Application Programming Interfaces (APIs) integrate diverse software systems and enable seamless communication. 98% of enterprise leaders agree that APIs are essential to an organization’s digital transformation. But just having APIs isn’t enough; it’s equally important to provide clear instructions on how to use them. Think of API documentation as the user manual that comes with a product—except, in this case, the product is code.

If you’re one of the cool kids building AI-based products you’ve probably heard of — or are already doing — RAG. If you’re not, let me tell you what RAG is before telling you one weird fact about it. “Retrieval-Augmented Generation” is nothing more than a fancy way of saying “including helpful information in your LLM prompt.” Still, there are many ways to do it and many questions to answer when building a RAG pipeline.

Testing is an essential part of any software deployment project, whether a new eCommerce gateway or migrating from SAP ECC to S/4HANA. But ERP testing SAP and other packaged applications differs from standard web or mobile application testing.

When Snowflake acquired the TruEra AI Observability platform, we committed to keeping TruLens open source. We’re not only keeping that promise; we’re emphasizing it. Our goal remains to support LLM app developers in creating trustworthy generative AI applications. In the weeks since the acquisition, we have already added ecosystem-friendly enhancements including: We plan to continue making enhancements and improvements that benefit the community at large, whether on Snowflake or not.

As I reflect (although a better word would maybe recover) on the incredible experience at Qlik Connect in sunny Orlando, I am filled with excitement and pride. This year’s event was particularly special because it was our first opportunity to showcase the expanded Qlik portfolio, including our robust data foundation, Qlik Talend Cloud, and Qlik Answers, our all-new knowledge assistant that delivers personalized, relevant answers to questions generated from a variety of unstructured data sources.

Present in every version of Java, the java.lang.RuntimeException is an essential class that allows your application to handle unexpected problems without crashing. Runtime exceptions are exceptions only detected during the execution of your app - things like invalid user input or issues with external resources like files or networks. When an unexpected situation like those occurs, a RuntimeException can be thrown and your app can catch and handle it using a try-catch block.

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips. This assistant doesn’t just automate mundane tasks but understands the intricacies of your workflows, anticipates your needs, and dramatically enhances your productivity at every turn.

If you think workflow orchestration sounds like tech jargon, check out this simple explanation and consider practical advice for how to apply it to your business processes. Let’s start with the basics: what is workflow orchestration? Put simply, workflow orchestration is the end-to-end management of people, digital workers, systems, and data in a process.

According to Statista, the microservices architecture market will grow at a robust CAGR of 19.6%, reaching $10.86 billion by 2027, up from $4.44 billion in 2022. The shift to microservices architecture has revolutionized software design and development, significantly enhancing agility, scalability, resilience, delivery times, cost-effectiveness, and more. Since Dr.