A prominent global bank was thrust into the spotlight for all the wrong reasons. The institution was hit with a staggering fine – multiple billions – for failing to comply with new data protection regulations that ultimately led to a customer data breach. The breach, which exposed sensitive information, not only resulted in financial penalties but also caused significant reputational damage.

Without a doubt, Artificial Intelligence (AI) is revolutionizing businesses, with Australia’s AI spending expected to hit $6.4 billion by 2026. However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits. In fact, over 25% of respondents stated they don’t have the data infrastructure required to effectively power AI.

It sounds counterintuitive—using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.

This guide walks you through setting up a Free/Paid plan for your customers using a supported payment platform integrated with Moesif, focusing on tracking usage and managing upgrades to paid tiers. While the steps in this guide are specifically for Stripe, they can be adapted for other supported payment platforms.

In today's data-driven business landscape, the ability to predict trends, explain drivers, and act on insights is no longer a luxury—it's a necessity. Yet for many organizations, the path from data to predictive intelligence remains challenging. Data science resources are scarce, and traditional tools often require specialized expertise that most analytics teams lack. At Qlik, we believe that the power of predictive analytics should be accessible to all.

The cloud-based GitLab CI/CD platform allows development teams to streamline their Continuous integration (CI) and Continuous Delivery (CD) pipelines and accelerate their Software Development Lifecycle (SDLC). Adding strict, compliance-based static analysis — as provided by Helix QAC — as new stages to existing GitLab CI/CD pipelines will enhance the SDLC still further, and move your DevOps workflows from Continuous Integration to Continuous Compliance.

Developer productivity is not just about writing code faster—it’s about creating efficient, self-service environments that minimize friction and reduce the time from development to deployment. In the context of Kubernetes clusters, enhancing productivity means leveraging the right tools and workflows to streamline development, reduce errors, and speed up feature releases. This guide explores the key strategies and tools that can significantly boost productivity in Kubernetes environments.

When referring to common types of software architecture, often people refer to the general blueprint or structure that software developers follow when building applications. Relying on common architectural styles makes it easier for project managers and programmers to make products efficiently. Development teams can choose software architecture patterns they know can offer the functionality they need.

The world has really come a long way due to widespread digital transformation adoption! And, it’s no secret that it has changed the FinTech sector drastically. In light of this evolution, it has become imperative for lenders to adapt and refine their operations with a well-defined Loan Management System.

If you’ve ever struggled with the complexities of traditional testing frameworks like Selenium—setting up drivers, dealing with flaky tests, and waiting forever for things to load—Cypress will feel like a lifesaver. Why? Because Cypress simplifies your testing process in ways that save both time and energy.