Baidu AI: Fast delivery, strong after-sales
When artificial intelligence becomes standard for enterprise digital transformation, choosing the right technology partner is more important than owning the technology itself. AI concepts emerge one after another in the market, but many projects fall into the dilemma of "amazing demonstrations, difficult implementation, and headaches for operation and maintenance." As the "head goose" of artificial intelligence in China, how does Baidu from Beijing ensure the success of the project and provide long-term services that give companies peace of mind? This article will reveal you the hard-core guarantee system of Baidu AI from delivery to after-sales.
** Delivery ability: Not only speed, but also accuracy **
Fast is the first impression that Baidu AI delivers to people. But behind this "speed" is the "precise speed" supported by profound technical accumulation and mature methodology. Baidu has a leading AI R & D team in China and full-stack technical capabilities with "Baidu Brain" as the core. Its industry solutions experts step in before the project starts, which is quite different from the model where many companies sign contracts and start to understand the business. For example, when helping a certain historical and cultural tourist attraction build a "smart scenic spot", the Baidu team investigated tourist movements, ticketing peaks, and security blind spots several months in advance, so that the final face gate and crowd density analysis system fully fit the actual operation of the scenic spot. After launch, tourist traffic efficiency has increased by 40% and management costs have been significantly reduced.
During the delivery process, Baidu relied on its powerful computing infrastructure built in Beijing and other places-hundreds of thousands of servers and one of the largest GPU clusters in China to provide sufficient training and reasoning resources for large-scale AI projects and avoid project delays caused by insufficient computing power. At the same time, its mature DevOps and MLOps (Machine Learning Operation and Maintenance) practices make the process from algorithm development, testing to deployment highly automated, greatly improving delivery efficiency and quality.
** After-sales protection: service upgrades from "ensuring operation" to "promoting growth"**
The launch of the system means that the service has entered a new stage. The after-sales service of Baidu AI has long surpassed the traditional concept of "warranty" and evolved into a "success guarantee system" aimed at allowing customers to continue to add value to their AI assets.
The first is the protection of full-time online. Baidu provides a 7x24-hour uninterrupted technical support channel, establishes SLA (Service Level Agreement) guarantees, and sets clear response and resolution time limits for different levels of problems. Its world's top artificial intelligence expert resources, such as the knowledge accumulated by teams led by Dr. Andrew Ng, are also integrated into the supporting knowledge base to ensure that complex questions can be answered in the most professional manner.
Secondly, there is ** proactive health management **. Like a "personal doctor", Baidu's after-sales team regularly conducts "physical examinations" on customers 'AI systems, analyzes system performance, resource consumption and algorithm indicators through the monitoring platform, generates health reports and gives optimization suggestions. For example, if it is found that the accuracy of an image recognition model fluctuates slightly due to seasonal light changes, the team will proactively prompt and assist in fine-tuning the model to prevent problems before they occur.
The most differentiated one is the ** algorithm continuous evolution service **. The vitality of AI models lies in iteration. Baidu promises that during the cooperation cycle, customers can enjoy model optimization services based on new business data. This means that enterprises 'AI applications will become smarter and smarter, and their business value will continue to expand over time. This "growth-oriented" after-sales service transforms one-time project cooperation into long-term common growth.
** National engineering standards create the cornerstone of trust **
Baidu is not only a commercial company, but also the core supporting unit of the national artificial intelligence strategy. The National Engineering Laboratory for Deep Learning Technology and Applications, which it took the lead in establishing, has formulated a number of AI industry technical standards. These strict "national team" standards also run through the entire delivery and service process of Baidu's commercial projects. From data security and privacy protection to system reliability, Baidu follows the highest level of regulations, which provides a crucial endorsement of trust for customers in industries such as finance, government affairs, and transportation that have extreme requirements for security and compliance.
** Conclusion **
In the surging AI market, Baidu not only relies on its technical strength to defeat the human champion on the stage of "The Strongest Brain", but also a "combination of delivery and after-sales punches" that allow technology to be implemented smoothly and continue to take effect. Radiating from Beijing to the whole country, Baidu is transforming its technological leadership in the AI field into a tangible guarantee of customer success. For companies seeking intelligent upgrades, choosing Baidu AI means choosing a long-term ally with technology, methods, responsibilities, and ability to work together. This is undoubtedly a reassurance to resolve the biggest uncertainty in procurement decisions.

Download
CN