证券代码：002987 证券简称：京北方 公告编号：2025-013 京北方信息技术股份有限公司 关于2024年度利润分配及资本公积转增股本预案的公告 根据证监会《关于进一步落实上市公司现金分红有关事项的通知》《上市公 司监管指引第 3 号——上市公司现金分红》及公司章程等规定，结合公司 2024 年度实际生产经营情况及未来发展前景，同时考虑到公司股本结构、发展规划及 股东回报等需求，公司董事会拟定 2024 年度利润分配预案如下： 以公司现有总股本 619,776,937 股为基数，向全体股东每 10 股派发现金股利 人民币 2.50 元（含税），共计派发现金股利人民币 154,944,234.25 元（含税）， 剩余未分配利润结转以后年度。同时以资本公积转增股本，每 10 股转增 4 股， 京北方信息技术股份有限公司（以下简称"公司"）于 2025 年 4 月 10 日召 开第四届董事会第九次会议和第四届监事会第六次会议，审议通过了《关于 2024 年度利润分配及资本公积转增股本预案的议案》，该议案尚需提交公司 2024 年 年度股东大会审议。 合计转增 247,910,774 股，转增股本后公司总股本增 ...

京北方（002987）公告，2024年营业收入46.36亿元，同比增长9.29%。归属于上市公司股东的净利润 3.12亿元，同比下降10.36%。公司拟向全体股东每10股派发现金红利2.5元(含税)，送红股0股(含税)，以 资本公积金向全体股东每10股转增4股。 ...

Group 1: AI Application in Banking - The adoption of private deployment of AI models by banks is increasing due to concerns over data security and privacy, leading to a significant rise in related business demands [2] - The DeepSeek model's high performance, low cost, and open-source nature have lowered the barriers for AI applications, encouraging banks to explore more use cases [2] - The company has launched several AI model service platforms and products, including intelligent investment advisory and smart risk control, to meet the growing needs of the banking sector [2] Group 2: Changes in Banking Needs - There is a shift in banks' AI application needs, moving from backend internal uses to frontend applications such as AI marketing and intelligent credit [2] - The customer base for AI applications is expanding beyond large banks to include small and medium-sized banks, indicating a broader market opportunity [2] Group 3: Company Strategy and Workforce Impact - The company plans to enhance its R&D efforts to capture more business opportunities in the AI sector, aiming to cover a wider range of applications [2] - As AI usage increases, the demand for algorithm engineers is expected to rise, while the need for junior developers may decrease, prompting a restructuring of the workforce [3] - The company is committed to optimizing its talent acquisition and training systems to improve overall team capabilities and maintain competitive advantages [3] Group 4: Specific AI Implementations - In the anti-fraud sector, the company has successfully improved model recognition rates through collaboration with banking clients, resulting in high customer satisfaction [3] - The company has implemented private models in intelligent investment advisory, enhancing operational efficiency in repetitive tasks [3] - Ongoing pilot projects in intelligent credit and smart operations are being explored to further develop AI applications in banking [3]

Summary of the Conference Call Company and Industry Involved - The conference call involved **Jingbeifang**, a company operating in the **banking and AI application** sector, particularly focusing on the deployment of AI models in banking. Core Points and Arguments 1. **AI Application in Banking**: The banking industry is increasingly adopting AI applications due to reduced trial and error costs associated with deploying AI models, particularly the V3 and RY models, which have lowered the barriers for implementation [1][2][3]. 2. **Increased Demand for AI Solutions**: There has been a notable increase in demand for AI solutions from banks, especially from smaller banks that are eager to participate in the AI arms race. This demand is expected to grow significantly following the recent initiatives from the State-owned Assets Supervision and Administration Commission [2][3]. 3. **Shift in AI Implementation**: Previously, AI applications were primarily driven by technology departments within banks. However, there is now a shift where business departments are directly involved, leading to an expansion of AI-related budgets [3]. 4. **Deepseek All-in-One Machine**: The Deepseek all-in-one machine is gaining attention as a convenient platform for deploying large AI models. The company is exploring customer interest and potential demand for this product [3][5][6]. 5. **Differentiated Demand Across Bank Types**: Large banks have already invested in computing power and are less eager for the all-in-one machine, while smaller banks show a stronger demand due to their limited computing resources [6][7]. 6. **AI's Impact on IT Budgets**: The current wave of AI adoption is expected to have a more significant impact on IT budgets compared to previous initiatives like the domestic equipment replacement trend (信创). Banks are now focusing on targeted investments that yield higher returns [11][12][15]. 7. **Business Model Evolution**: The approach to AI procurement is evolving, with banks engaging in pre-research and pilot projects before committing to larger orders. This includes a mix of framework agreements and smaller pilot projects to validate AI solutions [17][18][19]. 8. **AI's Role in Operational Efficiency**: AI is expected to enhance operational efficiency, particularly in areas like customer service and fraud detection. The company has reported improvements in model performance and operational metrics due to AI integration [30][32][33]. Other Important but Possibly Overlooked Content 1. **Personnel Changes**: The introduction of AI is likely to change the personnel structure within the company, with a potential decrease in demand for entry-level programmers but an increase in roles related to data cleaning and model tuning [25][26][27]. 2. **BPO Business Growth**: The company's business process outsourcing (BPO) services are expected to benefit from AI, leading to improved processing times and success rates in customer interactions [28][32]. 3. **Future Outlook**: The company anticipates that as AI demand stabilizes, there will be a shift in personnel needs and operational structures, potentially leading to improved profit margins and operational efficiencies [24][25][28]. This summary encapsulates the key insights from the conference call, highlighting the transformative impact of AI on the banking sector and the strategic positioning of Jingbeifang in this evolving landscape.

