and Artificial Intelligence
Advanced Analytics and Artificial Intelligence Practice
Data, analytics, and artificial intelligence can create significant value for banks, focusing initially on productivity in operations, marketing, and software engineering. At Global Economics Group, we believe harnessing the potential of AI responsibly is no longer a choice but a necessity for sustainable success. Our Advanced Analytics 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.
Our services include:
Risk Management and Governance
The financial services industry faces a dynamic regulatory landscape surrounding AI use. Strong governance ensures compliance with existing and evolving regulations, protecting the bank from legal and financial penalties, including defining clear risk and governance pathways that are commensurate with the risk of the proposed AI solution.
- AI Risk Assessment and Mitigation: We identify and address potential risks associated with AI, such as model bias, explainability, and security vulnerabilities.
- AI Governance and Risk Framework: Implementing robust data governance: Ensuring data quality, privacy, and security is essential for reliable AI results and compliance with regulations.
- Responsible AI: We work with you to establish a robust governance framework for responsible and ethical AI use, ensuring compliance with regulations.
- AI Risk Lifecycle Management: We focus on the identification, measurement, management, and mitigation of risks associated with AI while promoting innovation and research across the lifecycle.
- AI Risk and Controls: We design and develop risk and controls around your responsible AI framework, focusing on key risks across the lifecycle.
- Explainability and Transparency: We design strategies to enhance the explainability and transparency of your AI models, building trust with stakeholders and regulators.
- Model Validation and Testing: We help institutions implement continuous model validation and testing processes to ensure long-term accuracy and fairness.
- Embedding responsible AI practices in the culture: Building a culture of ethical AI usage throughout the organization minimizes risks and promotes responsible innovation.
- Implementing robust data governance: Ensuring data quality, privacy, and security is essential for reliable AI results and regulation compliance.
Strategic Guidance and Planning
Banks can realize value from implementing AI solutions in numerous ways, impacting various aspects of their operations and ultimately contributing to improved financial performance, enhanced customer experience, and better risk management.
- Opportunity Assessment and Prioritization: We identify where AI can add value across your entire value chain, from client identification and onboarding, credit risk, and fraud detection to client service and marketing.
- AI Operating Model: The AI operating model needs to support the AI community with a fit-for-purpose organizational structure, AI strategy, technology and data capabilities, training, communication, and board-level alignment.
- Tailored Strategy Development: We collaborate with you to create a data-driven AI strategy aligned with your business goals, risk appetite, and regulatory landscape.
- Feasibility Studies: We assess the technical feasibility, business viability, and potential impact of specific AI applications to guide informed decision-making.
Use Case Advancement and Enterprise Enablement
Banks must develop key capabilities across different areas to effectively leverage AI and implement specific use cases, including leadership, culture, change, talent, data, infrastructure, and methodology.
- Use Case Management – Identify and prioritize use cases that have both near-term value and can establish the foundational data and capabilities for the program.
- Model Validation: Our expert team validates AI models for specific use cases, focusing on accuracy, fairness, and explainability.
- Deployment and Monitoring: We help define and implement the appropriate processes and tools to support your AI models’ deployment and ongoing monitoring, optimizing performance and mitigating bias risks.
- Change Management: We help you navigate organizational change associated with AI adoption, addressing concerns, and building employee buy-in.
- Training and Development: We provide comprehensive training to your staff on AI concepts, benefits, and limitations, empowering them to work effectively with AI-powered solutions.
- Communication and Engagement: We develop communication strategies to educate stakeholders about your AI initiatives and their impact on the bank’s operations.
- Vendor Due Diligence: We help you evaluate and select reliable and trustworthy AI vendors.
Data Management and Analytics
In today’s data-driven world, information is no longer just power – it’s the key to unlocking growth, efficiency, and a competitive edge. But with vast amounts of data at your fingertips, how do you extract meaningful insights and translate them into actionable strategies?
- Data Integration and Ingestion: We help institutions leverage next-generation data management technologies to design and build the foundational environment to support advanced analytics and AI, including ETL processing, standardization and harmonization, data cleansing and prep, and automated data pipelines
- Data Quality and Governance: Managing data quality is critical, and we can help establish the metrics, processes, and tools to ensure data accuracy, completeness, and consistency, including ownership, usage, monitoring, and lifecycle management of data assets
- Data Access and Exploration: A critical component of advanced data management environments is more self-service, and we can help with data catalogs, metadata management, and data visualization tools that help the business create more value from data
- Advanced Data Management Services: We can help you transform your data management infrastructure to ensure consistency of core data elements, handle complex and diverse data structures for advanced analytics, and implement policies and tools to comply with privacy rules and protect sensitive data.
- Advanced data analytics: Explore various techniques to uncover hidden insights, including predictive modeling, 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, reporting, and analytical models
By developing the right capabilities and practices, banks 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. AI is not a magic bullet, and its successful implementation requires careful planning, investment, and a commitment to responsible practices.
Why Choose Global Economics Group?
- Deep Industry Expertise: We understand banks’ unique challenges and opportunities in the AI era.
- Proven Track Record: We have a successful history of helping banks leverage data, analytics, technology, and AI for competitive advantage.
- Collaborative Approach: We work closely with you to tailor our services to your needs and risk profile.
- Focus on Responsible AI: We are committed to helping you harness the power of AI ethically and responsibly.