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.
We're excited to share Ably’s newest feature, Subscription Filters. It gives subscribers to a channel the ability to easily create their own custom realtime data feeds, by selectively subscribing to receive only part of the data from the channel. For a publisher, the advantage is being able to create personalized data streams for large numbers of individual clients, without having to worry about the scalability, maintenance, and reliability of a complicated realtime data feed infrastructure.
Quality assurance is a crucial differentiator in today's software marketplace. Gartner reports, "48% of software engineering leaders say customer or user satisfaction are among the top three objectives they are measured on." (Source: 2022 Gartner Software Engineering Leaders Role Survey). In essence, software quality directly influences customer satisfaction. A cornerstone in ensuring such quality is regression testing.
At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. That’s why at our annual user conference, Snowflake Summit 2023, we unveiled new features that further extend data programmability in Snowflake for their language of choice, without having to compromise on governance.
Not even Tim Berners-Lee, the inventor of the world wide web, could have predicted the pace or breadth of its expansion over the last 30 years. Once, the web was only accessible via clunky desktop computers: today, it can also be reached from laptops, tablets, mobile phones and even smartwatches. What’s more, consumers want native apps that are unique to a particular platform and they expect updates to be provided seamlessly.
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?
