Blog
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?
Walking into VivaTech 2019 was an immediate inundation of elaborate booths, cutting edge tracks from celebrity entrepreneurs (shoutout to Jack Ma) and the latest innovations from start-ups (9000 of them, to be exact) and large companies. All of this set in motion to provide a venue to discuss and showcase what the next best thing is within the digital industry.
When companies invest their time and money into building a product, they're making a bet that the end result will be genuinely useful to their customers. Are these investments always a gamble? Is there a way to consistently build products that solve real problems for real people? By listening to the needs of users who are unlike us, we can more easily catch the assumptions that have the potential to sink our products.