Join us every other week on "Test Case Scenario" presented by Sauce Labs, where our expert panel dives into the exciting and ever-changing landscape of technology, pop culture, and business.
Evaluating the ROI of a new software testing tool is a critical part of the selection process. The Total Economic Impact™️ of Sauce Labs, is a commissioned study conducted by Forrester Consulting on behalf of Sauce Labs. The purpose of the TEI study is to provide a framework to evaluate the potential financial impact of Sauce Labs' mobile application testing solutions on your organization.
Radiall, a world leader in the electronic connectors industry, has completely redesigned its BI ecosystem to become a data-driven company. Among the objectives: reduce the number of tools and data quality issues and deploy a data culture within the group. Radiall chose Qlik for the power of its powerful associative engine and its embedded ETL capabilities. The first applications implemented were the sales and marketing analysis report and the budget planning applications but the platform was quickly extended to the finance R&D, quality, HR and IT divisions.
Discover some of the new features released on Talend applications and products in June. Check the release notes available on Talend Help Center for more information.
This week we have added a welcomed improvement to the Business Glossary available in Qlik Cloud. The Business Glossary improves internal communication and eliminates confusion by ensuring that the same business terminology is used across the entire organization. Terms that are defined in a Business Glossary can now be linked to Measures and Dimensions in the Master Items library ensuring consistency. AND once defined this information is available for users to view and access directly from the information pop up windows either in edit more or in analysis mode. Streamlining data-based decisions by eliminating misunderstandings due to competing terminologies or inconsistencies between technology definitions and business language.
MLOps also known as Machine Learning Operations is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. In this video, you can learn about the basics of MLOps and its applications in Choreo.