Recent sentiment shows that SMEs are feeling more optimistic about their prospects in 2025.  

On Wednesday January 15, BIBA launched their 2025 Manifesto at the houses of parliament. The key theme in 2025 is “Partnering to deliver value” and as a BIBA Facility provider, we couldn’t agree more!

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 a world where the financial industry continues to evolve rapidly, financial institutions need to do the same. One way to maintain your edge is by embracing a balance of automation and augmentation. This approach enhances operational efficiency, optimizes risk management, and revolutionizes the experience for both banker and client.

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.

In the evolving landscape of commercial banking, merging traditional services with modern technology is essential.

The rise of artificial intelligence (AI) is transforming how financial institutions (FIs) approach traditional banking processes, but not all FIs are prepared to take advantage of this game-changing technology. Leveraging AI is not a one-off task, but a continuous cycle of assessing, enhancing, and improving data quality for an effective strategy. For this reason, the journey AI optimization can seem daunting.