高级分析和人工智能实践 

Data, 分析, and artificial intelligence can create significant value for financial institutions, 首先关注运营中的生产力, 市场营销, 软件工程. 在环球经济集团, we believe harnessing the potential of AI responsibly is no longer a choice but a necessity for sustainable success. Our 先进的分析 and AI advisory practice is dedicated to helping banks unlock the potential of AI across all aspects of their business while mitigating associated risks and ensuring responsible implementation. 

我们的服务包括: 

风险管理及管治 

The financial services industry faces a dynamic regulatory landscape surrounding AI use. Strong governance ensures compliance with existing and evolving regulations, 保护银行免受法律和经济处罚, including defining clear risk and governance pathways that are commensurate with the risk of the proposed AI solution. 

• 人工智能风险评估和缓解: 我们识别并解决与人工智能相关的潜在风险, 比如模型偏差, explainability, 安全漏洞. 
• 人工智能治理和风险框架: 实现健壮的数据治理:确保数据质量, 隐私, and security is essential for reliable AI results and compliance with regulations. 
• 负责人工智能: We work with you to establish a robust governance framework for responsible and ethical AI use, 确保遵守法规. 
• AI风险生命周期管理: 我们关注的是识别, 测量, 管理, and mitigation of risks associated with AI while promoting innovation and research across the lifecycle. 
• AI风险与控制: We design and develop risk and controls around your responsible AI framework, 关注整个生命周期的关键风险.  
• 可解释性和透明度: We design strategies to enhance the explainability and transparency of your AI models, 与利益相关者和监管机构建立信任. 
• 模型验证与测试: We help institutions implement continuous model validation and testing 流程 to ensure long-term accuracy and 公平. 
• 将负责任的人工智能实践融入企业文化; Building a 文化 of ethical AI 使用 throughout the organization minimizes risks and promotes responsible innovation. 
• 实现健壮的数据治理: 确保数据质量, 隐私, and security is essential for reliable AI results and regulation compliance. 

策略指引及规划 

Financial institutions can realize value from implementing AI solutions in numerous ways. These solutions can impact various aspects of their operations and ultimately contribute to improved financial performance, 增强客户体验, 更好的风险管理. 

• 机会评估和优先排序: We identify where AI can add value across your entire value chain, from client identification and onboarding to credit risk and fraud detection to client service and 市场营销. 
• 人工智能运营模式: The AI operating model must support the AI community with a fit-for-purpose organizational structure, 人工智能策略, 技术和数据能力, 培训, 沟通, 以及董事会层面的协调. 
• 量身定制的战略发展: We collaborate with you to create a data-driven 人工智能策略 aligned with your business goals, 风险偏好, 监管环境. 
• 可行性研究: 我们评估技术可行性, 商业可行性, and potential impact of specific AI applications to guide informed decision-making. 

用例推进和企业支持  

Financial institutions must develop key capabilities across different areas to effectively leverage AI and implement specific use cases, 包括领导, 文化, 改变, 人才, data, 基础设施, 和方法论. 

• 用例管理 – Identify and prioritize use cases that have both near-term value and can establish the foundational data and capabilities for the program. 
• 模型验证: Our expert team validates AI models for specific use cases, 注重准确性, 公平, 和explainability. 
• 部署和监控: We help define and implement the appropriate 流程 and tools to support your AI models’ deployment and ongoing 监控, 优化性能，降低偏差风险. 
• 变更管理: We help you navigate organizational 改变 associated with AI adoption, 解决问题, 建立员工的支持. 
• 培训及发展: We provide comprehensive 培训 to your staff on AI concepts, 好处, 和局限性, empowering them to work effectively with AI-powered solutions. 
• 沟通和参与: We develop 沟通 strategies to educate stakeholders about your AI initiatives and their impact on the bank’s operations. 
• 供应商尽职调查: We help you evaluate and select reliable and trustworthy AI vendors. 

数据管理与分析 

在今天这个数据驱动的世界里, information is no longer just power – it’s the key to unlocking growth, 效率, 以及竞争优势. 但是有大量的数据在你的指尖, how do you extract meaningful insights and translate them into actionable strategies? 

• 数据集成与摄取: We help institutions leverage next-generation data 管理 technologies to design and build the foundational environment to support advanced 分析 and AI, 包括ETL处理, 标准化和协调, 数据清理和准备, 自动化数据管道 
• 数据质量和治理: 管理数据质量至关重要, 我们可以帮助建立度量标准, 流程, 以及确保数据准确性的工具, 完整性, 和一致性, 包括所有权, 使用, 监控, 以及数据资产的生命周期管理 
• 数据访问和探索: A critical component of advanced data 管理 environments is more self-service, 我们可以帮你整理数据目录, 元数据管理, and data visualization tools that help the business create more value from data 
• 高级数据管理服务: We can help you transform your data 管理 基础设施 to ensure consistency of core data elements, handle complex and diverse data structures for advanced 分析, and implement policies and tools to comply with 隐私 rules and protect sensitive data. 
• 高级数据分析: 探索各种技术来发现隐藏的见解, 包括预测建模, which forecasts future outcomes and anticipates trends; data visualization to communicate complex information clearly and effectively and support a data-driven decision process through dashboards, 报告, 分析模型 

通过开发正确的能力和实践, financial institutions can create a solid foundation for leveraging AI effectively and implementing specific use cases that deliver tangible value and support their long-term strategic goals. 人工智能不是灵丹妙药, 它的成功实施需要周密的规划, 投资, 以及对负责任行为的承诺. 

为什么选择环球经济集团? 

• 深厚的行业经验: We understand the unique challenges and opportunities in the AI era. 
• 业绩证明: We have a successful history of helping financial services companies leverage data, 分析, 技术, 以及人工智能的竞争优势. 
• 合作方式: We work closely with you to tailor our services to your needs and risk profile. 
• 专注于负责任的AI: We are committed to helping you harness the power of AI ethically and responsibly.