Systems | Development | Analytics | API | Testing

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Announcing Moesif API Analytics and Monetization For WSO2 Choreo

As part of our mission to serve developers, product managers, and other Moesif users better, we’ve teamed up with the API experts over at WSO2 to connect the capabilities of Moesif and Choreo. Choreo was created by WSO2 to push forward the next generation of application development. Inside Choreo is a SaaS application development suite designed to accelerate the creation of digital experiences.

Trends & Best Practices in SAP Adoption

The second edition of The State of Worldwide Business Assurance for SAP Solutions is here! In a collaborative effort between Tricentis, Capgemini, and Sogeti, we explored current trends in SAP adoption and implementation, along with organizations’ level of preparedness for digital transformation. The resulting report assesses the current market state and offers real-world case studies and testimonials for illustration.

How to Manage Risk with Modern Data Architectures

The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure.

Kensu launches the first Data Observability solution for Matillion enhancing data productivity for the Enterprise

Kensu announces a strategic partnership with Matillion, the leader in data productivity. Kensu is the first solution to bring advanced data observability capabilities to support Matillion Data Productivity Cloud, empowering organizations to gain richer insights into their data pipelines, ultimately strengthening trust in their data.

You don't need to be an expert to automate your UI tests

Comprehensive test suites are hard to build out, especially when it comes to UI testing. QA teams have to strike a balance between running enough tests to cover essential cases, and giving each test the attention necessary to ensure quality results. With increasing demand for more releases, testers have a lot on their plate, and so automation becomes essential for keeping up. The challenge? End-to-end tests are notoriously difficult to automate without the right tools. The solution?

Interview with Director of Data Science, Jyotika Singh

For our latest specialist interview in our series speaking to technology leaders from around the world, we’ve welcomed Jyotika Singh, Director of Data Science at Placemakr. Jyotika has focused her career on Machine Learning (ML) and Artificial Intelligence (AI) across various industry verticals, using practical real-world datasets to develop innovative solutions. Her work has resulted in multiple patents that have been utilized by well-known tech companies for their advancements in AI and ML.