Right before WWDC 2022, Bitrise announced the first scalable virtualized Apple Silicon M1 CI/CD dev environment. Then Apple announced M2 for iOS, and everyone wonders, is M2 in the cloud happening?
In this tutorial, we’re going to build an interactive customer Churn Insights Dashboard using the open-source Python framework, Streamlit, and the Continual predictions generated in Part 1: Snowflake and Continual Quickstart Guide. In Part 1, we connected Continual to Snowflake and used a simple dataset of customer information, activity, and churn status to build and operationalize a machine learning model in Continual to predict the likelihood of a customer churning.
Qlik enhances analytics exploration in Snowflake by launching Direct Query, a new capability that allows Qlik Sense applications and dashboards to query Snowflake directly using SQL pushdown.
Part 1 of the WWDC 2022 recap summarizes the key takeaways and learnings from Apple’s 2022 Worldwide Developers Conference.
Flutter enables you to develop applications for platforms such as Android, iOS, desktop, and the web from a single codebase. As a multiplatform UI toolkit, the Flutter team is dedicated to enabling all kinds of developers to quickly build and release applications. Game developers, for instance, are now able to build beautiful game apps without worrying about performance, load times, and app sizes. This tutorial will provide you with an introduction to the Flutter Flame game engine.
With the increase in malware attacks on devices, engineers are putting more effort into ensuring the products they build are not vulnerable to these attacks. One such tool that can help mobile engineers reduce vulnerabilities is Mobile Security Framework (MobSF).
We’ve just revamped the People and Groups pages to make team management simpler and more straightforward. Goodbye, separate People and Groups pages, and welcome Team page!
Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.
