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Cuiyunkai, CEO of Gewu titanium Intelligent Technology: data value jump, insight into the next generation of change forces

2022-06-12 00:18:00 Lattice titanium Engineer

In recent days, “ Count from east to west ” The project is officially and fully started , The strategic position of data elements has been pushed to a new climax , How to better release the value of data has become an important issue concerned by all walks of life .

“ Data is undergoing an intergenerational transition , Most Chinese enterprises have not yet awakened .” As an expert in the field of new data infrastructure , Founder and of Gewu titanium intelligent technology CEO Cui Yunkai pointed out , With the deepening of digital transformation , The management and use of unstructured data will be the core proposition of the next era , Enterprises need a new generation of data platform to deal with the upcoming changes and challenges .

From structured data to unstructured data

According to the IDC forecast , The global data circle will move from 2018 Year of 33ZB to 2025 Year of 175ZB, China will use 27.8% Is the largest data circle . future 5 During the year , Of these data 80% With pictures 、 video 、 Unstructured data in the form of voice , And will be annually 60% The growth rate of continues to expand .

Compared with structured data that has been fully and effectively used by the market , Unstructured data has a larger volume 、 More types 、 More information dimensions 、 Higher value characteristics , Because of its great challenge and difficulty, it is called “ Moby Dick of the business world ”, Bring time and high labor cost 、 Multidimensional and multimodal data value mining 、 Security, stability, compliance and many other issues .

At present, the unstructured management of enterprises is relatively primitive and backward , Most enterprises are still in the stage of traditional folder management , Studies have shown that , they 80% There is room for duplicate data , The engineer 60% Working hours in data search ,40% Data processing time is spent reading data from hard disk to memory and writing data from memory to hard disk .

In a recent survey of Gewu titanium , In the face of large-scale dispersion 、 In various forms 、 Unstructured data with complex relationships and exponential growth , near 95% Of AI Developers say unstructured data management is facing great challenges , Lack of effective management tools , Enterprises also face more serious pressure on data quality .

Evolution and transformation of data platform

As a builder of new data infrastructure , Gewu titanium intelligent technology sees a platform level opportunity for unstructured data , Determined to be the technological pioneer and leader of this change , Creatively provide a new generation of data platform support for innovative enterprises and development teams , Solve the difficulty of discovering unstructured data 、 Difficult to manage 、 Difficult to use equal pain points .

To see the strategic significance of Gewu titanium data platform at present and in the future , We need to go back to the previous generation of data platform for structured data to understand . The previous generation data platform is a convergence of traditional SQL Database is a platform for data retrieval and analysis , The earliest form of data platform , The operator manually exports each department Excel To summarize , Thus in a more perfect Excel Expand data analysis in the table , To assist the decision-maker to make the final decision . This kind of data management has its own limitations , It can only exist in the memory of a single machine , Unable to support long-term operation management .

With America 2000 Fermentation of Internet foam around the year , Database technology is becoming more and more popular , Derived a series of software to help each department of the company better manage internal data , such as HR System 、ERP、CRM wait , Gradually replace by Excel The mode of tabular records .

After that, the business environment became more and more complex , The enterprise is in SQL The amount of data accumulated in the database is increasing , We need a platform to collect these data , Therefore, the rise of data platforms ,Snowflake、Databricks、Elastic And other companies and related products in 2012 One after another .

10 Today, years later, all this has undergone earth shaking changes , Based on a larger scale 、 A more valuable unstructured data ecosystem will lead to a larger scale unstructured data platform . The first appearance of titanium may bring revolutionary power .

Create new forces for change

Grid titanium data platform , Relying on self-developed and efficient data engine , Drive the flexible access of massive and complex data , Give Way AI Better and faster development and data analysis , boost AI Practice of engineering and data capitalization . This platform supports multi-dimensional unstructured data , At the same time, it can be integrated with different applications , Throughout the data lifecycle , It can also apply the value of data elements to all walks of life .

Cui Yunkai introduced , Gewu titanium can help enterprises improve their data migration and data management capabilities . On data migration , Grid titanium provides better tools to make data flow faster , Such as data retrieval 、 visualization 、 version management 、 Automation and so on . Take autopilot for example , Gewu titanium has helped some enterprises to improve the efficiency of model iteration 50%. Tesla automatic training framework “Data Engine” The process is similar to , All processes from the collection of data at each vehicle end to the cloud , It can be realized on the grid titanium data platform . Through data collection 、 mark 、 Model deployment and other links , The long tail was identified during the test 、 Individual test , The failed data will be sent to the data container , Strengthen the data 、 Relabel 、 Training generation model …… Repeat until all scenes are covered , Under the feeding of a large amount of training data , Autonomous driving can become smarter and smarter .

In data management , Self developed data engine is the technical core of Gewu titanium , There are three systemic advantages —— The architecture of separation of storage and calculation 、 Multi dimensional and efficient data retrieval 、 Workflow automation , Like a car engine, it powers data , Make it better able to deal with massive and complex challenges , Achieve lower costs 、 On a larger scale . Cui Yunkai takes a luxury brand car enterprise as an example , Explains how to implement complex data management in multiple scenarios , The enterprise has produced a large amount of unstructured data in the process of vehicle production and user service , But there is no use or analysis , It's just that storage in the cloud causes a lot of waste , Gewu titanium helps the enterprise integrate all scene data , Get through structured and unstructured data , Achieve cross departmental 、 Cross business data analysis and Application , Ultimately, it will continue to bring business value , Such as auto insurance 、 Quality control 、 Future oriented product research and development, etc .

“10 Years ago , The founder of Netscape Marc Andreson say ‘ Software is swallowing the world ’, and 10 Today, years later , I want to help him add the second half , That's it ‘ Data is swallowing software ’.” Cui Yunkai thinks , The world is now on the eve of the outbreak of unstructured data , With the popularity of terminals' omni-directional perception of the physical world and cloud , The potential of unstructured data will be further released in the future , Various scenarios using unstructured data will also be more extensive . Many enterprises seeking sustainable development , Will be more high-tech and intelligent AI Join your own products and Strategies , They will realize leapfrog data-driven and value-added with the help of Gewu titanium .

For more information please visit Grid titanium official website

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