Embracing the AI Big Model, Great Wall Motors' Digital Intelligence Breakthrough Adding Sharp Edge

Global Network Reporter Wang Yuqi; With the hot trend of the "Hundred Model Wars" in the first half of the year, the general artificial intelligence big model is gradually being implemented in specific application scenarios, and this big model revolution is also sweeping towards the automotive manufacturing industry.Recently, Great Wall Motors Co

Global Network Reporter Wang Yuqi; With the hot trend of the "Hundred Model Wars" in the first half of the year, the general artificial intelligence big model is gradually being implemented in specific application scenarios, and this big model revolution is also sweeping towards the automotive manufacturing industry.

Recently, Great Wall Motors Co., Ltd. and iFlytek Technology Co., Ltd. signed a strategic cooperation agreement on the industrial big model and knowledge brain in Hefei, jointly building the first knowledge big model in the automotive industry - Great Wall Motors' knowledge brain.

The big models we currently see are mostly general models, and the ones that will truly penetrate into industry scenarios in the future should be industry big models with vertical field capabilities, "said She Shangfeng, Vice President of Great Wall Motors.

It is understood that the knowledge brain of Great Wall Motors is an AI large model system based on the knowledge of Great Wall Corporation, which utilizes various forms of knowledge such as massive documents, data, and images within the company, trains enterprise level knowledge models, assists business personnel in decision-making, and achieves a complete closed-loop system from knowledge production, governance, learning, and application.

The advanced form of evolution is' self evolution '

The transformation of the automotive industry, electrification is the first half, and intelligence is the second half. This statement has become a consensus in the industry. Whether it is the support for smart car products or the empowerment of enterprises themselves, AI technology has become a solid foundation for sustainable upgrading in the new era of smart cars.

From 'software defined cars' to' AI defined cars', in fact, it is also due to the increasing AI technology content in automotive products, resulting in an exponential increase in the amount of data generated.

With the nurturing of data, big models continue to evolve themselves, and the self upgrading of the "digital intelligence" brain of enterprises is also natural. The knowledge brain of Great Wall Motors is a typical representative of empowering enterprises to undergo digital and intelligent transformation and upgrading.

It is reported that Great Wall Motors has 150000 employees, with over 30 years of operation and over 20 years of IT informatization and digital construction. There are massive unstructured knowledge files in its enterprise system. From explicit knowledge of various rules, regulations, processes, standards, work instructions, operation and maintenance manuals, to implicit knowledge of industry experts with rich experience, it is extremely challenging to find specific specifications corresponding to problems in tens of thousands of documents and billions of words of professional guidelines, and to "tailor the medicine to the case".

Our automotive research and development engineers have accumulated rich experience in continuously solving problems, which are core assets for Great Wall Motors. Knowledge that has not been systematically managed is like fragments. What we need to do is to awaken dormant knowledge through Great Wall Motors' knowledge brain to help the company achieve self growth, "said She Shangfeng.

There is a saying in Ray Dalio's book 'Principles':' A person's true growth is constantly evolving themselves. 'This sentence also applies to businesses. Great Wall Motors has already begun to "transform" internally, learning AI knowledge, applying AI big models, and upgrading towards comprehensive digitization and intelligence.

A full chain transformation and reconstruction

In the fierce industry competition, the product lifecycle of automobiles is infinitely compressed, and the speed of innovation is comparable to that of smartphones. But many car brands' after-sales services do not have such "speed and passion".

The user drove his car into a 4S store to seek repair, but the repair technician was helpless due to not being able to obtain the performance parameters of this new car in a timely manner, which has frequently become a reality.

Great Wall Motors seems to have mastered the art of breaking the game. Maintenance technicians usually pass on maintenance experience through mentoring, which leads to high costs, low efficiency, and uneven results. "She Shangfeng introduced: But with the help of Great Wall's knowledge brain, the qualifications and experience required for maintenance skills can be deposited in Great Wall Motors' knowledge brain, and through intelligent push, knowledge can actively 'find' maintenance technicians, helping them master the latest skills and abilities, and providing users with better quality services

At present, the knowledge brain of Great Wall Motors has empowered the research and development field of enterprises, and will also benefit business scenarios such as marketing and manufacturing in the future.

Taking the Q&A of enterprise standard knowledge in the R&D field as an example, there are difficulties in searching for R&D knowledge, sharing R&D knowledge, and managing product documents under the mountains of enterprise standard documents. And through the enterprise standard assistant, based on search knowledge analysis, the answer is directly provided, and the position of the answer is located. It only takes 3 seconds to liberate R&D personnel from the original "Wenshan Table Sea", helping them to understand the crux of the problem in one step and focus on solving key problems.

The introduction of the AI big model by Great Wall Motors can be seen as a key puzzle for completing digital intelligence - applying the assistance of intelligent driving on the vehicle end, creating intelligent cabins, and applying them to the field of enterprise knowledge, helping enterprises achieve digital and intelligent collaboration from product research and development to operational management.

To advance bravely in the torrent, it is even more important to have a long and narrow flow. In the view of Great Wall Motors, the ability to optimize and upgrade the entire chain of "research, production, supply, sales, service, and management" through the knowledge model of the automotive industry is of more profound significance.

The fixed strength of ecological construction remains unchanged

The automotive industry is currently in a state of flux, and 'ecology' is its unchanging principle.

With the subdivision of the intelligent driving vehicle market and the continuous popularity of large models, the ecological circle of Great Wall Motors is also constantly expanding, covering various aspects such as intelligent cockpit, intelligent driving, AI interaction, IoT, multimedia services, etc.

By leveraging iFlytek's leading general model capabilities, coupled with Great Wall Motors' rich products and diverse scenarios, we aim to jointly create a large model perpendicular to the knowledge field of the automotive industry.

In addition to viewing the development of various new technologies in the automotive industry with an open mindset, Great Wall Motors also benefits its ecological partners with the new technologies it has mastered. It is reported that Great Wall Motors' large model platform supports multiple open-source and commercialized large models, providing standardized service interfaces, and users can directly call and test the results online.

Disclaimer: The content of this article is sourced from the internet. The copyright of the text, images, and other materials belongs to the original author. The platform reprints the materials for the purpose of conveying more information. The content of the article is for reference and learning only, and should not be used for commercial purposes. If it infringes on your legitimate rights and interests, please contact us promptly and we will handle it as soon as possible! We respect copyright and are committed to protecting it. Thank you for sharing.(Email:[email protected])