Systems | Development | Analytics | API | Testing

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

Imagine that you’re a healthcare provider who’s just treated a patient. It’s time to get paid for your services, but you don’t want to deal with endless paperwork and unnecessary phone calls. There’s a better and more streamlined way to handle it — the electronic way. Electronic Data Interchange (EDI) is responsible for providing just that.

Every organizational activity or interaction today generates data. This quickly creates large amounts of data at organizational and departmental levels, but data generation is only the beginning. No matter how much raw data you have at your disposal, you can only leverage it fully if you know how to process it correctly for your requirements. You can process data flows using one of two approaches: batch processing or batch processing.

We’re excited to introduce a significant addition to WSO2 Micro Integrator: our new visual data mapper, now available with the 4.3.0 release. This feature is designed to enhance your data integration experience by providing a more intuitive and user-friendly way to manage and transform data.

Python is a powerful and versatile programming language. However, like any language, it comes with its own set of challenges. One common issue developers encounter is the KeyError exception. In this tutorial, we’ll delve into what a KeyError is, explore common scenarios where it occurs, and provide practical solutions and best practices to handle and prevent this error.

According to a recent survey by AppDirect, half of IT decision-makers are losing sleep over security. It's no surprise, given that 45% of respondents have experienced a security breach in the last year. The threat of vulnerabilities and cyber security attacks is on the rise, and the impact of an incident can be devastating. Having the right DevSecOps strategy helps, but getting the right toolchain in place is crucial.

The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.

Effectively communicating insights derived from data is a cornerstone of successful decision-making in today's landscape. Yet, many businesses struggle to translate complex analytics into compelling narratives that resonate with diverse audiences. The ability to create engaging and informative presentations directly from data is a critical requirement for modern embedded analytics platforms.

As hard as it may be to believe, we are nearly a quarter of the way through the 21st century. Yet many businesses still rely on 20th century processes and technology to complete their financial planning and analysis tasks. This reliance on outdated methods can lead to inaccurate forecasts, missed opportunities, and a competitive disadvantage.