Systems | Development | Analytics | API | Testing

The 7 Ts of product-Led Transformation

Transformation is a word that isn’t commonly favored by the product community. Why? Because transformation programs rarely allow product teams to autonomously decide how they will achieve their mission. Transformation programs also incur significant costs. According to CIO Magazine, global spending on digital transformation technologies and services was US$1.3 trillion in 2020, of which 70% of that spend is wasted. That is approximately $900 billion.

How Parallelization Can Improve Visual Testing

Harder, better, faster, stronger: depending on your age, these words will probably get Daft Punk or Kanye West stuck in your head. This mantra can apply to web app testing as well: the better and faster your test scripts run, the faster you can fix bugs, release better code, and deliver a stronger web app to make customers happy.

How to build and distribute iOS apps without Mac with Flutter & Codemagic

It’s hard to imagine developing apps for iOS without a Mac computer. There is no sign of this changing any time soon, but there are still ways to build the app for iOS and release it to the App Store even if you don’t have a Mac. With Flutter and Codemagic, you can build and distribute iOS apps without buying a Mac computer yourself.

Mobile UX: Five ways fintech apps are outcompeting traditional banking apps

One of the most important factors when choosing a finance app is user experience. We reveal five important UX processes that fintech apps use to remain competitive and why traditional banks should adopt these methods to minimize the loss of valuable customers.

An Introduction to Deno: Is It Better than Node.js?

Deno is a JavaScript and TypeScript runtime similar to Node.js, built on Rust and the V8 JavaScript engine. It was created by Ryan Dahl, the original inventor of Node.js, to counter mistakes he made when he originally designed and released Node.js back in 2009. Ryan's regrets about Node.js are well documented in his famous'10 Things I Regret About Node.js' talk at JSConf EU in 2018.

Unified data and ML: 5 ways to use BigQuery and Vertex AI together

Are you storing your data in BigQuery and interested in using that data to train and deploy models? Or maybe you’re already building ML workflows in Vertex AI, but looking to do more complex analysis of your model’s predictions? In this post, we’ll show you five integrations between Vertex AI and BigQuery, so you can store and ingest your data; build, train and deploy your ML models; and manage models at scale with built-in MLOps, all within one platform. Let’s get started!