How a Single Platform Improves the Success of Your Digital Efforts
In this report, you’ll gain insight into what types of metrics your organization needs to measure in order to establish and successfully implement an effective digital framework. You’ll also learn which teams to collaborate with within your organization to ensure success and how to consider metrics in their appropriate context.
Read the complimentary report now to discover how Forrester’s digital measurement framework can help you:
Track performance, progress, and profitability
Measure four types of metrics
Track revenue, cost, operations, and customer metrics
Ensure the best team collaborations
Factor in interdependencies and identify and resolve conflict with nondigital metrics
As we look towards 2025, many analysts and industry experts are sharing observations on the current state of artificial intelligence (AI) and their predictions for the future. As AI use cases continue to evolve across industries, it’s critical for financial institutions (FIs) to evaluate their own AI journeys. Are they ahead of, in step with, or falling behind their competitors?
In today’s financial landscape, digital transformation has become an essential priority for financial institutions (FIs), and credit risk management is no exception. Despite economic challenges, many banks are making significant investments in advanced technologies to fast-track their digital transformation. While cost pressures are considerable, the potential of technology to enhance automation and efficiency continues to drive these investments forward.
Artificial intelligence (AI) and machine learning (ML) are transforming how financial institutions approach many traditional banking processes. When it comes to AI in the financial services industry, the concept of explainability—i.e., the ability to clearly communicate the process behind AI’s decision-making and understand the model’s inner workings—is of the utmost importance.
Being a leader in the financial services industry requires a seamless approach to innovation and efficiency. One of the crucial elements to success is the integration of automation and augmentation into credit portfolio management, as these tools have the ability to transform operations, manage risk, and improve both banker and client experiences.
The consumer lending market has seen monumental shifts over the last decade. From the rise of fintechs to new regulatory measures, these changes have reshaped how we borrow and lend. Understanding and responding to trends in the market is crucial for financial institutions of all sizes.
