On June 29, Alibaba announced the establishment of a subsidiary company, Lingyang Intelligent Service Company, focusing on enterprise digital intelligence services. Lingyang means "digital leader" and will provide enterprises with comprehensive digital growth capabilities through

html On June 29, Alibaba announced the establishment of a subsidiary company focusing on enterprise digital intelligence services - Lingyang Intelligent Service Company. Lingyang means "digital leader" and will provide enterprises with comprehensive digital growth capabilities through leading, agile, and comprehensive digital intelligence products and services.

"The launch of Lingyang is an important step taken by Alibaba Group after long-term consideration." Zhang Yong, chairman and CEO of Alibaba, said that future companies will be data-driven in a broad sense, and comprehensive digital construction is Consensus from all walks of life.

Lingyang assumes the important task of transforming the digital capabilities accumulated by Alibaba Group in consumption and other fields into intelligent products and services. It hopes to form a DaaS service (Data intelligence as a Service) for thousands of industries through the construction of leading technical capabilities. Serve).

At the Lingyang Intelligent Service Brand Conference, Alibaba Group Chief Technology Officer Cheng Li delivered a speech titled "Lingyang, from Alibaba's best practices to social services". The following is the content of the speech:

Alibaba and Thousands of companies shoulder the same mission together - how to build new businesses driven by data intelligence in the new digital era. To realize this mission, we need to use new technologies to create new tools, we need to use new tools to start new businesses, we need entrepreneurial spirit, and we also need vision and hard work.

Taking the opportunity of the Lingyang press conference, I would like to share with you some key events and thoughts on Alibaba’s construction of digital intelligence business.

01

First is data. Data is the basic element in the new world of digital business. Everything starts with data. Recognizing the importance of data and starting to build a unified platform for data processing is a key step for Alibaba to lead to digital intelligence business.

The construction of Alibaba’s data platform can be traced back to more than 10 years ago. At that time, Alibaba made a major decision to use the Feitian big data computing platform as a unified engine for data processing to eliminate bottlenecks in the growth of data scale and calculation volume. Over the past ten years, from data platform construction to large-scale business migration, data center has helped Alibaba realize the construction of group data assets and build a data asset system with "reliable quality, safety and stability, economical production, and convenient consumption". also accumulates data technology and product capabilities, which can help digitize business to data business, release the dividends of data and organizations, drive business growth, and improve user experience.

Take 88VIP as an example. This is an innovative application based on the data center. It opens up the membership rights of various businesses of the group and can help the same user using multiple businesses to obtain the rights of "one-stop food, drink, play and entertainment". Currently, Taobao The total number of members of Mao 88 VIP and money-saving monthly cards has exceeded 50 million.

Since 2017, more and more customers have come to us, hoping to cooperate with Alibaba to apply this set of capabilities. This has also promoted us to move the data center from within Alibaba to the cloud, turning it into a data center on the cloud. A capability that is open to millions of companies. Through the data middle platform, enterprises can accumulate the data assets of enterprises and users more efficiently and compliantly, promote the operation of global consumers and the full life cycle management of products, and achieve the solution of business problems and the continuous growth of performance.

P&G integrates Tmall's multi-brand and multi-store operating results data, and P&G's own category system and analysis framework, and builds the analysis capabilities of traffic sources, store live broadcasts, and searches for some brands private domain to help 618 big promotion to improve business efficiency.

Jialan Group is the first beauty company to build a "data middle platform". As the scale of the company continues to grow, Jialan hopes to make the current core business data as comprehensive as possible online to facilitate the interaction between different scenarios and different channels. Call and deploy efficiently.By building a data middle platform, Jialan has opened up order, sales, logistics and other data from various channels, and realized the "one-plate goods" model of omni-channel inventory sharing, unified deployment and visual operation.

02

In the second part, I would like to share with you another fulcrum of digital intelligence business, the business center.

With the continuous development of Alibaba's business, e-commerce has begun to have different systems such as B2B, Taobao, Tmall , etc., and the business form has also expanded from online to offline retail, and from local to international. What was once Taobao has evolved into dozens of divisions and companies and hundreds of businesses, and the complexity has increased dramatically.

Each business line is building various capabilities from 0 to 1 and gradually growing; but from Alibaba's overall perspective, there are both problems of duplication of construction and problems of increased complexity. In order to solve these problems and help our business adapt to the rapidly changing business environment, we began to build a business middle platform.

Business middle platform, in one sentence, is to establish a reusable business capability center for the enterprise. Through unremitting efforts, we have completed the abstraction and precipitation of key capabilities such as users, merchandise, marketing, transactions, payment, fulfillment, and supply chain, and finally formed a series of capability standards, operating mechanism , business analysis methods, and product tools. Together they form the business center system. On the one hand, it provides multiple front-end businesses with the ability to be taken and used at any time. On the other hand, it enables many business systems to be interconnected and helps each business party to innovate quickly and at low cost.

The business center plays a huge role within Alibaba. To give an intuitive example, a new business requirement took about 30 days from proposal to launch in 2017. Now the average delivery time has dropped to 12 days.

With the successful internal application of the business middle platform, we also began to think about whether we can use the business middle platform to help our enterprise customers. Based on the Alibaba Cloud platform, we have built business middle-end products for enterprises, including core business capabilities such as digitalization of stores and other areas, online and offline multi-channel sales, and fulfillment of contracts on one pallet. We have received good feedback. feedback.

