According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices offers diversified solutions.

In the last article, we gave a general introduction to using Swift for backend development. We discussed its advantages: its robustness, stability and, above all, its simplicity. Now we’re going to drill a little deeper, and provide some best practices that will help you in your day-to-day work. Our work today will focus on Vapor, an open-source web framework that provides a robust foundation for websites, APIs and Cloud projects.

A balanced combination of manual and automated testing is the way to go if you want to achieve higher test coverage and efficiency. They cover for each other. Manual testing is easy to learn and do, but it is highly likely to create inconsistent test results, and sometimes it takes a lot of time and effort. On the other hand, automation testing requires a lot of technical expertise to create and maintain scripts, but it checks bugs much faster with higher consistency.

We're excited to unveil the first of many AI-driven features for the Ballerina Copilot platform. With the introduction of the Ballerina AI Data Mapper, we are bringing a new level of smart and seamless integration capabilities powered by cutting-edge artificial intelligence technology.

As the digital and physical worlds converge, the businesses of varied sectors are experiencing a seismic shift. While businesses are rapidly changing the ways how they function, however, the increasing customer demands and expectations, are making the need for this shift lightning-fast. Digital transformation in manufacturing industry is a significant trend that is taking place at a rapid pace.

In this article, we'll talk about our experience implementing a design system at Kong. We'll go over the reasons why we decided we needed one in the first place, where we started, and how we got to where we are today. We'll also cover the technology we used and how it has transformed software development at Kong. Whether you have plenty of experience with design systems or are looking to get started with one, we hope you will find this article helpful and informative.

Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms. It also establishes standards and guidelines for data handling, creating a reliable and scalable environment that supports data-driven activities.

In the world of banking, where customer expectations are continually evolving, and regulatory landscapes are becoming increasingly complex, the integration of intelligent automation stands out as a pivotal solution. Intelligent automation, which combines artificial intelligence (AI) with robotic process automation (RPA), allows banks to streamline operations, enhance customer experiences, and maintain compliance with ever-changing regulations.

Unlock real-time supply chain analytics with modern data infrastructure.