Systems | Development | Analytics | API | Testing

The healthcare industry is beginning to digitally transform with its adoption of continuously advancing technologies. Healthcare organizations are moving toward a more connected and collaborative healthcare ecosystem for improving the way they provide care. Any data-driven organization knows the importance of high-quality data pipelines in data science. The large amounts of heterogeneous healthcare data, call for healthcare organizations to adopt data-driven approaches to automate medical workflows.

“I Wisely Started with a Map” – J.R.R. Tolkien The need for real-time data has never been more crucial, with organizations in every industry accelerating their digital transformation journeys these past few years to address uncertainty and shifting market forces head on.

New software has to be thoroughly tested before it can be released to the public. As such, a software test plan is essential. The software development process is not complete without a comprehensive test plan. It details the measures you'll take to guarantee that your product or feature will function as intended and won't fail at the worst possible time for your customers.

Welcome to our Yellowfin Customer User Group Event event recap for August 2022! Following our latest quarterly webinar, held August 9 -11, the Yellowfin team aims to provide a quick and handy summary blog for our customers that could not attend. Here, you can find a general update on the future product roadmap of the Yellowfin embedded analytics product suite, including Version 9.8, coming this September.

OperationalError is a class of error encountered while working with the psycopg library in Python. Operational errors are closely linked with the connect method within psycopg and typically occur when parameters passed to this method are incorrect or invalid. This may mean that a parameter, such as a database name, is spelled incorrectly, has changed, or that the database server itself is experiencing a problem.

The popular object detection model and framework made by ultralytics now has ClearML built-in. It’s now easier than ever to train a YOLOv5 model and have the ClearML experiment manager track it automatically. But that’s not all, you can easily specifiy a ClearML dataset version ID as the data input and it will automatically be used to train your model on. Follow us along in this blogpost, where we talk about the possibilities and guide you through the process of implementing them.

The rapid growth in the development and use of APIs shows no sign of slowing down, and the central role APIs play in digital business across industries continues to surge right along with that growth. One recent survey of IT leaders found that 98% consider APIs mission critical, with 81% currently working with microservices and 18% planning to do so soon. The exponential growth in APIs has been such that most software in use today either uses an API or is one.

Learn why mobile finance teams choose Bitrise for Mobile DevOps, understand how mobile leaders use Bitrise for their finance apps, and find out what to do to achieve mobile success.

The true purpose of Software Testing is to check that a product satisfies its standards or, more generally, to report on any discoveries that diminish the consumer experience. The function of a error in these more ambitious corporate objectives is more complex. Before you can release your application, you must demonstrate that it functions well and is free of bugs In the language of testing specialists, "error" often plays the role of the enemy.

PHP is a powerful, server-side programming language with numerous benefits and features. The language is extensively utilized to create various web development solutions. However, core PHP may not be suitable to work on complex business requirements, as PHP code may get intricate. Also, efficiently maintaining complex applications built on PHP normally requires those who worked on the original project.