As global banking institutions accelerate their digital transformation, leaders in artificial intelligence and machine ...

MCPs represent the next frontier in digital banking. Grasshopper Bank's MCP elevates digital banking to proactive, ...

Advancements in Artificial Intelligence (AI) have had a revolutionary impact on the banking industry, having efficiently replaced the shortcomings of traditional software by allowing fluid rule ...

Volatility, risk, and increasing customer expectations have always been serious concerns for the global banking sector. However, the current wave of digital transformation and ...

The recent banking crisis adds even more pressure on buy now/pay later lenders, which are taking steps to better manage underwriting and credit decisions in the months ahead. Many lenders want to ...

With a network spanning thousands of financial institutions across a huge swath of the fintech ecosystem, Plaid can spot ...

The Global Big Data Analytics in Banking Market is projected to grow at a CAGR of 9.0% from 2026 to 2033, according to a new report published by Verified Market Reports®. The report reveals that the ...

Red Hat Helps DenizBank Transform Banking Services Through AI and Machine Learning Innovation DenizBank chooses Red Hat OpenShift AI to accelerate time-to-market from several days to just 10 ...

Machine Learning (ML): Machine learning works based on user input, which makes it possible to adapt an interface, and thus improve the results of segmentation by the banks over time.

By KABIR FAGGE As banks across Nigeria and West Africa race to modernise, a quiet transformation is taking place. Not in front-facing apps or glossy fintech interfaces, but deep within their data ...