Systems | Development | Analytics | API | Testing

Hitachi Vantara: A Clear Vision for IIoT

Remember way back around 2016, when “IoT” was just entering the lexicon? The technology behind the “Internet of things” was starting to be used across industries. In the energy space, for example, companies used it to capture data being sent from tens of thousands of sensors from various equipment, like inverters, controllers, anemometers (wind speed detectors), cloud-watching cameras, and more.

Cloud Object Storage-based Architectures are Natively Scalable and Available

There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.

Effective mobile testing strategy to help streamline testing

Today's smartphones are far more than a device used for calling or texting. With several apps installed, they can become your virtual personal assistant. In a mobile-centric digital world, delivering an immersive mobile experience with consistent quality is a real challenge, where QA strategy plays a critical role. Carefully planning out what should be executed is the first important step to delivering fully-functional applications, gaining high retention rates and achieving business goals.

Creating WebView Content Blockers with Flutter InAppWebView

In this article, we are going to learn how to create a custom Content Blocker for our WebView instances using the flutter_inappwebview plugin. Content Blockers are usually used for blocking ads, but you can also use them to block any other content. Blocking behaviors include hiding elements, blocking loads, and, on iOS and macOS, stripping cookies from WebView requests.

9 AI Trends That Will Revolutionize Data Science

Data science is vital to business success. It’s our window into the likes and habits of our customers, creating opportunities to glean insights from the mountains of data we collect every day. Data has always helped businesses with decision-making, but AI is taking it a step further. So much so that today it can even be applied to the practice of creating impressive email subject lines. Machine learning for information management is now a key ally for every organization worldwide.