Platform support, talent collaboration, and the value of data discovery
We learned that the “Data Science Collaborative Platform” and Whale Technology have received millions of dollars in Series A financing. This round of investment was led by Morningside Capital, and the PreA round of investor linear capital cast.
and Whale Technology (operating as “Shanghai Hejin Information Technology Co., Ltd.”), established in March 2015, was founded in the beginning of the data science segment, is a “collaborative platform” “As a core data science vendor.” Currently, the core product of Whale Technology is the Data Science Collaboration Platform (K-Lab), in addition to the Data Talent Community (and the Whale Community).
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Data Science Collaboration Platform
and Whale Technology’s Data Science Collaboration Platform (K-Lab) is aimed at professional data people with the aim of solving the problems of inefficiency and cooperation due to fragmentation of data science tools.
In the specific construction process, Whale Technology first opened the data chain and infrastructure, mainly to solve the problem of fragmentation of the tool chain of data science. On this basis, K-Lab integrates data invocation, power scheduling, data processing, report design, and model development to help data analysts improve their work efficiency.
Another role of K-Lab is to achieve the synergy between business and data talents by increasing the participation of business talents. Through K-Lab, business professionals can see and participate in the entire process of data work. Throughout the life cycle, we see how work results are transferred, shared, interacted, and integrated at different stages. In this way, data talents and business talents can interact with K-Lab to analyze data insights, iterate data models, and form data.Intelligent closed loop. Through this collaborative approach, K-Lab helps companies unleash the business value of data resources and improve their ability to use data.
After more than three years of product iteration, K-Lab, the core product of Whale Technology, has obtained a number of institutional clients from Tsinghua, Nankai, Tongji, Chinese Academy of Medical Sciences, China Telecom, China UnionPay, and China Electronics. trust. K-Lab’s product sales revenue has increased more than threefold in the past year.
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Linking the Data Science Talent Community
In 2015, and the whale was founded, it established the Whale Community (Kesci.com), a professional community of data scientists. With the support of K-Lab, the Whale Community not only enables real-time collaborative work within the organization, but also supports collaborative work across geographies and organizations. Cooperate with head enterprises such as Huawei, Ping An, Byte Beat, Telecom, China Unicom, China Merchants Bank, UnionPay, Ctrip, etc. to solve business problems in various industries with the mechanism of open competition and data science, and whale community It has become the third mode for enterprises to purchase their own teams and services.
The Whale Community not only undertakes the R&D needs and innovation needs of enterprises in data science, but also connects the government’s high-level data contests to provide opportunities for exchanges and exchanges for talents in data science.
The China University Computer Contest – Big Data Challenge and the National Artificial Intelligence Contest have chosen to complete the entire process of organization with the whale community. K-Lab’s support for the cloud science of data science can support the collaborative work of thousands of data scientists and data analysts.
With four years of accumulation and support from K-Lab, the Whale Community has gathered more than 70,000 professional data talents. The large-scale user base and high-density application scenarios have also helped K-Lab to polish a better product experience and achieve a cycle between collaborative scale and product iteration.
Through the whale community, and whales have established a network of productivity synergies; through crowdsourcing and K-Lab products, and whales have established a network of production relations and production tools. Help the company build a full range of data through a Trinity product matrix and whales in an end-to-end mannerScience and AI capabilities to enhance the competitiveness of enterprises under the three technological changes of cloudization, intelligence and data.
Future , and whales will focus on the construction of data collaboration platforms around the world: on the one hand, global open source software and intelligent algorithm innovation will be launched in China, while the unique product capabilities and engineering capabilities of the Chinese market will be Operational capabilities are deployed in the global marketplace.