Systems | Development | Analytics | API | Testing

TensorFlow vs. PyTorch: Which Deep Learning Framework is Right for You?

A deep learning framework is essential for building and deploying deep neural networks, a class of artificial intelligence algorithms inspired by the human brain’s structure and functioning. These frameworks provide a high-level interface, libraries and tools that simplify the development process of complex machine-learning models. Choosing the proper deep learning framework is crucial as it directly impacts your machine learning projects’ efficiency, productivity, and success.

AI Testing: Unlocking The Future of Software Testing

In the span of only a few months, AI has reshaped the landscape of almost every industry around the world in both positive and negative ways. Indeed, there is still a lot of room for improvement for this groundbreaking technology, but if businesses don’t embrace it, they’re sure to be left behind. In the QA industry, “AI testing” will become the norm in the next few years, bringing incredible advancements in the way we think and do software testing.

Streamline Apple Devices Registration with Codemagic CLI

In this short tutorial, discover how to supercharge your app testing and development process by leveraging the power of Codemagic CLI. Join us as we explore the seamless registration of Apple devices for testing using the Codemagic CLI tools. Learn how to install the CLI, set up the necessary credentials, register single and multiple devices, and even automate the process using codemagic.yaml. With Codemagic CLI, you can save time and effort, ensuring a smooth and efficient app development workflow. Watch now and unlock the potential of Codemagic CLI for your iOS projects!

Ship sooner to Google Play: Release Management now supports Android production releases

Ship Android apps faster than ever. Our new features allow you to effortlessly integrate with your Google Account, create production releases and release directly to the Google Play Store. Read more on this, and what's coming next.

Healthcare leader uses AI insights to boost data pipeline efficiency

One of the largest health insurance providers in the United States uses Unravel to ensure that its business-critical data applications are optimized for performance, reliability, and cost in its development environment—before they go live in production. Data and data-driven statistical analysis have always been at the core of health insurance.

The Role of AI and Machine Learning in Product Analytics

In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?