Blog
Attention digital marketing writers/UX writers/technical writers! Have you spent your happy days writing product descriptions, promotional emails, or button copy—and suddenly someone has asked you to write for a design system? Maybe you smiled nervously and said, “Yeah, sure, I can do that. Absolutely. You betcha.”
Online payments have made tremendous advances in the past five years. As easy as they may seem today, even the simplest checkout experience is still supported by a complicated financial system. Every time you sign up for a new streaming service or click “purchase” in your shopping cart, you’re interacting with a complex web of payment gateways, card networks, bank servers - and legal bodies that oversee it all. Recently, Europe has introduced new legislation that will add to that complexity and could cost European businesses up to €57 billion.
Across industries, the shift to digital solutions has exponentially increased the amount of data that’s generated - estimated at more than 2.5 quintillion bytes per day and growing. As a result, the way that organizations define, create and measure value has changed, along with the speed at which they use that data to drive innovation.
Artificial Intelligence (AI) is everywhere. However, AI is often discussed in theory or in a futuristic manner which can make it difficult to understand. So, how can AI be applied in a practical way to help your organization innovate right now? In this post (and podcast) we’ll dive in and demystify AI to help you better understand how it can be applied to your business.
As every organization is different, adopting Cloud Native architectures has unique challenges depending on a variety of factors. In this post, we will not only highlight the benefits of adopting Cloud Native architectures but also clarify misconceptions of what it means to be Cloud Native. We’ll discuss the barriers that Cloud Native can help you overcome to addressing some challenges when adopting Cloud Native and how your organization can get started. On that note, let’s dive in!
You're at work and your team has adopted Docker for development. That's great! Everyone is using your custom Docker image to manage dependencies and any other environment requirements. You've nearly made it look just like your production environment. High five!
In the age of digital transformation, organizations are striving to transform their infrastructure in order to improve their software delivery performance so that they can bring new products and ideas to market faster than ever before. Organizations are achieving these goals by embracing DevOps - but what exactly is DevOps? Let’s dive in.
Going by how companies market themselves and what the media reports, it seems Artificial Intelligence is everywhere these days. However, despite the hype, there is very little actual use of AI in production today. Sure, there are companies such as Google and Amazon that use AI in their products to assist you in writing your email replies or recommending products you might be interested in. However, most people still go through their entire day without getting help from or delegating work to an AI. Why is that? Where are all the AIs we keeping hearing about?