In June, Snowflake announced the public preview of the external functions feature with support for calling external APIs via AWS API Gateway. With external functions, you can easily extend your data pipelines by calling out to external services, third-party libraries, or even your own custom logic, enabling exciting new use cases. For example, you can use external functions for external tokenization, geocoding, scoring data using pre-trained machine learning models, and much more.

A product manager’s job first and foremost is to deliver value to their customers with the products they oversee. In order to ensure quality, those products need to be tested. Testing before release in a well thought-out manner gives product managers the confidence to create and execute high quality products and user experiences.

With COVID-19, it has become clear that ideas and assumptions that worked in the past will no longer apply now and in the future. The region is expected to face its deepest economic slowdown since the 1970s due to COVID-19. Businesses might be wondering what to do next.

When SmartBear added TM4J to our product portfolio earlier this spring, it brought us one more step towards our mission: help teams achieve quality throughout the entire software development lifecycle (SDLC), no matter where they’re starting from. The addition rounded out our test management portfolio, offering a solution to those customers who seek a SaaS test management solution within Jira. So why the name change?

Deep learning has evolved in the past five years from an academic research domain, to being adopted, integrated and leveraged for new dimensions of productivity across multiple industries and use cases, such as medical imaging, surveillance, IoT, chatbots, robotic,s and many more. From NLP to computer vision, deep learning has been breaking the barriers of SOTA algorithms and providing results that were, otherwise, impossible to achieve.