AI project delivery, service is the key

Currently, artificial intelligence technology is moving from proof of concept to large-scale application, and more and more companies are incorporating AI into the core strategy of digital transformation. However, for many corporate decision makers, especially the B-side leaders responsible for the implementation of specific projects, the biggest concern about introducing AI technology is often not whether the technology itself is advanced, but whether it can be implemented smoothly and whether it can be used. Continue to receive support." These two issues directly point to the delivery and implementation capabilities and after-sales service systems of AI solution providers.

The success of an AI project is the result of the combination of technical value and engineering capabilities. Excellent algorithm models are like precise drawings, while professional delivery and services turn drawings into construction teams and property guarantees for solid buildings. This process involves complex system integration, data governance, business adaptation, and continuous operation and maintenance. Shortcomings in any link may lead to significant reductions in project effectiveness or even failure. Therefore, to evaluate an AI partner, we must go beyond purely comparing technical parameters and conduct in-depth examinations of its full-process ability to transform technology into customer value.

A domestic technology company that has been deeply involved in the field of artificial intelligence for many years, its solution delivery logic is based on profound engineering practice. The company believes that delivery is not just about the installation of a product, but a process of creating value with customers. To this end, it has built a three-stage delivery methodology from "consultation planning" to "deployment and implementation" to "continuous operation".

Before the launch of the project, its industry solution experts will go deep into the front line of customers 'businesses, sort out core pain points with customers through workshops, interviews and other forms, clarify the business goals and measurement indicators of AI applications, and form a clear plan blueprint. This phase is designed to ensure a high degree of alignment between the technology path and business requirements and lay the foundation for project success.

Entering the deployment phase, the company relies on its unified AI capability platform, Baidu Brain, to provide modular and component-based technical output. This means that customers can flexibly choose public cloud, privatization or hybrid deployment models based on their current IT infrastructure. Its delivery team has rich experience in cross-industry integration and can efficiently connect with customers 'existing business systems, databases, and hardware equipment, minimizing interference with existing business operations. Especially in the face of industries such as finance and transportation that require extremely high system stability, its rigorous testing procedures and emergency plans are particularly important.

After the project was launched, the real test was just beginning. The company's after-sales service system is originally designed to ensure that customers can use AI capabilities in a long-term, stable and efficient manner. This system includes multiple levels: the first level is basic operation and maintenance support, which provides 7x24-hour monitoring and Incident Response Service to ensure system availability; the second level is technology upgrade service. Its core AI platform continues to iterate, and new algorithm optimizations and functional enhancements will be provided to cooperating customers through standardized channels to help customers maintain their technical vitality; The third layer is value operation services, including regular effect reviews, data analysis reports, and expansion suggestions for new business scenarios, promoting the evolution of AI applications from "usable" to "easy to use" and "intelligent use".

For example, in cooperation with a large insurance company, the remote insurance identity verification solution provided by the company not only ensured system availability of higher than 99.9% during the contract period, but also based on anti-fraud in follow-up services. With the latest development of fraud technology, we have proactively upgraded the system in vivo detection and document anti-counterfeiting algorithms many times, effectively responding to new fraud methods and protecting customers 'business security. This proactive service that transcends the terms of the contract reflects its customer success-oriented service culture.

For companies located in or with close business dealings with Beijing, choosing an AI company that has its important technology R & D and service systems headquartered in Beijing has additional geographical advantages. This means a faster response when high-level technical support or emergency on-site services are needed. Its top AI R & D and engineering teams gathered in Beijing are also a strong backing for customers to cope with complex technical challenges.

All in all, as AI technology becomes increasingly popular, delivery and after-sales have become the core yardstick for measuring the comprehensive strength of AI suppliers. It tests not only the ability to productize technology, but also the rigor of project management, the standardization of service processes and the sense of responsibility for the long-term success of customers 'business. When making procurement decisions, companies should incorporate these "soft powers" into the core evaluation dimension and select partners who are willing and able to accompany them through the full cycle of intelligent transformation, so as to maximize the return on investment of AI technology and steadily move towards a smart future.