Systems | Development | Analytics | API | Testing

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

Many businesses find it hard to use data to make business decisions, even though data is becoming an increasingly valuable asset for driving business growth. The data maturity model can help you identify the gaps in your data strategy that are stopping you from reaching a high level of data maturity. In this article, you will learn.

Data centers consume a lot of energy; some say it can be as much as 1.8% of total U.S. electricity consumption. It’s why power consumption, cooling costs, and space requirements are at the heart of the sustainable data center.

WebSockets and Server-Sent Events are commonly used in realtime applications where quick and efficient data transfer is a critical requirement. The expectations of realtime experiences in applications has only grown with time, with improving technology and understanding of what is possible. This article compares two popular realtime protocols — the WebSockets and Server-Sent Event APIs. Below you’ll learn what each is capable of, their pros and cons, and when to use them.

ActionCable allows developers to move away from the typical request/response paradigm of old to one where persistent WebSocket connections are maintained from clients to your Rails servers. Event-driven and low-latency, WebSockets are an excellent choice for use cases like live chat, alerts & notifications, and realtime data broadcast.

Knowledge is powerful – but only when it’s used and shared.

A good data governance strategy should benefit all users of your organization’s data—not just those with technical responsibility for it. Recent years have seen the increasing importance of data as a strategic asset, as several companies have used it to unlock and create value. Increasingly, companies are turning to data governance programs as a foundational pillar of their data strategy (like data mesh) to improve their data sets’ quality, consistency, usability, and security.