Group 1 - The core viewpoint of the article emphasizes the integration of AI with Business Intelligence (BI), termed as AI-enabled BI (ABI), which transforms traditional decision-making processes into proactive, predictive models, addressing the limitations of conventional BI systems [1][14][18]. - The ABI market in China is experiencing explosive growth, with a projected increase from 300 million yuan in 2023 to 800 million yuan in 2024, reflecting a compound annual growth rate of 42% from 2024 to 2028 [3][22][23]. - ABI is being applied across various industries, including finance, retail, manufacturing, government, and energy, showcasing its versatility and effectiveness in enhancing operational efficiency and decision-making [4][5][6][7]. Group 2 - The article outlines four key breakthroughs of AI-enabled BI: natural language interaction, multimodal data integration, complex reasoning and collaboration, and data insight narrative generation, which collectively enhance user experience and analytical capabilities [2][49][52]. - Challenges facing ABI include data governance issues, algorithm opacity, and industry adaptation gaps, which need to be addressed for further advancement [7][9]. - The differentiation between domestic and international vendors is highlighted, with international companies focusing on technical depth and ecosystem integration, while domestic firms prioritize lightweight deployment and localized innovation [8][9].

Core Insights - The report highlights the limitations of traditional Business Intelligence (BI) systems, which struggle to meet the demands for real-time and dynamic decision-making due to their closed architectures and static processing capabilities [1][21][24] - The integration of Artificial Intelligence (AI) with BI, termed Artificial Intelligence and Business Intelligence (ABI), is driving a shift from reactive to proactive decision-making, with ABI expected to experience explosive growth in China, reaching a market size of 800 million yuan in 2024 and a CAGR of 42% from 2024 to 2028 [1][11][13] - Key drivers for ABI growth include deepening enterprise reliance on data, breakthroughs in AI technology, and supportive policies [1][11] Industry Overview - ABI leverages technologies such as Natural Language Processing (NLP) and machine learning to enable conversational interactions, multimodal data analysis, and complex reasoning, enhancing decision-making across various sectors including finance, retail, manufacturing, government, and energy [2][3] - The financial sector utilizes ABI for intelligent risk control and quantitative trading, while retail benefits from dynamic pricing and inventory optimization [2][3] - Manufacturing employs predictive maintenance and process optimization to reduce downtime, and government sectors enhance service efficiency through smart traffic and urban governance [2][3] Market Dynamics - The ABI market in China is projected to grow from 300 million yuan in 2023 to 800 million yuan in 2024, driven by the increasing complexity of decision-making needs and the inadequacies of traditional BI tools [1][11][13] - ABI's core challenges include data governance lag, algorithm opacity, fragmented scenarios, and high technical costs, with future trends focusing on edge computing, real-time analysis, generative AI penetration, and privacy computing technologies [3][11] Technological Advancements - ABI employs advanced techniques such as Text2SQL and Text2DSL to convert natural language into data queries, enhancing the depth of analysis through external knowledge integration and multi-agent collaboration [2][3][30] - The integration of AI allows for the automation of data processing, significantly improving efficiency and enabling strategic decision-making by providing deeper insights and optimizing resource allocation [40][42] Future Outlook - The ABI landscape is evolving towards democratization and intelligence, reshaping the decision-making paradigm driven by data within enterprises [3][11] - Major global players like Microsoft and Salesforce focus on ecosystem integration, while domestic firms like Alibaba Cloud and Fanruan emphasize lightweight deployment and localized innovation [3][11]