证券代码：002987 证券简称：京北方 公告编号：2025-020 京北方信息技术股份有限公司 关于召开2024年年度股东大会的通知 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。 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审议通过了《关于提请召开 2024 年年度股东大会的 议案》，决定于 2025 年 5 月 6 日召开公司 2024 年年度股东大会。现将具体事项 通知如下： 一、召开会议的基本情况 1、股东大会届次：2024 年年度股东大会。 2、股东大会的召集人：公司董事会。本次股东大会由公司第四届董事会第 九次会议决议召开。 3、会议召开的合法性、合规性：本次股东大会的召集、召开符合《公司法》 《证券法》《上市公司股东大会规则》《深圳证券交易所股票上市规则》《深圳 证券交易所上市公司规范运作指引》等有关法律、行政法规、部门规章、规范性 文件和《公司章程》的规定。 4、会议召开的日期、时间： （1）现场会议召开时间：2025 年 5 月 6 日（星期二）14:30 （2）网络投票时间： ...

第四届监事会第六次会议决议公告 证券代码：002987 证券简称：京北方 公告编号：2025-012 京北方信息技术股份有限公司 本公司及监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、监事会会议召开情况 京北方信息技术股份有限公司（以下简称"公司"）于 2025 年 3 月 31 日以 电子邮件和电话通知方式，发出了关于召开公司第四届监事会第六次会议的通知， 本次会议于 2025 年 4 月 10 日在公司七层会议室以现场会议方式召开。会议应出 席监事 3 人，实际出席监事 3 人。会议由监事会主席王岩女士主持。本次会议的 召集、召开程序符合《中华人民共和国公司法》等相关法律、行政法规、部门规 章、规范性文件和《公司章程》的相关规定。 二、监事会会议审议情况 1、审议通过《关于公司 2024 年年度报告及其摘要的议案》； 经审核，监事会认为董事会编制和审议公司 2024 年年度报告的程序符合法 律、行政法规及中国证监会的规定，报告内容真实、准确、完整地反映了公司的 实际情况，不存在任何虚假记载、误导性陈述或者重大遗漏。 具体内容详见公司同日于巨潮资讯网（www. ...

第四届董事会第九次会议决议公告 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、董事会会议召开情况 京北方信息技术股份有限公司（以下简称"公司"）于 2025 年 3 月 31 日以 电子邮件和电话通知方式，发出了关于召开公司第四届董事会第九次会议的通知， 本次会议于 2025 年 4 月 10 日在公司七层会议室以现场结合通讯方式召开。会议 由公司董事长费振勇先生主持，应出席董事 9 人，实际出席董事 9 人，公司全体 监事及高级管理人员列席了会议。本次会议的召集、召开程序符合《中华人民共 和国公司法》等相关法律、行政法规、部门规章、规范性文件和《公司章程》的 相关规定。 二、董事会会议审议情况 1、审议通过《关于公司 2024 年年度报告及其摘要的议案》； 具体内容详见公司同日于巨潮资讯网（www.cninfo.com.cn）披露的《京北方 信息技术股份有限公司 2024 年年度报告》及《京北方信息技术股份有限公司 2024 年年度报告摘要》（公告编号：2025-010）。 该议案已经审计委员会审议通过。 证券代码：002987 证券简称：京北方 公告 ...

