We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

ClearML’s end-to-end AI Platform supports AI builders through every stage of the process, from data preparation and management to experimentation, deployment, and performance monitoring. At the heart of ClearML’s data management capabilities is its unique approach to visual data handling, known as Hyper-datasets. We’re sure you know all about the importance of data versioning, but here’s a quick reminder: effective data management is essential for.

Imagine you are a software developer and you are buzzing with excitement because you've just deployed a new feature at work. But suddenly, you hear whispers of a critical bug in the old functionality. That gut-wrenching moment reminds us how important it is to know when regression testing should be performed.

Data analytics and business intelligence (BI) are key for driving informed decisions, and today's best solutions make use of artificial intelligence (AI) to help users along the way. AI chatbots, powered by natural language and machine learning (ML), are one such intelligent tool that can quickly analyze large datasets, helping your business users find helpful answers to queries, get recommendations, and even uncover valuable insights.

Do you want the benefits of contract testing with much less effort? Are you convinced of the benefits of contract testing but think it’s just too difficult to roll out across your organization? You might worry that implementing Pact in your organization requires challenging changes to culture and process. In this article, I’ll show you a drastically simplified approach to contract testing that a single developer can bring online.

Our new research shows AI adoption is high across software testing workflows. But AI isn’t (yet) paying off in ways that matter to software teams using open-source testing frameworks like Selenium, Cypress, and Playwright. Open-source teams using AI are still spending just as much — if not more — time on painful test writing and maintenance tasks than ones not using AI. Contents Toggle.

In 2024, wealth managers are laser-focused on adding new clients (64%), deepening existing relationships (48%), and enhancing client experiences (46%)—priorities that align with the wealth management market’s projected Assets under Management, expected to reach a staggering $162.3 trillion globally, with financial advisory dominating at $159.5 trillion.

In the world of web application testing, end-to-end (E2E) testing frameworks play a critical role. They allow teams to automate tests that simulate real user interactions, ensuring that applications behave as expected from start to finish. Two of the most popular tools in this arena are Playwright and Cypress. Both tools are designed for modern web apps but vary significantly in their approach, features, and capabilities. In this article, we’ll explore Playwright vs.

In applications that use closures excessively, understanding stack traces as part of the debugging experience has historically been complicated by the fact that the names of closures did not include the source location. In a PHP stack trace, whenever a frame was represented by a closure, it only contained the reference {closure} and the namespace the closure was declared in, leading to all closures within a namespace looking identical.