Accenture Yu Yi: We need a new “Moore’s Law” in the AI ​​era

When I met Yu Yi, Global Vice President of Accenture, President of Enterprise Technology Innovation Division of Greater China, and President of Accenture Ali Division, he had just returned from the 14th Annual Meeting of New Champions of the World Economic Forum ("Summer Davos 2023"). Forum") out of the main venue.

"We believe that this meeting at this moment is just right." Yu Yi said that artificial intelligence technology is bringing us new perspectives and possibilities, and this technology will also be the key to improving productivity and efficiency in the future. point. "Efficiency improvement must be a systematic process. Point-to-point innovation is no longer enough, it must be full-stack innovation. And these need the support of an open base."

Accenture is registered in Ireland. As a world-renowned professional services company, Accenture has always insisted on systematically observing the global business landscape, exploring and summarizing emerging technology trends with the greatest potential to disrupt enterprises and industries.

In the "Technology Outlook 2023" recently released by Accenture, it is mentioned that past strategies and technologies can no longer solve the major challenges faced by enterprises today. Building a fusion reality of atoms and bits is a necessary way to solve new problems in new ways. And only by joining forces can we face the serious challenges that lie ahead.

Not long ago, Accenture also announced that it will invest US$3 billion in the data and artificial intelligence business in the next three years to help customers in various industries promote and apply artificial intelligence technology more quickly and responsibly, and improve growth, efficiency and resilience.

Accenture has been a leader in artificial intelligence for more than ten years, with more than 1,450 patents and pending patent applications worldwide, as well as hundreds of client solutions for different fields, covering marketing, retail and manufacturing. field.

Yu Yi believes that enterprises are currently facing a comprehensive business reshaping, and business logic is undergoing great changes. "We have been doing digitalization for so many years, and now we have reached a critical point in time." In Yu Yi's view Come on, the last wave of digital dividends came from changes in business models, and the next wave of dividends we will embrace will be new improvements in people and overall efficiency with the help of artificial intelligence.

Currently, Accenture has integrated artificial intelligence technology into its service delivery methods, helping thousands of clients improve efficiency, gain insights and accelerate value realization through leading intelligence platforms including myWizard, SynOps and MyNav. Six years ago, Accenture pioneered a responsible artificial intelligence framework.

In Yu Yi's view, to understand the emergence of new technologies from an industrial perspective, we need a new structural thinking framework. "In the era of intelligence, a new generation of 'Moore's Law' is also needed."

【Dialogue】

01From the Metaverse to AI

Chen Bai: From blockchain, metaverse to today’s new wave of artificial intelligence, how do you view the selection and iteration of technical routes?

Yu Yi:We know that the diffusion and evolution of technology is a process. This process may not be the one-way curve we simply think of, but may even be a nonlinear change.

Regarding blockchain, cloud computing, metaverse and even generative AI, I prefer to regard them as changes brought to us by combined technological innovation. It is not an either/or relationship, but a mutual integration. For example, in the metaverse, it also needs to use the capabilities provided by generative AI. Of course, more fundamentally, it definitely also needs the computing power support based on cloud computing. We believe that three key technology trends, cloud computing, metaverse and artificial intelligence, will define the next decade and drive the integration and interweaving of the real and digital worlds.

At the same time, we also believe that this round of technological breakthroughs in generative artificial intelligence will have a profound impact. Enterprises need to take immediate action and make large-scale investments in data, talents and customized basic models to meet the needs of enterprises and realize technology value.

Chen Bai: Some people liken the current moment to the "iPhone moment" and believe that new industry dividends brought by new technologies are also exploding. What's your verdict?

Yu Yi: It may not be a certain technology that leads us to the "iPhone moment", but we believe that efficiency improvements are becoming the source of new dividends in the future. But this kind of dividend is different from the previous era. The source of the last wave of digital dividends was the change of business models, and the new source of dividends we will embrace next will be the combination of people and overall efficiency in artificial intelligence. Get new improvements with help.

Chen Bai: The human-machine relationship is becoming the focus of public attention. How do you view the human-machine relationship?

Yu Yi:For example, we can see that Copilot launched by Microsoft is being embedded into various Microsoft applications such as search and documents. We believe that artificial intelligence assistants will improve people’s productivity in the future. Bringing new efficiency improvements. So it will be a relationship that gives individuals more freedom and more abilities, rather than a simple replacement of humans and machines. We believe that artificial intelligence assistants like Copilot will be able to bring greater improvements to people's capabilities, so we do not think of it as a replacement relationship, but an enhancement and empowerment relationship, which can not only bring new opportunities , can also help us better improve efficiency. Just like after the emergence of mobile Internet, there are more new professions.

Of course, there is a threshold for the use of digital technology. Just like in the PC era, the threshold is that you can at least learn to type; in the artificial intelligence era, the threshold may be whether you have better ability to make demands, so from now on Look, the ability of prompt will become a threshold test for us to enter the new world of artificial intelligence.

02New Moore’s Law

Chen Bai: What is the thinking framework for understanding the AI ​​era?

Yu Yi:We believe that the AI ​​era requires a new "Moore's Law". Moore's Law has some basic elements. First, it is long-term; second, it can meet the needs of scale and marginal effects are getting lower and lower; third, it can penetrate into multiple fields and play an important role in the development of the industry. type of influence. In the information age, Moore's Law is concentrated in the semiconductor field. With the development of technology and the increase in scale, unit costs are reduced; in the digital age, Moore's Law mainly reduces unit costs through the distributed scale of the cloud; in the era of intelligence, we believe that in the future A rule should also emerge to define various aspects such as costs and benefits.

Chen Bai:How will the leap in artificial intelligence technology affect the future development of our economy?

Yu Yi:Artificial intelligence is a key technology that essentially brings efficiency improvements. It can be integrated with all aspects of enterprise application scenarios, which may be marketing, products or customer service. At the same time, it can also help companies with risk compliance.

Accenture’s latest “Technology Outlook 2023” report reveals four major technology trends. The first is general intelligence. Most of the Chinese business executives surveyed believe that such tools can stimulate great creativity and innovation and achieve tangible results, such as rapid and large-scale analysis capabilities (58%), and accelerated innovation (56%). . Other trends include data transparency and cutting-edge exploration.

In addition, another trend I want to highlight is digital identity. It not only involves the development rhythm of the industry, but also involves a broader trust relationship. The integration of personal identity information and digital services, data and other information achieves a seamless connection between the digital world and the real world. This is not just a purely technical issue, but an integral part of corporate strategy. If companies have the courage to reshape the future of digital identity, they will be able to significantly improve their own security levels, become more resilient to changes in the environment, and develop trusting collaborations with customers and partners. Most importantly, these companies will be able to gain the upper hand, create a better digital environment, and ultimately move towards a better world. How to ensure resilience, security, privacy, consent and trust will also be the next focus of enterprise organizations.

Chen Bai: For the real economy, how to better use new technologies to empower production methods when new technologies are emerging one after another?

Yu Yi:In the process of using artificial intelligence technology to combine the real economy and the digital economy, there will be many room for improvement and areas that were not originally thought of. For example, it turns out that the industrial Internet has done some basic work to connect to the Internet of Things, sensors, and equipment, but it has not fully revitalized them. After the iteration of artificial intelligence technology, it is equivalent to playing the role of a central nervous system and a brain, able to carry out more changes. Large-scale and efficient management, this will have an immeasurable impact. At this stage, we are still in the process of moving from industrialization to automation, and have not yet truly become intelligent. However, we are already accelerating the progress towards an intelligent world.

Author: Chen Bai Tao Siyu

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