Today’s competitive world demands “Quality at Speed with minimal costs.” To meet this demand, tester’s rely on test automation tools to rapidly roll out high-quality software. Open-source software development has grown increasingly popular over the last two decades. Popular OS like Linux and Android; Browsers like Firefox and Chrome; Programming languages like Python and JavaScript; Automation tools like Selenium and Appium; are all Open-Source.

Is your model ready for production? It depends on how it’s measured. And measuring it with the right metric can unlock even better performance. Evaluating model performance is a vital step in building effective machine learning models. As you get started on Continual and start building models, understanding evaluation metrics helps to productionize the best performing model for your use case.

Speedscale is excited to join the AWS Partner Network (APN), the global community of partners who leverage Amazon Web Services (AWS) to build solutions and services for customers. AWS Partners are uniquely positioned to help businesses take full advantage of all that AWS has to offer and accelerate the journey to the cloud. As part of this achievement, Speedscale has completed the AWS Foundational Technical Review (FTR).

We recently sat down with Sandeep Uttamchandani, Chief Product Officer at Unravel, to discuss the top cloud data migration challenges in 2022. No question, the pace of data pipelines moving to the cloud is accelerating. But as we see more enterprises moving to the cloud, we also hear more stories about how migrations went off the rails. One report says that 90% of CIOs experience failure or disruption of data migration projects due to the complexity of moving from on-prem to the cloud. Here are Dr.

See how you can use the new integration of Autify and Bitrise to create and run tests by simply interacting with your iOS app on Autify.

More than a decade into the Internet of Things (IoT) era, the immense potential of IoT is becoming real. We’re moving from proof of concepts and pilots to projects at scale. What’s become increasingly clear is the vast complexity of deploying IoT solutions at scale and the necessity to do so to become a data-driven business.