证券代码：002987 证券简称：京北方 公告编号：2025- 008 京北方信息技术股份有限公司 关于公司董事股份减持计划实施完成的公告 公司董事丁志鹏先生保证向本公司提供的信息内容真实、准确、完整，没有 虚假记载、误导性陈述或重大遗漏。 本公司及董事会全体成员保证公告内容与信息披露义务人提供的信息一致。 京北方信息技术股份有限公司（以下简称"公司"）于2025年1月17日披露 了《关于公司董事减持股份的预披露公告》（公告编号：2025-001），公司副董 事长丁志鹏先生（持有19,894,116股，占公司总股本的3.21%）计划自上述公告披 露之日起十五个交易日后的三个月内通过集中竞价交易方式减持其持有的公司 股份不超过2,000,000股，即不超过公司总股本的0.32%。 公司于近日收到副董事长丁志鹏先生出具的《关于股份减持计划实施完成的 告知函》，截至本公告披露日，丁志鹏先生本次股份减持计划已实施完成，现将 有关情况公告如下： 一、股东减持情况 注：丁志鹏先生本次减持的股份来源为非交易过户取得的霍尔果斯同道管理 咨询有限公司持有的股份及公司权益分派（资本公积转增股本）取得的股份，本 次减持的价格区间为 ...

京北方信息技术股份有限公司 股票交易异常波动公告 本公司及董事会全体成员保证信息披露的内容真实、准确、 完整，没有虚假记载、误导性陈述或重大遗漏。 一、股票交易异常波动的情况介绍 证券代码：002987 证券简称：京北方 公告编号：2025- 009 京北方信息技术股份有限公司（以下简称"公司"）股票（证券简称：京北 方，证券代码：002987）连续三个交易日内（2025 年 2 月 20 日、2025 年 2 月 21 日，2025 年 2 月 24 日）日收盘价格涨幅偏离值累计超过 20%，根据《深圳证券 交易所交易规则》的相关规定，属于股票交易异常波动的情形。 二、公司关注并核实情况的说明 针对公司股票交易异常波动，公司对相关事项进行了核实，现就有关情况说 明如下： 1、公司前期披露的信息不存在需要更正、补充之处； 2、公司未发现近期公共传媒报道了可能或已经对本公司股票交易价格产 生较大影响的未公开重大信息； 3、公司近期经营情况正常，内外部经营环境未发生重大变化； 4、公司、控股股东及实际控制人不存在关于公司的应披露而未披露的重大 事项，或处于筹划阶段的重大事项； 5、股票异常波动期间，公司控股股东、 ...

Group 1: Industry Trends and Company Positioning - The banking IT industry is experiencing rapid growth in AI applications due to digital transformation trends, with increasing demand from banks for AI solutions [2] - Since 2023, the company has engaged with several banks on large model business, launching multiple AI products in 2024, including AI service platforms and intelligent assistants [2] - The company aims to leverage its strong positioning with large banks to expand into more banking scenarios and processes, while also targeting small and medium-sized banks [2] Group 2: AI Product Development and Applications - The company has developed various AI products, including intelligent investment advisory, risk control, operational maintenance, office automation, and customer service applications [2][3] - Successful implementations of AI models in private banking have been achieved, enhancing business knowledge Q&A and compliance, as well as generating research reports [3] - In the intelligent credit field, the company has created pricing reports and due diligence reports, while also providing internal Q&A support for clients [3] Group 3: Client Needs and Deployment Strategies - Banks prioritize data security and privacy, often opting for private deployment of open-source large models, which presents cost considerations for clients [2] - The company is exploring various collaboration methods with clients, including private deployment combined with software application integration [2] - The company has established a solid and diverse client base, leveraging its extensive experience in banking IT services to meet client needs effectively [3]

