Mengchen sent from Aufeisi Qubit
| Public Account QbitAI
As one of the most watched AIGC players in the world, Microsoft has successively released two subversive applications on search engines and productivity tools.
At the first China AIGC Industry Summit, Guan Weiya, chief strategy officer of Microsoft Greater China, shared and discussed how AIGC opened up a new generation of productivity revolution from the perspective of commercialization path and enterprise AI strategic transformation.
China AIGC Industry Summit is an industry summit hosted by Qubit, and nearly 20 industry representatives participated in the discussion. The offline audience was 600+, and the online audience was nearly 3 million. It received extensive coverage and attention from dozens of media including CCTV2 and BTV.
topic points
In the era of artificial intelligence, there is reason to believe that every application can be intelligently driven by AI
The success of OpenAI can be summed up in 4 aspects
AIGC has three major entrepreneurial paths
The following is the full text of Guan Weiya's speech:
speech record
As we all know, we live in an era full of challenges and uncertainties, and the rapid changes in the external environment require every organization and individual to have the ability to adapt quickly.
At the same time, new technologies are constantly emerging, and technologies such as generative AI applications are a powerful boost for AIGC and the entire artificial intelligence industry.
As Microsoft founder Bill Gates said, "The artificial intelligence revolution is no less important than the birth of mobile phones and the Internet. This is a trend that cannot be ignored by any of us. We should have full confidence in it and be ready to meet it." this change".
In the era of artificial intelligence, we have reason to believe that every application can be intelligently driven by AI to achieve higher efficiency and better user experience.
Microsoft also sees that more and more organizations are transitioning to cloud native and AI technology to achieve this goal. By using cloud applications, data and AI services, enterprises can take the lead in the fierce market competition through intelligent applications built by AI, and these applications can also help enterprises achieve more efficient production, more accurate data analysis, and more Good customer experience, and help the decision makers of the enterprise to carry out decision support more effectively.
If we look back at the development of OpenAI, I can summarize its success in four aspects :
First, it has a very strong talent echelon;
second, it has a very advanced technology base;
third, it has a very long-term research and investment;
fourth, it has a very good culture of openness and cooperation.
In addition, Microsoft has also made very active and very large contributions to the development of OpenAI. In the early days of its development, Microsoft provided a strategic investment of 1 billion US dollars. In addition, Microsoft also built a top five supercomputer in the world for OpenAI, and provided OpenAI with a very diversified commercialization path, so that OpenAI can better Promoting its technology application and commercialization process.
OpenAI is a company dedicated to the research of artificial intelligence, and Microsoft is a technology giant with many users around the world. The combination of our two companies has not only trained many large-scale AI models that have attracted worldwide attention, but also The deep integration of AI technology with Microsoft's full range of products allows each of our companies and individuals to enjoy the great potential and infinite possibilities brought by AIGC.
When it comes to AIGC’s entrepreneurial path , from text, from code, from pictures to video, audio and multimodal, the time of each form of business path may be slightly different, but we generally think that summarizing these applications can Divided into three categories of functional angles .
The first category is to help enterprises reduce operating costs and improve operational efficiency.
For example, like a smart navigator, Microsoft is called Copilot, GPT can assist you in various tasks, such as in financial reports, or in the analysis of writing this article, it can help you provide very accurate summaries and summaries; in coding In the world of developers, according to the needs of users, Codex can automatically generate codes that meet the requirements, so as to improve the efficiency of system development very well and systematically.
The second category is more about improving customer satisfaction and product experience.
For example, through language interaction technology, companies of different types and industries can provide consumers with very personalized product recommendations, so as to meet the different needs and preferences of consumers, including our digital human and virtual human technology, which can also satisfy consumers Emotional companionship, customers who have a strong demand for high emotional interaction, thereby enhancing customer satisfaction and loyalty.
The third category is that AGI, as a revolutionary technology, bears very important social responsibilities.
By using AGI and AIGC, enterprises and organizations can better and more widely promote very expensive and customized services to the sinking market, thereby reducing the inequality in education and medical care in society.
In addition, artificial intelligence technology can also provide more convenient life services for the disabled, so as to help them better integrate into society.
At the same time, we can open up the imagination of AIGC in different industries.
First of all, in the field of manufacturing, we have seen that many companies have used artificial intelligence technology to greatly improve their production efficiency, especially at the supply chain level, which can increase the resilience of the supply chain;
In the field of smart cars and new energy vehicles, we see that artificial intelligence can realize the simulation training of the whole scene of automatic driving, and build a virtual car assistant, so as to better improve our driving safety;
In the financial field, artificial intelligence technology can help banks and financial institutions effectively identify and detect risks of fraudulent activities, and provide customers with safer and more reliable financial services;
In the medical field, artificial intelligence technology can provide a series of services such as diagnosis and treatment assistants, postoperative care, rehabilitation assistance, etc., which can help doctors and nurses diagnose and complete the process of treating diseases more efficiently;
In the field of entertainment and games, artificial intelligence can dynamically generate NPC interactions, and through user-defined plots, it can realize a real one-person-one game and bring personalized game experience to users;
In the field of education, artificial intelligence technology can create virtual tutors and classroom assistants, and can customize learning and counseling content according to students' different situations and interests, so as to realize the real teaching in accordance with their aptitude.
The value brought by AI is tangible and very specific. I would also like to cite a few examples of Microsoft's first batch of customers, reflecting the results obtained by the first batch of users in different industries.
Carmax uses the service of Azure OpenAI to conduct analysis on its huge customer database, and can complete 80% of the customized content of auto marketing without manual intervention. OpenAI can complete a senior auto marketing editor within a few days. 11 years to complete the content.
PROGRESSIVE can use AI to handle customer inquiries, and can process more than 200,000 high-quality data per month, which can save about 10 million US dollars in costs per year.
EY also uses AI technology to automate documents in contract audit services, helping each client reduce an average of about 250,000 hours of manual work.
AIGC provides unprecedented speed and scale for enterprises to innovate, which makes you and your organization face huge opportunities in AI transformation strategy, but how can enterprises raise AI strategy to the level of CEO? Which scenarios should be the first choice for pilot implementation? And how to locate the core competence and talent quality model of enterprises in the AI era? How to reshape the process, organization, and culture of the enterprise to better meet the new generation of productivity revolution? I think these are questions that the entrepreneurs here need to think deeply about.
Thank you for listening today, I hope my sharing can bring some enlightenment to the entrepreneurs present here, thank you!