Historically, the financial industry has depended on manual testing due to the highly sensitive nature of its data and the constraints of legacy systems. With the rise of mobile banking, online transactions, and fintech disruptions continuing to reshape the industry, the need for faster, more reliable, and secure software deployment has become imperative. However, relying solely on manual testing in fast-paced release cycles makes achieving complete test coverage highly challenging. This growing complexity has driven the need for test automation service packages—an emerged approach that aligns with your business testing strategy and optimizes testing costs while improving deployment speed.In this article, we will explore how automation testing packages can help banks drive cost savings and faster releases and how KMS Solutions can help banks maximize ROI with the right automation services. Key Reasons Behind Development Backlog Challenge When it comes to banking app development, rigorous testing is essential to ensure security, compliance, and seamless customer experiences. However, when banks rely solely on manual testing, they expose themselves to unnecessary costs, inefficiencies, and financial risks. Banks experience losses in the following areas: 1. Operational Inefficiencies and High Labor Costs Recent research indicated that 26% of annual IT budgets in banking and finance...
As customer demands for digital services increase, businesses across all industries—particularly in the fast-paced BFSI sector—are under immense pressure to push out innovations quickly. However, a persistent challenge stands in the way: the overwhelming engineering backlog. The development backlog not only delays product launches and frustrates teams but also keeps businesses from staying ahead of the competition.To overcome the challenge, many companies are now embracing the on-demand engineering team.By tapping into flexible, highly skilled teams, companies can minimize technical debt, deliver features faster, and drive innovation—without expanding headcount. In this article, we explore the business challenges of mounting backlogs, key benefits of the on-demand engineering team, and real-world use cases in the BFSI industry. Key Reasons Behind Development Backlog Challenge Over time, an engineering backlog can create a bottleneck that disrupts the seamless progression from ideation to market launch, slowing down the pace of product development. The development backlog is not a singular issue; rather, it is the outcome of multiple interrelated factors that collectively delay product updates and improvements.Let’s break down the major challenges that contribute to the engineering backlog!Growing Product Enhancement BacklogAs products evolve, new features and improvements accumulate over time. When these enhancements are not prioritized or...
The rise of AI in investment banking has ignited a new era of data-driven innovation and expansion. According to a survey by Farsight AI, 23% of professionals in the investment banking sector consider AI technologies a top priority, with many banks raising their automation budgets by 6–10%. Advanced AI technologies, including generative AI in financial software, empower corporate and investment banks to harness their data in unprecedented ways, enabling scalability that was previously unattainable. In this article, we’ll explore how financial institutions implement AI in investment banking and analyze real-life use cases of AI-powered data automation within the investment sector. Key Benefits of AI Adoption in Investment Banking Effective AI implementation is driving a major transformation in investment banking, enhancing efficiency, decision-making, and overall operations. According to Deloitte, generative AI alone could significantly boost front-office productivity across 14 global investment banks, potentially generating an additional US$3.5 million in revenue per front-office employee by 2026.Here’re some key advantages of AI integration into investment banking operations: 1. Comprehensive Data Analysis AI excels at sifting through extensive datasets, including historical trends, real-time market updates, transactional records, and sentiment analysis from news and social media platforms.The speed and accuracy that AI brings to investors can...
AI is rapidly becoming the cornerstone of banking innovation, with Generative AI (GenAI) in finance software standing out as a transformative force. Citi Bank estimates that embracing AI technologies could boost the banking sector's profits by an extraordinary $170 billion, translating to a 9% growth by 2028. Whether you’re a fintech entrepreneur, a banking leader, or new to the financial sector, keeping up with AI trends in banking is essential. These technologies open doors to numerous possibilities, including uncovering data-driven insights, elevating brand engagement, enhancing customer experiences, and fortifying risk management strategies.There are many industry leaders, like JPMorgan Chase and Capital One, that have already implemented AI in their businesses, and 43% of BFSI companies consider it essential to their success by 2025.Don’t let your business fall behind by adopting these latest AI trends and actionable guidance provided by KMS Solutions’ experts to help you stay competitive in this dynamic industry. The Current AI Market in Banking According to the Precedence research, the AI market in banking worldwide is forecasted to reach $315.50 billion in 2033, growing at a robust annual rate of 31.83% from 2024. The AI trend has continuously grown as more banks and financial institutions embrace digital transformation...
Building a dedicated software development team is never easy, especially when your core business activities are irrelevant to technology. Facing the pressure of digital transformation, many banks and financial institutions are on their way to building or hiring digital teams that work best for their specific requirements. Considering the advantages that a dedicated team can bring to banks, here are our tips for building a dedicated team and choosing models best suited for each banking requirement.Benefits of A Dedicated Software Development Team in BankingAs people are getting tech-savvy and prefer doing things online via their phones, banks and financial institutions need to join the digitalization trends to engage with their customers more effectively. Since banks have to focus on core business, having a dedicated software development team is worth considering. Below are some advantages of a high-performing development team for banks and financial institutions:Increase consistency and time-to-market of projects.Reduce the operational costs as the development team can be done remotely Lessen recruitment headacheKeep the project under control and ensure its security (more…)
The FinTech industry is undergoing rapid transformation, fueled by significant investments and the continuous emergence of innovative ideas. This dynamic environment brings a constant demand for new services, updates to existing ones, and accelerated development timelines. Speed has become an essential requirement for success in FinTech.Amidst intense competition, companies face immense pressure to launch products ahead of their rivals. By adopting continuous integration and continuous delivery/deployment (CI/CD) practices, organizations can meet these demands effectively. CI/CD not only enhances the quality of products but also significantly reduces time-to-market, enabling businesses to stay competitive in this fast-paced industry.In this article, we will discover the benefits that CI/CD can brings to Fintech software and key strategies for implementing this practice in financial services apps. What is CI/CD in FinTech Apps? Continuous Integration (CI) and Continuous Deployment (CD) are software development practices designed to streamline and accelerate the process of building, testing, and deploying applications. In the context of FinTech apps, CI/CD plays a critical role in meeting the industry's high demands for speed, quality, security, and scalability.Continuous Integration (CI): is the practice of integrating code changes from multiple developers into a shared repository frequently, often multiple times a day. Each integration triggers an...
Business intelligence (BI) is transforming the operations of banks and financial services organizations at an unprecedented pace. In an industry where data is essential, BI is an indispensable resource that enables banks to gain profound insights into customer behaviors, and make informed decisions that enhance profitability.Since implementing effective business intelligence practices has become a necessity, not just an option, for BFSI businesses, this article will take an in-depth look at how BI is transforming banking operations. We’ll explore the key applications of BI in the banking industry and share key strategies for optimizing your BI approach to drive success and innovation What is Business Intelligence (BI) in Banking and Finance Industry? Business intelligence (BI) encompasses technologies, processes, and architectures designed to collect, clean, and transform raw data into actionable insights. It involves a suite of software applications and services that convert data into meaningful intelligence, influencing operational, strategic, and tactical decision-making.The banking industry is undergoing a significant transformation with the adoption of BI tools and practices. According to the SAS survey ‘Banking in 2035’, 48% of executives identified technology and advanced data analytics as the top digital capabilities their organizations must leverage to stay competitive.Banks, investment firms, and financial institutions...
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