If you're worried about the potential for heightened regulatory scrutiny in financial services, you're not alone. Business operations teams everywhere are focused on the end-to-end, client lifecycle management (CLM) process as they cope with ever-changing regulations governing how, when, and where client data can be stored and accessed. It's hard to stay compliant when customer data is spread across multiple operational silos.

Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.

Kubernetes has revolutionized how modern applications are built, deployed, and scaled. However, due to its complexity, managing a Kubernetes development environment can sometimes feel overwhelming for developers. Utilizing a cloud environment can simplify Kubernetes development by providing better scalability, manageability of dependencies, and a more consistent development experience across various cloud providers.

UI testing helps to ensure that the UI of your website or mobile app behaves as expected and that a high-quality user experience is maintained. This guide covers the basics of automated UI testing and how it can help your organization perform full UI testing more efficiently and consistently.

Intelligent automation is transforming the manufacturing industry, optimizing operations, reducing costs, and enabling data-driven decision-making. However, to fully harness the potential of intelligent automation, manufacturers must measure its impact using specific Key Performance Indicators (KPIs). These metrics provide a comprehensive view of performance, help identify areas for improvement and demonstrate the value of automation to stakeholders.

Organizations must constantly seek ways to improve their operations and drive efficiency. Two concepts gaining traction in this quest are process intelligence and process mining. While these terms may sound similar, they serve distinct purposes and can provide different insights into your processes. Understanding the differences between them is crucial for organizations aiming to enhance productivity and streamline workflows.

The OKR (Objectives and Key Results) framework is an approach used by companies that sets goals to improve alignment, engagement, and performance. OKRs became well-known after being used by Google and Intel and are now widely accepted across various industries, especially SaaS businesses.

Let’s be real – client reporting often feels like the marketing world’s equivalent of doing taxes—tedious, time-consuming, and to be honest, not the reason you got into this field. Adding to the frustration is the fact that, more often than not, many clients don’t even understand their reports. That’s why marketers often talk about how reporting feels like a necessary evil. But what if we looked at reporting as a tool for client retention?

Business leaders find themselves involved in a range of high-priority tasks, most of which require making critical decisions. Let’s say you’re the sales head of a global organization. You’re ready to make an important decision about next quarter’s sales strategy, but you must first look at the right data set. You know it exists somewhere in your organization’s databases, yet it’s not within the arm’s reach.

Are you thinking about hand-coding an API? You have the perfect application in mind. It has an attractive UI and achieves everything the customer wants. However, it needs to connect with a Microsoft SQL Server database, so you have to start working on the data model and API. Hand coding APIs offers greater customization and control but is time-intensive, whereas API generation provides a faster, more streamlined approach with automated tools, albeit with less flexibility.