Systems | Development | Analytics | API | Testing

Effective quality management in the life sciences industry is essential for ensuring patient safety, regulatory compliance, and the delivery of high-quality, efficacious treatments and medical devices. And good quality management is about more than just checking a regulatory box. Ensuring the safety and efficacy of your products can prove challenging, but the right technology can help.

In today's dynamic software development landscape, efficient and scalable test management is crucial for ensuring the quality and reliability of software products. Jira, a popular project management tool, offers a robust solution for test management through its integration with Zephyr Scale. In this blog post, we’ll explore the high-level importance of reusability features in test management and how they contribute to scaling your testing efforts.

Kong Ingress Controller 3.1 provides brand-new capabilities for keeping your secrets secure. We’ve introduced new KongVault and KongLicense CRDs, and added a way to keep sensitive information in your cluster when using KIC in Konnect. Finally, there’s a quality-of-life improvement that allows you to use a Kubernetes secret to populate a single field in a KongPlugin configuration.

The process of building, code signing, and publishing mobile apps can be tedious and time-consuming, especially when working in a large team and also needing to share builds with QA engineers. That’s why Codemagic offers a cloud-based CI/CD service for mobile apps that automates the whole workflow with minimal time-effort on configuration. But what if you want to use Codemagic’s features locally or in another CI/CD environment, such as GitHub Actions?

REST APIs are emerging as a simple and secure way to access sensitive government data, serving as conduits that enable seamless access and manipulation of data across various government systems. Government agencies face the pressing need to modernize their IT infrastructure to improve service delivery, enhance operational efficiency, and ensure the security of data exchanges.

Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers.

This blog post describes support for materialized views for the Iceberg table format in Cloudera Data Warehouse. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

In a world drowning in documents, intelligent document processing (IDP) is a lifeboat. Imagine freeing yourself and your teams from the frustration of manual data entry (and the human error that always comes with it). This is the promise of IDP—a transformative force for any kind of document processing work.

Learn how Fivetran and Databricks work in unison to enable AI-powered upgrades to marketing ROI.

We are thrilled to announce that Tricentis is once again a winner in TechStrong’s DevOps Dozen! TechStrong annually recognizes the most Agile and innovative DevOps tools and services, along with contributors to the DevOps community who have demonstrated exceptional performance. DevOps Dozen honorees have not only moved the needle within their own organizations, but have also pushed the DevOps industry forward. Tricentis Mobile was named the winner of the Best Testing Service/Tool category.