On November 6, Schneider Electric Business Value Research Institute and IBM jointly released the AI insight report "AI for GREEN - Scenario-driven AI applications to achieve enterprise value leapfrog" at the 7th China International Import Expo (referred to as the "CIIE"). ” (referred to as the “Report”) clearly outlines the all-round value of AI applications and provides systematic guidance for enterprises on how to achieve AI transformation based on actual scenarios. Xiao Wengao, deputy secretary of the Putuo District Committee and District Mayor of Shanghai; Lin Lan, IBM consulting partner and general manager of the Greater China Big Data and Artificial Intelligence Division; Schneider Electric senior vice president, head of strategy and business development China, and business value research Xiong Yi, Dean of the Institute, Zhang Lei, Vice President of Schneider Electric and Head of Digital Innovation Business China, Gu Yue, Vice President of Schneider Electric, Head of Marketing Department of China and East Asia and Co-Director of the Business Value Research Institute, etc., jointly participated in this event Release of the report.
The report found that enterprises’ expectations for the value of AI are changing from one-dimensional to three-dimensional, forming three significant trends. First of all, it has expanded from focusing only on the commercial benefits of AI to paying more and more attention to social and environmental value; secondly, the value orientation has shifted from macro decision-making to micro-individuals, paying more attention to how AI affects and optimizes the experience of each user; thirdly, from the pursuit of AI Bringing short-term rapid growth to paying more attention to long-term value leaps.
Based on this, the report proposes an AI value proposition - AI for GREEN, believing that enterprises can achieve five major values through the application of AI technology: business value growth (Growth), reliability and resilience (Reliability), efficiency and satisfaction (Efficiency), and availability. Sustainable development (Environment) and new business model (New Horizon).
Zhang Lei said: "AI is shifting from technology-oriented to value-oriented. For enterprises, the value of AI has extended from point to point. It can not only simplify existing R&D and operation processes, reduce costs and increase efficiency, but more importantly, it can subvert Traditional business models create new business operations.”
Of course, AI can only truly exert multiple values with the support of "scenarios". The report points out that scenarios are the "exercise ground", "data source" and "innovation ground" for AI technology. To tap the full value of AI, companies should not just start with the technology itself, but start with business scenarios and drive AI with actual needs. development of productive forces.
To this end, the report aims to realize large-scale AI applications, and summarizes the implementation path of AI transformation for enterprises from 0 to 1, and from 1 to N, and summarizes it into four major steps to draw a panoramic view of transformation centered on scenarios. First, unify the consensus and plan the whole picture. Unify AI strategic consensus through cross-team communication. Use the "GREEN" value framework to comprehensively sort out business processes, draw a full picture of enterprise AI scenarios, clarify the direction of AI empowerment, reduce trial and error costs, and increase the probability of success. Secondly, focus on the scene and run quickly in small steps. Through technical feasibility, resource investment and risk assessment, we screen implementation scenarios, form cross-department project teams, and conduct agile iterations to ensure efficient implementation and continuous improvement of AI projects. Again, data is precipitated to build barriers. Establish efficient data processing pipelines and strict data governance mechanisms, accumulate high-quality data, collaborate as a team, and jointly mine unique knowledge within the enterprise, gradually build an enterprise knowledge base, and form future core competitiveness. Finally, all employees innovate. Bridge the gap between business and technological knowledge, continue to improve the business team's AI awareness, introduce efficient development tools, lower the technical threshold, stimulate the participation and creativity of all employees, and achieve large-scale AI empowerment.