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專業服務方案
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AI 代理
方案供應商
商業AI接待專員
Baideac
- 輕鬆與已部署的網站無縫整合
- 透過管理介面即時按網站需求自訂主題
- 支援上載多種文件格式供AI作參考，包括PDF、附語音旁白的影片 / 音頻、URL及文字
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安全對話式人工智能系統
Mindro AI
- 可與公司知識庫無縫整合的個人化AI助理
- 用戶可提出自然語言問題，獲取精準且符合情境的回應
- 完整掌控防火牆規則定義權，防止敏感資訊洩露
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AI客戶服務代理
Sendbird, Inc.
- 全渠道無縫支援: AI代理全程跟進，全天候跨渠道服務直至問題解決
- 企業級基建架構: 助力業務安全合規擴展，提供穩健可靠技術支援
- AI代理頂尖效能: 實現業界領先的AI代理性能表現
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Insightbot: AllCloud's AI Chatbot powered by Anthropic
AllCloud
- Anthropic-Powered Performance: Leverages Anthropic Claude models, which surpass GPT-4 in performance, delivering highly accurate and contextually aware responses.
- RAG Technology: Utilizes Retrieval Augmented Generation to provide real-time, relevant information, significantly improving response accuracy and user satisfaction.
- AWS Integration: Built on Amazon Bedrock, ensuring seamless integration, scalability, and robust security compliant with AWS standards.
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Agentic AI Finance Assistant
Mphasis
- Agentic Ai Lex Chatbot helps Customers to swiftly connect and check to the banking system related to any of their Credit card related issues, to raise a query or even to reach a customer care excutive to discuss about his issue.
- Transform credit card support with our AI-powered assistant powered by AWS Lex and agentic AI. Instant 24/7 voice and chat help for payments, fraud alerts, rewards, and more. Scalable, secure, and smart—this assistant handles routine queries autonomously, slashing wait times and boosting satisfaction. Deliver faster, smarter support that drives loyalty and cuts costs—anytime, anywhere.
- Improves customer satisfaction with fast, reliable responses and automates tasks to cut costs and boost efficiency. Frees employees for strategic work and scales with demand without losing performance. Ensures quicker, more accurate issue resolution, enhancing reliability. By adopting this system, businesses gain productivity, efficiency, and customer loyalty—driving long-term success and competitiveness.
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Generative AI : Retrieval-Augmented Generation (RAG) - LLM-Based Chatbot
SnapSoft
- Hybrid Approach: RAG utilizes a hybrid approach that combines retrieval-based and generation-based techniques, allowing it to offer both contextually relevant responses and generate novel, coherent responses. Advanced Language Models: RAG is built upon state-of-the-art language models such as Anthropic’s Claude, ensuring high-quality responses and a nuanced understanding of user inputs.
- Customization: RAG can be fine-tuned and customized to suit specific use cases and industries, ensuring that it meets the unique requirements of each application.
- Scalability: As a cloud-based solution, RAG offers scalability and reliability, allowing it to handle varying levels of conversation volumes and adapt to changing demands. Integration: RAG can easily integrate with existing systems and platforms, including websites, mobile apps, and messaging services, enabling effortless deployment and integration into your ecosystem.
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