曦灵

Platform introduction:

Baidu Xiling is an "AI digital human-driven digital transformation hub" built for domestic government and enterprise customers. The core solution is to three types of enterprise pain points: * Scenario adaptation is narrow : Ordinary digital human tools only support a single scenario (such as live broadcast), It is difficult to meet the multi-scenario reuse needs of enterprises in "customer service-training-marketing"; Low interactive intelligence : Traditional digital humans can only respond to preset conversations and cannot understand complex user needs (such as fuzzy consultation, multiple rounds of dialogues), poor user experience; High data security risks : Digital human interactions in finance, government and other industries involve sensitive data (such as user identities, business information), and it is difficult for universal cloud platforms to protect data privacy.

Its core logic is to "empower digitalization with 'hyper-simulation technology + enterprise-level security + full scene adaptation'": there is no need to limit a single scenario, and a single digital person can adapt to multiple services such as customer service and training; there is no need to worry about stiff interactions, and the Wenxin Big model supports the entire process of" comprehension-response-feedback "intelligence; There is no need to compromise data security. Privatization deployment and encryption technology meet high compliance requirements, allowing digital people to upgrade from "marketing tools" to "enterprise core business partners", adapting to all levels of needs from small and medium-sized enterprises to large government and enterprises.

Core functions:

1. Core: Four major functional modules
   1. Ultra-realistic digital person customization: creating exclusive corporate image
      Solve the problem of "digital people lack brand recognition and are out of touch with business scenarios" and adapt to the image needs of multiple industries:
      • Image customization ability :
      • Industry general image library: Provide 5-8 standardized digital person images such as "Financial Advisor","Government Commissioner","Training Lecturer" and "Customer Service Commissioner", etc., and the clothing and makeup are consistent with the industry tone (such as financial digital people wearing formal attire, government digital people wearing uniforms);
      • 1:1 replica of real people: Upload high-definition photos and videos of corporate employees/brand IP (support MP4/AVI format), and rely on Baidu's "Wenxin·Yige" image generation technology and lip driving algorithm to achieve "minute-level modeling"--Restore facial micro-expressions (such as smiling, nodding) and physical movements (such as gesture guidance, document scrolling). A bank reported that "the digital person of the financial manager is reproduced, and the trust level of customer consultation is equal to that of the real person";
      • Adapting sound and interactive style : Support customization of digital human tones (such as "financial professional male voices" and "government gentle female voices"), interactive tones (such as "patient and affinity" in customer service, and "rigorous and professional" in training), sound and image styles are highly unified to avoid "separation of sound and painting".

2. Multimodal intelligent interaction: Deep response beyond preset
   Break through the "limitations of traditional digital human speech", solve the problem of "inability to respond to complex needs", and adapt to corporate business scenarios:

   • Omni-channel interactive support : Covering multimodal inputs of "text (official website/APP dialogue), voice (telephone customer service/smart slightly), and visual (video call/live interaction)". Users can interact with digital people through "typing consultation","voice questioning" and "lens gesture instructions";
   • Intelligent response driven by Wenxin model :
     • Understand complex needs: You can identify vague inquiries (such as "how to apply for loans"), multiple rounds of dialogues (such as users asking "what materials are needed for loans" and "what is the interest rate"), and automatically associate the enterprise business knowledge base (such as bank product details, government affairs process);
     • Scenario generation: dynamically adjust the response logic for different business scenarios-customer service scenarios automatically soothe users 'emotions (such as "Don't worry, I will help you check the progress"), and training scenarios automatically disassemble knowledge points (such as "This operation step is divided into 3 steps, and I will demonstrate it step by step");
   • Real-time interactive feedback : Supports the generation of visual results (such as customer service scenarios pushing "loan application link" and training scenarios displaying "operation flow chart"). A retail company uses it for intelligent customer service, and the problem resolution rate has increased to 82%., 35% higher than traditional robots.

3. Full scenario application implementation: business coverage from customer service to training
   Solve the problem that "digital people can only 'see' but not 'use'" and empower the core business of enterprises:

   • Intelligent customer service scenario : Digital people can replace manual processing of "high-frequency consultations"(such as bank "balance inquiry", e-commerce "logistics tracking", and government affairs "service guide"). They are online 7×24 hours a day, and support automatic transfer. Manual (triggered by complex issues), after using a certain government hall,"the volume of manual customer service consultations was reduced by 40%, and user waiting time was shortened to less than 1 minute";
   • Enterprise training scenarios : Customize the "Training Instructor Digital Person", embed it into the company's internal courses (such as the new employee induction process and product knowledge explanation), and support "interactive learning"(such as employees asking questions "Are there any exceptions to this process?", the digital person answers in real time). A technology company uses it to train new employees, with a 25% increase in assessment pass rate and a 30% reduction in training costs;
   • Brand marketing scenarios : Digital people can be used for "live product launch conferences","offline store shopping guides" and "user private domain interactions" to support real-time product recommendation (such as recommending corresponding models based on user consultation). A certain home appliance brand uses digital people as store shopping guides, and the customer unit price increases by 18%;
   • Government service scenarios : Adapting to "government hall guidance" and "policy interpretation live broadcast", digital people can accurately convey policy details (such as social security payment standards and talent introduction policies) to avoid manual interpretation deviations. After the government platform of a certain city is used, the policy consultation accuracy rate reaches 98%.

