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Artificial intelligence has entered the practical stage, and enterprises no longer discuss the question of "why" when facing AI, but actively explore "how" and "what" to do. Enterprises are no longer satisfied with single point intelligence, but more need intelligent capabilities that can connect the whole world and collaborate efficiently. Six intelligent assistants, in response to this profound demand, deeply integrate artificial intelligence technology into the core value chain of enterprises, promote business process reengineering and model innovation. The six major intelligent assistants mainly include the following values:
R&D Assistant: AIGC assists in automatic code generation, intelligent completion, and efficient construction of test cases, significantly shortening the development cycle and allowing the R&D team to focus on core innovation, unleashing R&D productivity.
Production assistant: Combining high-quality basic models with high-quality data, deeply mining the value of data, significantly improving product yield and production stability, and promoting the comprehensive upgrade of manufacturing accuracy and process control level.
Supply Assistant: A powerful AI solver that empowers the supply chain to quickly respond to demand fluctuations, intelligently optimize logistics transportation routes, dynamically balance inventory levels, and create an agile and resilient supply chain.
Sales assistant: Using cutting-edge predictive algorithms to accurately predict store ordering needs, and conducting in-depth analysis of customer flow characteristics and conversion paths, igniting a new engine for performance growth.
Service Assistant: Build an enterprise level knowledge graph, lead the user experience to evolve again through efficient and accurate Q&A of intelligent customer service, and rapid response of intelligent fault diagnosis.
Business assistant: Dialogue is the answer, innovating information acquisition methods, empowering employees to double efficiency, and enabling managers to make precise decisions.
The six intelligent assistants do not exist in isolation, but achieve deep collaboration through unified data and AI platforms. At present, intelligent assistants have been implemented in industries such as automotive, electronics, retail, and pharmaceuticals. In the future, Huawei will continue to deepen its technology and collaborate with ecosystem partners to create more scenario based solutions in the manufacturing field, helping global enterprises accelerate their digital transformation.
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