Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.

According to IndustryARC, the AI market in the travel and hospitality sector is projected to surpass $1.2 billion by 2026, with an anticipated CAGR of over 9.7% from 2021 to 2026. Artificial intelligence is reshaping the travel experience, guiding every step from the initial spark of wanderlust to when travelers return home. A new wave of AI-powered chatbots simplifies the booking process by managing tasks like flight searches, hotel reservations, payments, and even baggage tracking.

Java provides the essential tools and libraries to deliver exceptional results, from crafting desktop applications to developing mobile apps and complex enterprise systems. With unparalleled versatility and portability, Java is a top choice among developers and one of the most widely used programming languages globally. However, like any programming language, Java isn’t immune to errors. Specifically, runtime errors are a frequent hurdle that developers must navigate.

Feature flags are a powerful tool in software development, allowing developers to control the behavior of an application at runtime without deploying new code. They enable teams to test new features, perform A/B testing, and roll out changes gradually. In Ruby on Rails, feature flags can be managed using diverse tools, the most popular being the Flipper gem.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

Service virtualization, which gained prominence in 2012, has significantly transformed the way software testing and development are approached. Originally designed to address limited access to dependent systems during development, service virtualization has evolved into a critical technology for enabling efficient and continuous testing. This blog explores its origins, key advancements over the past decade, ongoing challenges, and how API simulation is shaping the future of testing.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

All but the simplest applications borrow code. You could write everything yourself from just core language features but who has time for that? Instead you take on dependencies, pieces of code written by others that usually give us 80% or more of what we need with 20% of the effort. Sometimes these dependencies are made to interact with a specific technology like a database, or perhaps it’s just a library providing some feature that would be onerous to write yourself.

A relatively new term in the world of data management, data mesh refers to the process of creating a single, unified view of all enterprise data. This process can happen in several ways, giving business users easy access to the data they require for decision-making. Several principles guide data mesh design and implementation. This article will discuss the principles of data mesh and how they can help your business get the most out of its data.

The evolution of APIs (application programming interfaces) has been all the hype in recent years. In many ways, they're powering the modern internet as they open doors to organizations and developers around the globe. Data shows that 98% of enterprise leaders believe APIs are essential for survival concerning digital transformation, yet most struggle to develop a comprehensive rollout strategy.