Accenture: Why AI maturity is particularly important for enterprises Original

For AI, companies have actually always maintained a very high level of attention, and they are confident in the potential of AI. In 2021, nearly half of the world's 2,000 largest companies by market value have talked about AI in financial reporting meetings, showing unprecedented confidence in the potential of AI-driven business transformation.

Accenture surveyed 250 Chinese companies with revenue exceeding US$1 billion in the previous year, and released the research report "The Maturity of Artificial Intelligence: From Practice to Effectiveness". The report shows that from 2018 to 2010, The share of revenue driven by AI among Chinese companies has more than doubled and is expected to increase to 36% by 2024. Chen Zeqi, managing director of Accenture Greater China, head of applied intelligence business and chief data scientist, pointed out that enterprises need newer and more effective ways to conduct internal operations to reflect value enhancement.

The Maturity of AI

More and more companies are using AI to gain competitive advantages. 42% of the companies surveyed in the survey said, The return of AI projects exceeded expectations, and only 1% of the returns did not meet expectations.

So the maturity of AI is crucial to the development of enterprises. Accenture also released the Artificial Intelligence Maturity Assessment Framework for the first time, which found four key combinations among more than 80 different capability combinations. First, strategy and executive support, having higher executive support so that it can be implemented in the company Empower a full range of businesses through AI; second, the core of data and AI, whether the company has the capability of a data platform; third, talent and culture, the reserve of corporate AI talents; fourth, responsible AI, data will involve a lot Privacy must be used responsibly.

Accenture also distributes the capabilities of the four major combinations into two coordinate axes: AI basic capabilities and AI differentiated capabilities, and divides them into four categories: AI leaders, AI innovators, AI builders, and AI experimenters. quadrant.

A survey and analysis of Chinese companies shows that AI leaders, AI builders and AI innovators together account for only 48% of the companies surveyed, with respective proportions of 13%, 29% and 6%. The remaining companies surveyed are classified as the fourth category of "AI experimenters" (accounting for 52% of the companies surveyed), which have mediocre performance in both basic capabilities and differentiated capabilities.

"Compared to the world, China's AI innovators account for a higher proportion, but AI builders are lower than the world." Chen Zeqi said that Chinese companies have higher concerns and worries about responsible AI, so Data security, privacy, and ethical compliance will pose challenges to the implementation and deployment of enterprise AI.

The magic weapon for AI leaders to win

What is so special about AI leaders? Chen Zeqi mentioned that AI leaders have three outstanding capabilities. First, consider multiple aspects and make comprehensive efforts: integrating the advantages of strategy, process and personnel; second, run quickly in small steps and promote scale: AI leaders They are better at converting pilot results into broader productivity; third, open up the landscape and focus on factors other than financial indicators: AI leaders can achieve business and financial indicators, and can also contribute to green transformation.

AI is a discipline and an art. Accenture sees five major winning factors in becoming an AI leader:

First, firm AI strategy: 100% of AI leaders stated that the AI ​​strategy is formally supported by senior management;

Second, develop AI talents: 93% of AI leaders have set up compulsory AI courses for grassroots employees and senior management;

Third, create AI core: AI leaders are more inclined to customize machine learning applications and realize the industrialization of tools and teams;

Fourth, design responsible AI: 50% of Chinese companies We hope to deploy responsible AI on a large scale in 2024;

Fifth, prioritize AI investment: By 2024, leaders’ AI budgets will account for 41% of technology investments.

At present, there are obvious differences in the focus and maturity of AI applications in different industries. However, in the next three years, the application gap between industries will gradually narrow. The high-tech industry will still lead, such as communications and media, automobiles, energy, Industries such as insurance and retail will also make great progress.

Chen Zeqi observed that insurance companies’ AI applications are not only used in claims settlement, but also in training, customer reception, recruitment and other scenarios; the manufacturing industry will combine AI with other technologies when building smart factories to further optimize and scale.

Sany Group is an example of the manufacturing industry. Two of its factories have been rated as "Lighthouse Factories" by the World Economic Forum. The factories are equipped with a large number of equipment resources, such as automatic guided vehicles (AGVs). , intelligent warehousing warehouses, robotic arms, etc., as well as comprehensive dispatching systems and central control systems for overall planning and optimization. Relying on the root cloud platform of Root Internet and the deeply integrated manufacturing operation system (MOM), Internet of Things management platform (IOT), remote control system (RCS) and other systems, an "industrial brain" for manufacturing has been formed.

As AI becomes an important source of new competitive advantages for enterprises, Chinese enterprises are planning to increase related investments. In 2021, about one-third (34%) of the Chinese companies surveyed said that their budget for AI development exceeded 30% of the total technology budget. By 2024, two-thirds (64%) of companies are expected to reach this investment ratio.

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