Systems | Development | Analytics | API | Testing

Enterprises who are actively increasing their AI maturity in a bid to achieve business transformations often find that with increased maturity comes increased complexity. For use cases that require very large datasets, the tech stacks required to meet business needs quickly become unwieldy.

We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?

Node.js has seen meteoric growth in recent years, making it one of the most popular programming languages on the web. By combining Javascript on the front end with Node.js for backend development, JS developers can create powerful and scalable apps that offer benefits not found elsewhere.

APIs, or application programming interfaces, have become vital components for businesses looking to compete in the digital economy. What draws business operations toward API implementation is the fact that APIs afford businesses the opportunity to get more out of their valuable data. Considering that the worldwide API management market size is projected to reach over $13 billion by 2027, it’s clear that APIs have created a prominent place for themselves in the digital economy.

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. McKinsey estimates that by 2035, 50% of energy will be wind and solar.

For the next interview in our series speaking to tech founders from around the world, we’ve welcomed Shemmy Majewski, CEO at Dlabs.AI.

Memoization is a caching technique to make your Ruby application run more efficiently and faster. In this post, we'll look at the benefits of memoization and when to use it in your Ruby application. We'll also look at some memoization mistakes to avoid. Let's first start by looking at code optimization — what it is and some of the different optimization techniques available.

The mobile testing pyramid is a set of guiding principles that help establish a strategy for unit testing, integration testing, and end-to-end testing for mobile apps. Laurent Sigal shared tips to master the mobile testing pyramid at this year’s Mobile DevOps Summit.