The success of a product hinges on more than innovation; it depends on flawless performance.

Mobile accessibility testing requires special consideration. This guide covers everything you need to know about making mobile apps accessible.

The software testing market size was valued at USD 51.8 billion in 2023 and is projected to grow at a CAGR (Compound Annual Growth Rate) of over 7% between 2024 and 2032.

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.

Combining Artificial Intelligence and human intelligence in testing becameessential for delivering high-quality products quickly and efficiently. AI excels at automating repetitive tasks, analyzing vast datasets, and improving test coverage. Humans, on the other hand, bring creativity, critical thinking, and the ability to handle complex scenarios that machines can’t easily navigate. Together, they form a powerful synergy that enhances speed and accuracy in testing but also brings challenges..

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.

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.

In the insurance industry, the claims process can often feel like a complex maze of manual processes for both customers and agents. However, new and advanced technologies are paving the way for smoother, more efficient claims handling. Claims processing automation at insurance companies can streamline routine tasks, reduce risk of errors, and enhance customer satisfaction. In this blog, we’ll explore three key areas to focus on for effective automation.

The stage is set for a new era in marketing, and marketers have never had so much data and technology at their fingertips. But to deliver the ROI that enterprises require today, marketers must have a strategic mindset and fine-tune the tools, tactics and approaches in their marketing data stack. Snowflake is here to help marketers evolve and accelerate their marketing impact with our third annual Modern Marketing Data Stack report and global virtual event.