Financial Performance - The company's operating revenue for 2024 reached ¥4,636,169,749.19, representing a 9.29% increase compared to ¥4,242,011,130.87 in 2023[16] - The net profit attributable to shareholders decreased by 10.36% to ¥311,624,534.00 from ¥347,627,140.82 in the previous year[16] - The net profit after deducting non-recurring gains and losses was ¥304,165,695.73, down 7.48% from ¥328,763,099.69 in 2023[16] - Basic earnings per share decreased by 10.71% to ¥0.50 from ¥0.56 in the previous year[16] - Total assets at the end of 2024 were ¥3,379,648,532.26, a 9.98% increase from ¥3,072,875,390.74 in 2023[16] - The net assets attributable to shareholders increased by 10.30% to ¥2,808,260,514.28 from ¥2,546,110,980.81 in 2023[16] - The company reported a total of ¥7.46 million in non-recurring gains for 2024, a decrease from ¥18.86 million in 2023, primarily due to changes in government subsidies and other non-operating income[23] - The company achieved a revenue of 4.636 billion yuan in 2024, representing a year-on-year growth of 9.29%[42] - Net profit attributable to shareholders was 312 million yuan, indicating a solid financial performance[42] Cash Flow and Investments - Cash flow from operating activities significantly increased by 99.25% to ¥261,074,555.54, compared to ¥131,025,530.94 in 2023[16] - The company reported a net cash flow from operating activities of ¥261,074,555.54, a significant increase of 99.25% compared to the previous year[76] - Total cash inflow from operating activities reached ¥4,979,806,940.09, reflecting a year-on-year growth of 15.07%[76] - The investment activities resulted in a net cash outflow of ¥13,546,064.63, a decline of 120.00% compared to the previous year[76] - The company’s cash flow from financing activities showed a net outflow of ¥74,383,307.85, which is an increase of 65.39% compared to the previous year[77] Revenue Segmentation - Revenue from the banking sector was ¥3,969,180,497.71, accounting for 85.62% of total revenue, with a growth of 7.21% compared to the previous year[56] - Non-banking financial services revenue increased by 23.42% to ¥366,342,313.92, representing 7.90% of total revenue[56] - The software and IT solutions segment generated 3.007 billion yuan, accounting for 64.87% of total revenue, with a growth rate of 9.41% in the financial technology solutions product line[43] - Revenue from artificial intelligence and big data innovation products reached 80 million yuan, with a significant growth rate of 65.29%[43] Operational Efficiency and Costs - Operating costs for 2024 totaled ¥3,597,885,283.96, with a year-on-year increase of 10.61%[60] - Labor costs comprised 97.70% of total operating costs, amounting to ¥3,515,203,313.70, reflecting an 11.10% increase from the previous year[64] - The company experienced seasonal fluctuations in revenue, with higher demand typically observed towards the end of the year[57] Research and Development - Research and development (R&D) expenditure amounted to ¥427,131,842.25, representing an increase of 8.43% from the previous year[74] - The number of R&D personnel increased to 2,113, a rise of 5.49% compared to 2,003 in the previous year[74] - The company has established a comprehensive training system covering management concepts, industry knowledge, and job skills[153] Strategic Partnerships and Market Position - The company has established long-term partnerships with over 550 legal entities, including more than 400 financial institutions, covering various licensed financial sectors[31] - The company aims to deepen cooperation with major state-owned banks while expanding its services to small and medium-sized banks and non-bank financial institutions[107] - The company is exploring new business models, such as AI-integrated solutions, to provide customized AI solutions for different clients[108] Governance and Shareholder Engagement - The company is committed to enhancing shareholder value through strategic stock distributions and management incentives[123] - The annual shareholders' meeting had a participation rate of 61.99% on May 7, 2024, while the first extraordinary shareholders' meeting of 2024 had a participation rate of 62.09% on November 15, 2024[121] - The company has appointed independent directors to ensure governance and oversight, with several serving in multiple capacities across different organizations[136] Future Outlook and Risk Management - The company has outlined potential risk factors and countermeasures in its future development outlook section[4] - The company plans to continue its market expansion and product development strategies, although specific details were not disclosed in the report[84] - The company faces market competition risks due to the growing scale of the financial IT market and increasing competition from new entrants[109] Compliance and Internal Control - The company is committed to maintaining compliance with relevant laws and regulations, enhancing governance and decision-making processes[143] - The internal control audit report indicates that the company maintained effective financial reporting internal controls as of December 31, 2024[168] - The company has established a comprehensive governance structure and internal control system to protect shareholder rights, ensuring fair treatment of all shareholders[172]

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、 ...