Artificial Intelligence (AI) is set to transform the financial services industry by 2030, according to insights shared by Ed Maslaveckas, CEO of Bud. The potential of AI in banking is immense, with early adopters like Bud already showcasing its capabilities. While AI has recently gained mainstream attention, its foundational applications have been in use for years, indicating both its potential
In the race to harness the transformative potential of Generative AI (GenAI) and big data, companies across various industries are facing significant challenges, despite recognizing the substantial benefits these technologies can offer. Research from global management consultancy Kearney highlights that while firms are aware of the improvements in customer experiences, revenue, and decision-making processes that GenAI and big data can
Modulr, an embedded payments platform recognized for its innovative financial solutions, recently announced its acquisition of Nook, a prominent player in the accounts payable (AP) automation sector. This acquisition promises to be a groundbreaking collaboration focused on addressing the inefficiencies that plague business payments. By removing cumbersome manual processes and enhancing security measures, the merged entities aim to streamline business
The digital transformation of the tax function within businesses is a critical aspect of modern finance management. As business landscapes evolve, companies strive to keep their tax processes up-to-date to ensure compliance and enhance efficiency. However, the journey of digital transformation presents varied scenarios for SMEs and large enterprises in the US and Europe, revealing significant differences in progress, adoption
The banking sector is on the brink of a technological revolution, driven by the advent of agentic artificial intelligence (AI). This transformative technology promises to enhance productivity, streamline operations, and elevate customer service across various organizational levels. By adopting a customer-journey-based approach and ensuring front-to-back integration, banks can strategically prioritize areas for growth and navigate the complexities of the evolving
Imagine the convenience of buying that expensive gadget or stylish attire today and paying for it over time without any hassle or interest—sounds enticing, doesn’t it? This is precisely what the ‘Buy Now, Pay Later’ (BNPL) model offers, and it has been gaining significant traction in various markets. Especially in Spain, this payment option is rapidly becoming popular among consumers,
Imagine a world where retail investors have access to the same advanced investing techniques and tools as large financial institutions, leveling the playing field and empowering individuals to make more informed investment decisions. This scenario is becoming a reality thanks to the transformative impact of Artificial Intelligence (AI) in the investment world. The use of computers in investing isn’t new,
AI has already made a profound impact on the financial markets. Its ability to predict trends, execute trades swiftly, and manage risk is transforming investment strategies at its core. Since it allows companies to provide an enhanced user experience with improved accuracy and personalization, businesses have started to adopt the technology and implement AI-based solutions. Over 60% of financial services
The rise of Buy Now, Pay Later (BNPL) services has marked a significant shift in the retail finance landscape. This innovative financial tool allows consumers to purchase items and pay in interest-free installments, offering a flexible and transparent alternative to traditional credit cards and layaway options. With its rapid adoption among retailers and consumers, BNPL is reshaping how people manage
When it comes to making major purchases, consumers often seek flexible financing options that allow them to spread out payments over time without the strain of a large upfront expenditure. Two increasingly popular methods that provide such financial flexibility are Buy Now, Pay Later (BNPL) and Rent-to-Own (RTO). While both methods offer unique advantages, they also come with their own
Artificial intelligence (AI) has increasingly become an integral part of the financial industry, transforming operations, enhancing decision-making, and changing the landscape of trading and risk management. Large financial institutions and individual investors alike are leveraging AI tools for advanced data analysis, efficient execution of trades, and dynamic risk management. While AI promises increased efficiency and precision, its integration into finance
The accounting industry in the United States is undergoing a profound transformation, driven by the rapid adoption of artificial intelligence (AI). This shift is not only enhancing productivity and financial forecasting capabilities but also creating new job opportunities. As AI becomes more integrated into accounting practices, it is clear that the future of the industry will be marked by a
