SmartBear is revolutionizing the way teams deliver high-quality software, faster than ever before. Today, we’re announcing a set of major product enhancements to Zephyr Scale, the leading Jira-native test management platform, to empower everyone on your team to automate tests, regardless of coding experience. This “Automation for All” is fueled by the power of SmartBear HaloAI, which is transforming software development and testing productivity.

In today’s digital world, APIs have become key to connect apps and services, both internally and externally. However, when integrating with external entities like partners and service providers, API security is a major concern for businesses. And from a user’s perspective, traditional authentication approaches in mobile apps or digital channels often deliver a less-than-ideal digital experience.

The email marketing industry is now more powerful than ever. A recent study showed that for every $1 spent on email marketing, marketers make $42—a 4,200% ROI! But for developers, creating a winning email strategy goes beyond catchy subject lines and creative design. It’s about deploying effective Email APIs to automate workflows, personalize outreach, and ultimately, drive exceptional results.

Learn how to get self-service production samples from BigQuery in this detailed guide. Learn about policies, requests, and the sampling cycle.

There is a scene in Mission: Impossible – Rogue Nation where Tom Cruise is hanging onto the outside of a jet as it has taken off. And while, yes, he’s going with it, he’s not really on board or in control. Some data executives feel like that. It’s not enough to establish goals — or, the destination in this metaphor. The data strategy must provide a flight plan for making sure you get there — on time, on budget and, of course, safely on board.

Financial and operational reporting for NetSuite can be a challenge. As is the case with many ERP systems, NetSuite’s reporting capabilities tend to be somewhat restrictive. It can be difficult to pull information from multiple NetSuite modules into a single, cohesive report. In other instances, information for which there ought to be a fairly straightforward reporting process turns out to be inaccessible.

RAG and Fine-Tuning are two prominent LLM customization approaches. While RAG involves providing external and dynamic resources to trained models, fine-tuning involves further training on specialized datasets, altering the model. Each approach can be used for different use cases. In this blog post, we explain each approach, compare the two and recommend when to use them and which pitfalls to avoid.

As demand for machine learning (ML) grows, rigorous testing and quality assurance are crucial. ML models need quality training data and robust algorithms. Without thorough testing, inaccurate outcomes can occur, especially in sectors like healthcare, finance, and transportation. A 2023 ScienceDirect report found data leakage in 294 academic publications across 17 disciplines, highlighting the need to address this issue in ML-based science.

Test case is the backbone of any testing project. The art of software testing is to write the right test case. Firstly it’s not about how you write it, but rather what scenarios you are writing for. After that, we need to closely tie our test cases with test design and test execution. Let’s explore how to write test cases in the most strategic fashion.