Core Insights - The "FORCE LINK AI Innovation Tour" successfully took place in Wuhan, focusing on the application of cutting-edge technology products in regional markets, attracting nearly a thousand participants from various sectors including manufacturing, finance, internet, and retail [1] - The event featured the release of the "2025 Data Intelligence Agent Practice Guide," which provides a theoretical foundation and practical reference for enterprises to advance their AI capabilities [1] - A unique data intelligence evaluation system was introduced, integrating national-level think tank frameworks with extensive practical validation, aimed at offering standardized assessment tools for enterprises [1] Company Developments - The launch of the "User Research Agent" at the "Data+AI Closed-Door Meeting" represents an important expansion of the data intelligence product matrix, designed to assist enterprises in making precise business decisions [2] - The User Research Agent includes core functionalities such as group deep analysis, AI virtual user research, and multi-element material intelligent evaluation, enabling actionable strategy recommendations for business growth [2] - A new generation multimodal data lake solution was showcased, addressing the rapid growth of unstructured data and providing a robust foundation for enterprises to build AI-native data capabilities [2] Industry Trends - The tour highlighted that core technologies like data intelligence agents and multimodal data lakes are transitioning from concept validation to tangible productivity across various industry scenarios [3] - Continuous product iteration, solution innovation, and ecosystem co-construction by the company are providing a one-stop, actionable path for intelligent upgrades across industries [3] - The integration of cloud intelligence as a new generation infrastructure is becoming crucial for enterprises to seize opportunities in the digital age and build sustainable competitive advantages [3]

Group 1 - The seminar hosted by Volcano Engine and NVIDIA focused on the new opportunities in the embodied intelligence industry driven by large models, attracting over 50 executives, technical experts, and investors from various fields [1] - Zhang Xin, Vice President of Volcano Engine, highlighted that 2025 will be the year of practical applications for intelligent agents, with embodied intelligence becoming a focal point for the industry [2] - The spending on generative artificial intelligence is projected to grow over six times in 2024 compared to 2023, with vertical AI fields experiencing a twelvefold increase, indicating an accelerated trend in the large model industry [4] Group 2 - The development of embodied intelligence is transitioning from Robot 1.0 to Robot 3.0, where the integration of large models with robots is expected to comprehensively reconstruct the overall system capabilities of perception, decision-making, and control [4] - Volcano Engine's multi-modal data lake solution addresses challenges in data heterogeneity, high-quality data acquisition, and the lack of professional data infrastructure, establishing a complete data processing and management system [5] - A leading domestic intelligent driving company improved model training speed by 1.5 times and increased GPU resource utilization from 30% to 95% using the LAS Lance + EMR Ray technology architecture, significantly reducing overall costs [7] Group 3 - Zhang Xin emphasized that the development of embodied intelligence requires not only technological innovation but also organizational transformation to foster creativity and agile iteration [8] - Volcano Engine aims to deepen collaboration with ecosystem partners to provide comprehensive technical support for the embodied intelligence industry through large model technology and multi-modal data lake infrastructure [8] - The successful seminar showcased Volcano Engine's technical strength in large models and data infrastructure, creating a platform for deep communication and collaboration within the industry [8]

Core Insights - The recent FORCE conference in Beijing showcased the launch of new AI models by Volcano Engine, including the Doubao Model 1.6 and Seedance 1.0 pro, highlighting advancements in multimodal interaction and content generation capabilities [2][3] - The global AI model market is highly competitive, with Volcano Engine's new models standing out due to their comprehensive multimodal capabilities and cost-effective pricing strategies [2][3] Product Launches - Doubao Model 1.6 supports multimodal understanding and graphical interface operations, excelling in complex reasoning and multi-turn dialogue tasks, ranking among the top globally [3] - Seedance 1.0 pro generates high-quality 1080P videos with seamless transitions and has achieved top rankings in international assessments for video generation tasks [4] Industry Applications - In the automotive sector, Mercedes-Benz has partnered with Volcano Engine to enhance its smart cabin information retrieval and system response speed using the Doubao model [8] - In finance, Haier Consumer Finance has implemented a tailored large model to meet over 90% of intelligent scenario needs, significantly improving operational efficiency and reducing risks [8] - In education, collaborations with top universities have led to the development of AI applications that enhance research efficiency and quality [9] Technological Innovations - Volcano Engine has introduced an Agent development suite that innovates the entire lifecycle of AI Agent development, enhancing user intent parsing and instruction optimization [5] - The launch of a multimodal data lake solution addresses challenges in data processing, improving resource efficiency and compatibility with various systems [6] - AICC's secure computing technology enhances AI security and privacy, reducing data leakage risks through hardware-protected environments [7] Future Trends - The development of intelligent Agents is expected to drive digital transformation in enterprises, with trends indicating deeper multimodal integration and enhanced autonomous learning capabilities [12][14] - Gartner predicts that by 2028, at least 15% of daily work decisions will be made using Agentic AI, highlighting the growing importance of intelligent Agents in business [12]