Did you know? In the past decade, mobile app usage has evolved and grown tremendously all around the world. Not only that, according to a recent study, the SaaS industry has progressed from $31.5 billion to an estimated $171.9 billion in 2022 as per the report published by Exploding Topics. That equates to around 5x growth in only seven years. That’s incredible, isn’t it?

Financial planning and analysis (FP&A) is recognized as an essential tool for driving business success. At a time when agility has taken center stage, though, FP&A is giving way to the new discipline of extended planning and analysis (xP&A). Why? Because in an increasingly digital landscape where agility is paramount, actionable real-time feedback is essential.

The current global landscape, represented by geopolitical tensions, economic instability, supply chain disruptions, and the pandemic’s long-term effects, has highlighted the significance of solid trade financing solutions. These issues have driven the need for financial products that reduce risks, secure payments, and streamline cash flow.

Modernizing legacy systems is often a daunting task, often filled with risks and uncertainties. The Strangler Pattern offers a proven, incremental approach to replace these outdated systems by gradually building new features around them, eventually phasing out the old system. The Strangler Pattern is a software modernization strategy that incrementally replaces parts of a legacy system with new functionality, allowing both systems to coexist until the legacy system is fully phased out.

Artificial Intelligence (AI) is transforming industries, enhancing decision-making processes, and creating new opportunities across various domains. However, selecting the right type of AI for your specific needs can be challenging. Broadly, AI can be categorized into predictive (sometimes known as discriminative or traditional) AI and generative AI, each serving different purposes.

If you work in Quality Assurance testing, you know that automated browser testing saves every tester from hours upon hours of manual test work. But exactly what is automation testing, and how does it fit into a typical QA workflow? We’ve got the full explanation for you in this straightforward guide on the basics of automation testing, how it can transform your QA process, and how to get started with test automation tools like Ghost Inspector.

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

The debate between static and dynamically typed languages has long been a subject of contention among developers. Each approach offers its own set of advantages and disadvantages, significantly influencing the software development process. Dynamically typed languages like Ruby provide flexibility by allowing variables to be declared without corresponding types. This approach fosters rapid development and promotes an agile process.

Historically, finance teams largely operated in the background, focusing on record-keeping, compliance, and ensuring that financial operations ran smoothly. Their primary responsibilities revolved around managing costs, balancing the books, and maintaining operational efficiency. In recent years, that has changed.

Single-table design is a powerful approach to modeling data in DynamoDB because it allows you to store all your data in one place. This approach can simplify your data model and reduce the number of tables you need to manage. In the traditional approach, you create a separate table for each entity in your application. For example, you might have a table for characters and a table for quests. Each table would have its own primary key and attributes.