China: By reservoir standards, the Helong Reservoir in Guangzhou's Baiyun neighborhood, which is roughly the size of 186 football fields, is small. However, due to its size, maintaining its security requires a tremendous amount of work, requiring employees to walk around it twice a day to check in for two hours.

Heilong Reservoir's head of management, Li Shutang, claims he now receives real-time alerts on his smartphone whenever something unusual happens. “Exactly the kind of intelligence we need is this. There was an urgent need for smart upgrades of management techniques as we are constantly short of workers.

Earlier this year, Baidu began implementing its artificial intelligence (AI) cloud solutions at Heilong Reservoir, and for Li, it proved to be a real problem-solver by saving its employees from performing many time-consuming manual inspections. Has happened.

 Thanks to the company's AI cloud infrastructure, the reservoir is able to meet the day-to-day needs of residents, such as pollution detection and flood control. It also has better emergency response capabilities.

Helong Reservoir is the most recent example of how Baidu AI is transforming traditional and core industries using cloud technology, while also enhancing its AI capabilities in mainland China. In the first quarter of this year, the cloud infrastructure services market in mainland China grew 21% year over year to US$7.3 billion, according to a study by research firm Canalys, bolstering its position as the leading growth market for cloud capabilities. holds on.

According to the China AI Public Cloud Services Market Report for the second half of 2021 published by the international market intelligence company IDC, Baidu's AI cloud market share is at No. 1.

1 last year in mainland China, a position the company has held consistently among all AI public cloud providers in recent years. This is due to the company's advantage of combining cloud and AI.
This achievement highlights Baidu's position as one of China's leading AI technology companies. Revenue from Baidu AI Cloud grew 45% year over year, according to the company's 2022 first quarter results.

Baidu's co-founder and CEO, Robin Li, said during the company's first quarter earnings conference call earlier this year: "Baidu AI Cloud continues its rapid growth by benefiting from the digital and intelligent transformation of China's traditional industries. We have experienced rapid revenue growth in recent quarters, with an emphasis on the quality of growth in the public service sector as well as our state-of-the-art AI technologies.

The company will present its AI solutions at the annual Baidu World Conference to be held on July 21 this year. Increased efficiency in electricity generation, improved efficiency in quality inspection processes in construction, and how an AI model within a water plant can refine the prediction of consumption needs, thereby saving water resources, are just a few examples. Case studies are highlighted. Baidu will submit. The business will demonstrate how these capabilities are transforming the Chinese economy.

Baidu's revenue growth is primarily driven by AI Cloud. Baidu has developed a variety of AI-powered tools and applications that generate more scalable and replicable AI solutions in industries such as public service, energy and utilities, health care, and transportation – areas it seeks to address societal problems. and wants to differentiate himself from others. Mainland AI provider.

One of Baidu's recent and notable projects is an 8-million-person-strong smart water plant in Quanzhou, Fujian Province. Due to Baidu's machine learning capabilities, the plant can now use AI tools to estimate water consumption and automatically adjust supply.

Baidu AI Cloud provides distributed computing, a data lake, and data visualization technology thanks to its big-data platform. This makes it easy to fully understand and control every aspect of production. The fully automated system connects and manages all the end tools without the need for manual input, producing a superior database analysis.

Workers use the information to determine how much water is needed, accounting for seasons, seasonal changes, and holidays. It effectively solves the issue of low water pressure in high-rise buildings during busy times, which is important for Quanzhou residents.

AI water consumption prediction models currently have an accuracy rate of above 98%, which increases employee productivity, reduces the energy required to process water, and speeds up wastewater treatment.
The water supply industry is not the only one that should embrace digitization and intelligent transformation. According to Baidu, the aim of developing its AI cloud is to address real-world issues, increase efficiency across all industries, and improve urban infrastructure.

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