4. Enterprise-level data security and operations: dual guarantees of compliance and effectiveness
   Solve the problem of "sensitive data leakage and difficulty in optimizing interaction effects" and adapt to the needs of high-compliance industries:

   • Data security :
     • Privatization deployment: Support local deployment of digital human systems and data (such as financial institution intranets and government-specific servers). Data is not connected to the public network, which complies with the Financial Data Security Guidelines and Government Data Management Measures;
     • Full link encryption: Interactive data (text/voice/user information) is stored using AES-256 encryption, and access requires multiple authorization verification (such as administrator account + dynamic password) to avoid data leakage;
   • Operational data review : Provide multi-dimensional data reports (such as "daily interaction volume","problem resolution rate" and "user satisfaction"), and AI automatically analyzes shortcomings (such as "low response accuracy for certain types of questions → Suggestion Update the knowledge base") to help companies optimize the interaction effect of digital people;
   • Continuous technical iteration : Synchronize the upgrade of Baidu Wenxin's large model (such as improving language understanding and image generation quality), and regularly update digital human functions (such as adding "gesture interaction" and "multi-digital human collaboration") to ensure technological leadership. Sex.

typical application scenarios

• Intelligent bank customer service : A state-owned bank customized a "financial consultant digital person" and embedded it in the mobile banking APP to answer users 'questions such as "financial product income" and "loan application conditions" 7×24 hours a day, and support voice interaction and real-time push of products. Details, the problem resolution rate reached 82%, the pressure on manual customer service was reduced by 40%, and user satisfaction increased to 90%;
• Interpretation of government policies : A city's government affairs platform uses a "Digital Person of Government Commissioners" to carry out a live broadcast interpretation of the "New Social Security Policy". The digital person answers questions such as "Payment Base Adjustment" and "Subsidy Application Process" in real time, and simultaneously pushes service guide links., the live broadcast views reach 500,000 +, and the policy awareness rate is 60% higher than that of traditional pictures and texts;
• Training for new employees in the enterprise : An Internet company customized a "digital person for training instructors" and developed an online course of "corporate culture + product knowledge". The digital person can disassemble complex knowledge points (such as "explanation of product function modules") and support employees. Ask questions at any time (such as "How does this function connect with the customer system"), the training period for new employees has been shortened from 2 weeks to 1 week, and the assessment pass rate has increased by 25%;
• Retail store shopping guide : A chain home appliance brand deploys "shopping guide digital people" in stores. Users consult "refrigerator capacity" and "washing machine energy consumption" through touch screens. The digital people recommend suitable models in real time, display product parameter comparison charts, and store customers The unit price increased by 18%, and the labor cost of shopping guides was reduced by 30%.

applicable population

• Financial institutions : Banks, insurance, and securities companies require digital people to carry out intelligent customer service, financial consultation, and product marketing to ensure data security and compliance;
• Government units : Urban government halls and convenience service centers require digital people to interpret policies and guide affairs to improve service efficiency;
• Large enterprises : Retail, technology, and manufacturing enterprises need digital people to carry out employee training, store shopping guides, and customer services to reduce operating costs;
• Small and medium-sized enterprises : Small and medium-sized enterprises with lightweight digital human needs (such as basic customer service and brand promotion) need to implement standardized solutions quickly.

Unique advantages (compared with similar enterprise-level digital human platforms)

1. Baidu has high technical barriers : Relying on the multi-modal model of Wenxin, digital people are leading the industry in the ability to "understand complex needs" and "generate scene-based speech skills", and the nature of interaction is comparable to that of real people. A bank feedback that "users have not realized it is a digital person after multiple rounds of conversations";
2. Strong reusability in all scenarios : The penalty character person can adapt to multiple scenarios of "customer service-training-marketing" without repeated customization, which saves enterprise costs more than the "single scenario digital person tool". A retail enterprise uses 1 digital person covers 3 types of business, reducing costs by 50%;
3. Enterprise-level security compliance : Supports privatization deployment and full-link data encryption, meets high compliance requirements in finance, government and other industries, is more secure than general cloud platforms, and has passed the Data Security Law and Personal Information Protection Law Compliance certification;
4. Baidu Ecological Linkage : It can connect with Baidu Cloud (computing power support), Baidu Maps (government/retail scenario location services), and Baidu Search (accurate matching of user needs), making it easier to integrate into the company's existing digital system than independent digital human platforms;
5. The effect can be quantified : Provide multi-dimensional operational data and optimization suggestions to help companies track the actual value of digital people (such as "how much to reduce costs" and "how much to improve efficiency") and avoid "blind investment".

precautions

1. Sort out customization requirements in advance : Before customizing digital people,"application scenarios (such as customer service/training), core functions (such as whether voice interaction is required), and compliance requirements (such as whether privatization deployment is required)" need to be clarified to avoid due to requirements. Ambiguity leads to repeated modifications and extends the implementation cycle;
2. Preparation of business knowledge base : Intelligent interaction relies on the enterprise business knowledge base (such as product details and service processes), and structured data (such as Excel forms and documents) needs to be organized in advance to ensure accurate responses from digital people;
3. Technical docking and cooperation : When the API connects to the existing system of the enterprise, the enterprise technical team needs to cooperate with Baidu technical support to clarify the interface specifications and data transmission methods. The docking cycle is about 2-4 weeks, and sufficient time needs to be reserved;
4. Operation team configuration : It is recommended that enterprises equip 1-2 digital person operators, who are responsible for "speech updates, data review, and user feedback processing" to prevent the digital person interaction effect from declining over time;
5. Compliance content control : Digital human interactive content (such as financial product promotion and policy interpretation) must comply with industry regulations (such as the Advertising Law and the Banking Supervision and Administration Law). Baidu provides basic compliance reviews, and enterprises need to confirm the final content.