry users will be affected by the imbalance of economic development in different regions, the industry's own characteristics and the pition of the application environment. So how can AI adopt the intelligent data management solution to deal with so many variables? Lu ran believes that although the industry users will have such differences, the essence of all users' data management cycles is consistent, and the life cycle of data creation, use, protection, archiving and destruction is stable.

Enterprises need to know the demand of data in different stages when managing data. When paying attention to data backup and archiving, the data's recoverability and usability should also be paid enough attention.

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< p > < --EndFragment-- > in actual cases, the understanding and understanding of data lifecycle management by industry users has been much deeper than before. Love numbers also play a role in market guidance and education.

According to Lu ran analysis, AI provides a comprehensive solution to users' full application in data lifecycle backup, disaster recovery, archiving, recoverable, and application.

In the long term cooperation with industry users, love number has found that users are paying more and more attention to data value. Data has become the assets of users. For different users in different stages of development, the IT overall environment, step by step strategy of love numbers, step by step to provide a gradual, flexible, scalable intelligent data management solution for industry users.

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< p > 2014, < a href= "http://www.91se91.com/news/index_c.asp" > Love number < /a > will continue the deep ploughing industry, establish a more comprehensive industry development support team, train professional consultant team, and further optimize AI data intelligent management scheme, explore new development opportunities in health care, government, party, government, secret, education and other industries.

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< p > < strong > how to solve the disaster relief point of medical and health industry < /strong > < /p >

< p > when discussing the construction of information centers in large hospitals, Jiang Jiang, a consultant in AI medical and health industry, pointed out that with the deepening and application of information technology in hospitals, the information system has become the core of hospitals.

Hospital information system is not only to provide patients with more effective services, but also to improve the overall hospital operation efficiency and avoid medical disputes important safeguard mechanism.

Building a safe and reliable data management system to ensure data security is the top priority of the hospital information center.

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< p > hospitals need to develop a unified emergency plan that can be applied to data loss and application interruption to meet the needs of disaster recovery, while taking account of the safety of medical data and the continuity of hospital business systems.

As mentioned in the first article, AI intelligent data management scheme can effectively cope with the challenges faced by medical and health users.

At this seminar, AI joined hands with internationally renowned IT manufacturer VMware, and a municipal hospital in Anhui Province, sharing the overall disaster recovery plan based on virtualization architecture successfully implemented by the hospital, which played a good role in the construction of large-scale hospital disaster recovery in the new IT environment of cloud computing.

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< p > Jiang Jiang pointed out that in view of the development characteristics of the medical industry, love has targeted the corresponding solutions, such as regional medical, small and medium hospitals and large hospitals. According to the characteristics of the organization, data management solutions have different focuses.

AI has accumulated a considerable number of successful cases in the medical industry. "The successful implementation of the last 500 solutions has also been implemented, including a large number of hospital customers with double live data centers, thus forming an overall solution framework based on intelligent data management."

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< p > in terms of the implementation of hospital virtualization, the deployment of hospital users in the field of virtualization is ahead of other industries. However, a considerable number of users have not yet realized the virtualization of the HIS core business system, only realizing the first step of the non core business system virtualization.

Jiang Jiang points out that as long as the virtualization of the hospital business system is implemented, what they have to do is to backup and recover the data of the virtualization platform, so as to ensure the security and availability of the data.

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< p > Love number for the different development level of virtualization, put forward the pure virtual and non virtualization hybrid architecture disaster recovery plan. For virtual machine management, including fast backup, data redeletion, interface unification, achieve the overall requirement of HIS overall backup. Based on the data recovery of the dual live data center in the virtual environment, and considering the process of the hospital's senior development, we gradually meet the disaster recovery needs of the hospital virtualization.

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< p > further analysis, it is necessary for medical users to backup the whole virtual machine by implementing the virtualization application of HIS core business system.

At the same time, a continuous data protection scheme for virtual machines can recover data quickly when the virtual machine fails.

In addition, the health sector, such as the Health Bureau, is also trying to deploy virtualization. The health bureau is a centralized HIS system. At the same time, the demand for disaster recovery is also very prominent.

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< p > < < a href= > http://www.91se91.com/news/index_c.asp > > cloud computing > /a > application gradually spread and landing. For the cloud center of regional medical care, the important data such as the back-end PACS database and so on all need to be prepared for disaster recovery.

Health reform requires a four level audit mechanism for the platform, which is examined at all levels from the national, provincial, city and regional levels. This also requires interconnection and data visualization.

In this context, it is suitable for TxCloud cloud cabinet products, and centralized backup and unified management for data collection. It is convenient for data management efficiency and data mining value, and reduces operation and maintenance costs.

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In order to meet the needs of users in the medical and health industry, P aims at the trend of user development, caters for its rapid changes, and introduces intelligent data management solutions applicable to users in the changing environment.

At the same time, we should also take into account the development of the less developed areas to adapt to the cloud platform, from south to north, from east to west, to realize the comprehensive, perfect and meticulous value of intelligent data management.

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