Alibabas Dingtalk Launches Agentos for Workplace Automation

Alibabas Dingtalk Launches Agentos for Workplace Automation

DingTalk's AgentOS aims to automate enterprise operations, leveraging AI hardware DingTalk Real for practical implementation. Its pay-per-result model disrupts traditional pricing. Key challenges include organizational acceptance and AI stability. The success hinges on seamless integration and reliable performance, requiring careful change management and robust AI infrastructure. AgentOS promises significant efficiency gains but necessitates addressing potential resistance and ensuring consistent, dependable AI-driven automation.

AI Procurement Avoiding Pitfalls for Future Success

AI Procurement Avoiding Pitfalls for Future Success

A G2 report reveals that AI is reshaping enterprise procurement, urging companies to carefully evaluate and rationally select AI solutions. Blind adoption carries high risks, necessitating clear needs, solid data foundations, and talent development. The future of AI procurement will be more intelligent, automated, and personalized. Companies need to continuously improve and optimize their strategies while strengthening risk management. This includes understanding potential biases, security vulnerabilities, and ethical considerations associated with AI implementation in procurement processes. A proactive and informed approach is crucial for successful AI adoption.

AI Platforms Coze and Dify Drive Business Automation

AI Platforms Coze and Dify Drive Business Automation

This workshop focuses on the application of AI Agents in enhancing enterprise automation efficiency. It covers Prompt Engineering, RAG knowledge base construction, hands-on practice with Coze/Dify platforms, building automated workflows with Feishu's multi-dimensional tables, and replicating 8 high-frequency scenarios such as contract review and intelligent customer service. Through systematic learning, participants will master full-stack AI agent skills and receive ROI calculation tools to facilitate AI implementation in their organizations.

Aidriven ERP Transforms Supply Chain Management

Aidriven ERP Transforms Supply Chain Management

This paper delves into how Artificial Intelligence (AI) empowers Enterprise Resource Planning (ERP) systems, reshaping the landscape of supply chain management. It analyzes the roles of AI, machine learning, and generative AI in enhancing decision-making, optimizing user experience, and driving supply chain intelligence. The study also discusses key factors for businesses to consider when selecting an ERP system or best practice solutions. Finally, it explores future trends in intelligent supply chains, highlighting the potential for increased efficiency and resilience through AI-driven optimization.

AI Transformation Strategy Guide for Enterprises

AI Transformation Strategy Guide for Enterprises

This article explores how AI empowers enterprise transformation and upgrades, covering strategy, technology, organizational change, and industry applications. It emphasizes the crucial role of the CEO in driving AI initiatives. The article also introduces relevant tools and solutions offered by BCG (Boston Consulting Group) to facilitate successful AI implementation and accelerate the transformation process. It highlights the need for a holistic approach that integrates AI into all aspects of the business, from operations to customer engagement, to achieve sustainable competitive advantage and unlock new growth opportunities.

AI Drives Autonomous Supply Chain Revolution

AI Drives Autonomous Supply Chain Revolution

This webinar delves into leveraging Artificial Intelligence (AI) and Machine Learning (ML) to build autonomous and efficient intelligent supply chain networks. Through case studies, methodology explanations, and technical interpretations, it helps businesses understand supply chain maturity models, grasp the core advantages of multi-enterprise networks, and master the key technologies of AI-empowered supply chains. Ultimately, the goal is to achieve intelligent transformation of the supply chain.

Geo Optimization Tackles AI Risks to Boost Digital Trust

Geo Optimization Tackles AI Risks to Boost Digital Trust

In the AI era, a healthy Geo ecosystem is the cornerstone of long-term enterprise growth. This article reveals the threats posed by "black hat" Geo tactics and data pollution to the AI content ecosystem. It emphasizes the importance of the E-E-A-T principle and introduces the "Two Cores + Four-Wheel Drive" Geo optimization system proposed by Mr. Yu Lei. Through case studies, it demonstrates effective paths to building digital trust and achieving high-quality customer acquisition and long-term brand value in the AI era.

Alibabas Tongyi Qianwen AI Challenges Industry Leaders

Alibabas Tongyi Qianwen AI Challenges Industry Leaders

Alibaba Cloud has released its ultra-large-scale language model, "Tongyi Qianwen," and initiated enterprise invitation testing. This model features text generation, customized services, and an innovative "toolbox" function to enhance user efficiency. Its entry is expected to intensify competition in the domestic large model market, promote the application of AI technology across various industries, and accelerate data-driven intelligent transformation. The model aims to provide comprehensive AI solutions and empower businesses with advanced language processing capabilities.

Wuyouda Group Named Zhejiangs Top Private Multinational for AI Logistics

Wuyouda Group Named Zhejiangs Top Private Multinational for AI Logistics

Wu You Da Group has been awarded the title of “Leading Enterprise” among Zhejiang's private multinational companies. Leveraging its AI-driven intelligent decision-making platform and global operations network, the group is setting new standards in cross-border logistics. Through technological innovation and resource integration, Wu You Da optimizes supply chains, helping Chinese brands expand overseas efficiently and contributing to global trade development. The company's AI capabilities enable smarter logistics solutions and improved operational efficiency across its worldwide network.

01/26/2026 Logistics
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Supply Chain Transparency Boosts Enterprise Resilience

Supply Chain Transparency Boosts Enterprise Resilience

Companies face significant supply chain transparency challenges, with data silos being a key obstacle. Digital transformation, strong supplier relationships, and regulatory compliance are crucial for overcoming these hurdles. Building a unified data platform is essential for achieving end-to-end visibility and improving decision-making. This platform can break down data silos, enabling better tracking of products, materials, and processes throughout the supply chain. Ultimately, enhanced transparency leads to greater efficiency, reduced risk, and improved sustainability.