As for our enterprise customers, by applying such a set of products, the time to launch new business has been greatly shortened, and the user acquisition and conversion effects have been improved. There are also leading brands that, based on our omni-channel products, have built online management of the core business process of "sales planning-inventory-sales-performance-settlement", which has improved the execution efficiency of overall channel sales and reduced the revision rate. Improved customer satisfaction.

03

The third fulcrum, I think, is the intelligent engine, which is based on big data and AI technology to provide continuous power for business growth. The

intelligent engine is derived from Alibaba's search, recommendation and advertising technology and has been sprouting since the establishment of Alibaba. In 2013, Alibaba search technology completed the construction of a platform, and in 2015, a recommendation center was established to support the rapid development of information flow recommendations; in 2016, we fully entered the era of deep learning. The widespread application of

AI technology has completely reconstructed traditional search, recommendation, and advertising technologies. The biggest change is personalization. We can more efficiently assist users in decision-making, improve user experience, and promote business growth.

intelligent engine mid-end supports the search, recommendation, and advertising services within Alibaba Group and on Alibaba Cloud. By constantly pursuing the ultimate in performance and efficiency, it has helped the rapid growth of the front-end business. We have also put SaaS-based search recommendation products on Alibaba Cloud, which can help a large number of enterprise customers achieve business growth at a low cost.

For example, Pumpkin Movie, a domestic company that operates long and short videos, uses intelligent recommendation products, enriches movie tags, improves the accuracy of recommendations, and greatly improves the recommendation effect.By opening multiple sections such as Guess What You Like and Interesting Floors, users’ viewing time was increased by more than 20% and user conversions were increased.

04

If data, business, and intelligent middle platform are the three fulcrums of digital intelligence business, then the cloud is the root of digital intelligence business, and only when the roots are deep can the leaves flourish. From cloud to cloud native, making good use of the cloud will be the core competency of future enterprises.

As a full-time online digital infrastructure, the cloud naturally has the advantage of spanning physical time and space. Based on the cloud, enterprises can connect more relevant parties online to form a symbiotic network. When running, a large amount of business data will be generated. Further achieving intelligence through algorithm driving provides greater possibilities for digital business innovation.

Alibaba, we are not only a provider of cloud computing services, but also a pioneer in using the cloud. We started building a cloud computing platform in 2009, and the small and micro enterprise loan business at that time grew together with the cloud. Later, Alibaba's business system developed side by side with the cloud, and together we withstood Double 11 again and again. Continuously transform the technological advancement of the cloud into business efficiency and customer experience; by 2019, Alibaba's core systems will have been fully migrated to the cloud; in the past two years, we have continued to further fully cloud-native on the one hand, and While forming Alibaba's best practices for using the cloud, we will also turn the best practices into products and solutions, further allowing our enterprise customers and partners to make good use of the cloud.

Taking Yuanqi Forest Group as an example, with the rapid development of business, how to hear the real voices of consumers in different channels and optimize the consumer experience has become an urgent problem to be solved. Therefore, Alibaba Cloud helped Yuanqi Forest build a consumer voice and experience monitoring platform on the cloud, allowing enterprises to hear the operational feedback of various e-commerce platforms in real time and quickly optimize. Through omni-channel membership, Beihai Ranch, a subsidiary of Yuanqi Forest, has unified the identities of consumers across different e-commerce channels and optimized the consistency of consumers’ rights and interests across different channels.

The list goes on and on. Today, with the digital economy and becoming more and more advanced, the cloud has long been more than just a computing resource, but the beginning of a new strategy and a digitally native business.

05

Looking back on Alibaba’s more than 20 years of growth, there have been twists and turns and hardships, and a lot of valuable experience has been accumulated. These accumulated methodologies and product tools have become open social services, used by a large number of corporate customers, and are contributing to the digitalization of Chinese business. But at the same time, we also see that with the advancement of enterprise digital intelligence , point-like and scattered enabling services can no longer meet this era of rapid change. Enterprises need more systematic capabilities and overall solutions. .

Therefore, we integrated Alibaba’s many years of technical capabilities and products and launched the Lianyang brand. We hope that as a new generation of digital intelligence business DaaS platform, it can grow together with enterprises and jointly create the future of digital intelligence business.

More information

The epidemic has accelerated the process of digital transformation of enterprises. However, many enterprises have a weak digital foundation and still face problems such as scattered internal data and inability to use or use data poorly. Especially now, enterprises generally have the need for multi-platform operations, multi-warehouse deployment, and multi-channel access. It is urgent to help enterprises form core digital assets and create greater value through data drive while ensuring data compliance and security management. challenges.

According to Peng Xinyu, vice president of Alibaba Group and CEO of Lingyang, the digital construction of enterprises faces three difficulties: "It is difficult to locate the problem", just like when seeing a doctor, experts are required to conduct physical examination and consultation; "It is difficult to solve", because many symptoms require a combination of medications. Some medicines are not easy to buy; "sustainable operation is difficult", and rehabilitation therapist will need to continue to accompany and supervise them in the future. These cannot be achieved by using the previous system, changing tools, and solving local problems.Enterprises need systematic digital consulting, products and accompanying services. What Lingyang wants to do is "not SaaS, but DaSS". Its essence is to use data-driven growth as the engine to open up and integrate the business flow, data flow and workflow of the enterprise, so that data intelligence can maximize the value of the enterprise's production and operation. .

Currently, Lingyang has five major product matrices: Analysis Cloud, Marketing Cloud, Production and Sales Cloud, Customer Service Cloud, and Development Cloud, including nine core products such as Dataphin, Bizphin, Quick Audience, Quick BI, Business Consultant, and Operation Consultant.