Group 1 - The stock of Jingbeifang increased by 4.76% with a turnover rate of 16.78% and a trading volume of 2.208 billion yuan, showing a fluctuation of 16.91% throughout the day [1] - Institutional investors net bought 131 million yuan, while the Shenzhen Stock Connect recorded a net sell of 40.9793 million yuan, and the total net sell from brokerage seats was 101 million yuan [1] - The top five brokerage seats accounted for a total transaction of 545 million yuan, with a buying amount of 267 million yuan and a selling amount of 278 million yuan, resulting in a net sell of 11.8115 million yuan [1] Group 2 - As of February 20, the latest margin trading balance for the stock was 304 million yuan, with a financing balance of 303 million yuan and a securities lending balance of 1.7716 million yuan [2] - Over the past five days, the financing balance decreased by 7.2027 million yuan, representing a decline of 2.33%, while the securities lending balance increased by 0.7730 million yuan, showing a growth of 77.40% [2]

Investment Rating - The report initiates coverage with a "Buy" rating for the company [6]. Core Insights - The company is a leading digital transformation service provider in the financial technology sector, focusing on IT services and business process outsourcing for financial institutions, particularly state-owned and joint-stock commercial banks [2][13]. - The rapid development of AI and large model technologies is significantly impacting the fintech industry, with banks increasingly adopting these technologies to enhance their digital transformation efforts [3][26]. - The company has launched an AI large model service platform and several key products, which are already being implemented across various sectors, including banking and healthcare [29][30]. Summary by Sections 1. Company Overview - The company specializes in providing IT services and business process outsourcing, primarily to financial institutions, and has a strong focus on digital transformation [2][13]. - In the first half of 2024, revenue from the banking sector accounted for 86.20% of total revenue, highlighting the company's strong client base in this area [2][23]. 2. AI and Large Model Adoption - The banking sector is rapidly embracing AI and large model technologies, which are becoming essential for digital transformation [3][26]. - The company has integrated the DeepSeek large model into its offerings, enhancing its AI product matrix and enabling clients to achieve breakthroughs in various applications [29][30]. 3. Financial Performance and Projections - The company forecasts revenues of 45.00 billion, 48.99 billion, and 53.35 billion yuan for 2024, 2025, and 2026, respectively, with growth rates of 6.08%, 8.87%, and 8.89% [4][38]. - The projected net profit for the same years is 3.13 billion, 3.48 billion, and 3.97 billion yuan, with a notable increase in 2025 and 2026 [4][38]. 4. Market Position and Competitive Landscape - The company is positioned favorably against comparable firms in the banking IT sector, with a projected PE ratio of 35 for 2025, significantly lower than the industry average of 68 [4][42]. - The report emphasizes the importance of the financial sector in the national strategy for information technology innovation, indicating a supportive regulatory environment for the company's growth [31][36].

Group 1: AI Application in Financial Industry - DeepSeek's high performance and low-cost advantages significantly promote AI application in the financial sector [3] - Major banks are the core clients of the company, showcasing a strong partnership in exploring and applying cutting-edge technologies [3] - The company has launched several AI model service products, including an AI model service platform and intelligent asset management assistant [3] Group 2: Changes in IT Architecture - DeepSeek will bring three main changes: the trend towards open-source, private deployment, and improved application effects [4] - The demand for private deployment is driven by banks' strict data security requirements, leading to a shift from technology-driven to business-driven needs [4] - Large banks may adopt centralized platforms for computing power, while smaller banks will balance model development time and computing investment [4] Group 3: AI Integration in BPO and Call Center Services - The company aims to leverage AI in call center operations, enhancing intelligent customer service and marketing effectiveness [5] - AI integration in call centers is expected to lead to cost reduction and efficiency improvement [5] - The growth of ITO and BPO services is anticipated to continue alongside advancements in AI technology [6] Group 4: Model Tuning and Value - Model tuning has shown significant value, with initial accuracy rates improving from 25% to 55-60% after six months of adjustments [7] - The complexity of model tuning requires deep understanding and experience, creating a competitive advantage for the company [7] Group 5: IT Spending Trends in Banking - The overall IT spending in the banking sector is expected to shift towards AI and data technologies as digital transformation progresses [8] - Banks are likely to adjust their budgets mid-year based on technological advancements and application needs, with a focus on AI investments [8]