Banks Embrace Embedded Finance to Meet Corporate Demands

Article Highlights
Off On

The increasing importance of embedded finance in corporate treasury is prompting significant changes in banks’ product strategies and technological investments, according to a new report from Celent, now part of GlobalData. This integration of financial data directly into corporate treasury and finance platforms is transforming corporate-to-bank connectivity. As client demands for seamless, real-time, and relevant financial experiences increase, large global banks are enhancing their IT investments. This trend is also pressuring smaller Tier 2 banks to improve their capabilities in this domain. Celent’s report outlines the challenges and opportunities for banks, noting that many are partnering with fintech firms to achieve the necessary connectivity.

Leading banks, including Bank of America, Citi, DBS, HDFC Bank, HSBC, ICICI Bank, KeyBank, J.P. Morgan, OCBC, PNC, Raiffeisen Bank, Standard Chartered, and Wells Fargo, are advancing their embedded finance solutions. Key vendors assisting these institutions include FISPAN, Koxa, Ninth Wave, Oracle, SAP, and Trovata. The rising complexity of corporate-to-bank connectivity underscores the strategic importance of embedded finance in meeting modern financial service demands. The report highlights that the collaborative efforts between banks and fintech companies are crucial in creating seamless financial ecosystems. This trend represents a significant transformation driven by the need for real-time data integration and enhanced client experiences. In summary, embedded finance is becoming essential for banks to remain competitive. The report provides detailed insights into how banks are evolving through technological and strategic advancements to meet new corporate treasury demands.

Explore more

BSP Boosts Efficiency with AI-Powered Reconciliation System

In an era where precision and efficiency are vital in the banking sector, BSP has taken a significant stride by partnering with SmartStream Technologies to deploy an AI-powered reconciliation automation system. This strategic implementation serves as a cornerstone in BSP’s digital transformation journey, targeting optimized operational workflows, reducing human errors, and fostering overall customer satisfaction. The AI-driven system primarily automates

Is Gen Z Leading AI Adoption in Today’s Workplace?

As artificial intelligence continues to redefine modern workspaces, understanding its adoption across generations becomes increasingly crucial. A recent survey sheds light on how Generation Z employees are reshaping perceptions and practices related to AI tools in the workplace. Evidently, a significant portion of Gen Z feels that leaders undervalue AI’s transformative potential. Throughout varied work environments, there’s a belief that

Can AI Trust Pledge Shape Future of Ethical Innovation?

Is artificial intelligence advancing faster than society’s ability to regulate it? Amid rapid technological evolution, AI use around the globe has surged by over 60% within recent months alone, pushing crucial ethical boundaries. But can an AI Trustworthy Pledge foster ethical decisions that align with technology’s pace? Why This Pledge Matters Unchecked AI development presents substantial challenges, with risks to

Data Integration Technology – Review

In a rapidly progressing technological landscape where organizations handle ever-increasing data volumes, integrating this data effectively becomes crucial. Enterprises strive for a unified and efficient data ecosystem to facilitate smoother operations and informed decision-making. This review focuses on the technology driving data integration across businesses, exploring its key features, trends, applications, and future outlook. Overview of Data Integration Technology Data

Navigating SEO Changes in the Age of Large Language Models

As the digital landscape continues to evolve, the intersection of Large Language Models (LLMs) and Search Engine Optimization (SEO) is becoming increasingly significant. Businesses and SEO professionals face new challenges as LLMs begin to redefine how online content is managed and discovered. These models, which leverage vast amounts of data to generate context-rich responses, are transforming traditional search engines. They