How to optimize and accelerate credit analytics with GenAI
Generative AI (GenAI) is transforming the financial services industry, driving innovation, efficiency and cost savings across various domains. By integrating GenAI into their operations, financial institutions can better respond to rapidly changing environments. GenAI is reshaping financial services from customer engagement to compliance, leading to streamlined operations and enhanced decision-making.
The strategic role of GenAI in financial services
Adopting GenAI in financial services is now a strategic imperative. A 2024 McKinsey report (The State of AI in 2024) notes more than a 10% revenue increase for companies using GenAI. As institutions strive to stay competitive, GenAI provides powerful tools to enhance customer experiences, optimize operations, accelerate regulatory compliance, and expedite coding and software development.
Key areas where GenAI is making an impact
Enhanced customer engagement
Financial institutions use GenAI to offer personalized products and services. By analyzing real-time customer data, GenAI enables tailored recommendations, boosting satisfaction and retention.
Streamlining and optimizing operations
GenAI automates tasks like data entry and transaction monitoring, freeing up resources for strategic activities. This accelerates workflows and reduces errors. Further, GenAI-driven efficiency directly cuts costs. By automating processes and optimizing resources, institutions can lower overhead and invest more in innovation. Deloitte’s Q2 2024 study found AI automation reduced processing times by up to 60% and operational costs by 25%.
Accelerating regulatory compliance
GenAI simplifies compliance by automating data collection, analysis and reporting. This ensures regulatory adherence while minimizing risks and penalties. According to a 2024 Thomson Reuters survey, AI-driven compliance reduced reporting times by 40% and costs by 15%.
Developer coding support for efficiencies
GenAI is an invaluable tool for programmers. It aids in code generation, task automation and debugging, boosting development speed and allowing focus on innovation. Gartner’s 2024 research highlights a 30% improvement in coding efficiency and a 25% reduction in development timeframes due to GenAI.
Accelerating credit analytics with Experian Assistant
Within the credit risk management space, GenAI offers a powerful solution that addresses some known pain points. These relate to mining vast amounts of data for insight generation and coding support for attribute selection and creation, model development, and expedited deployment.
Experian Assistant is a game-changer in modernizing analytics workflows across the data science lifecycle. Integrated into the Experian Ascend™ platform, it’s specifically designed for analytics and data science teams to tackle the challenges of data analysis, model deployment and operational efficiency head-on.
Capabilities and skills of Experian Assistant
- Data tutor: Offers comprehensive insights into Experian’s data assets, enabling users to make informed decisions and optimize workflows
- Analytics expert: Provides tailored recommendations for various use cases, helping users identify the most predictive metrics and enhance model accuracy
- Code advisor (data prep): Automatically generates code for tasks like data merging and sampling, streamlining the data preparation process
- Code advisor (analysis): Generates code for risk analytics and modeling tasks, including scorecard development and regulatory analyses
- Tech specialist: Facilitates model deployment and documentation, minimizing delays and ensuring a seamless transition from development to production
Driving more informed decisions
Adopting GenAI will be key to maintaining competitiveness as the financial services industry evolves. With projections showing significant growth in GenAI investments by 2025, the potential for enhanced efficiencies, streamlined operations and cost savings is immense. Experian Assistant is at the forefront of this transformation, addressing the bottlenecks that slow down analytical processes and enabling financial institutions to move faster, more informed and with greater precision.
By integrating the capabilities of the Experian Assistant, financial institutions can leverage GenAI to automate data processes and develop customized analytics for business decision-making. This alignment with GenAI’s broader benefits — like operational streamlining and improved customer experience — ensures better risk identification, workflow optimization and more-informed decisions.
