Consumer technology moves fast. What’s shiny and new one day can quickly become a relic of the past when the next innovation or iteration comes along. Unfortunately, enterprises don’t have the luxury of simply plugging and unplugging technology into their digital ecosystem the way we as consumers unplugged our Sony Walkmans in favor of iPods and iPhones. This is especially true as we look to artificial intelligence (AI). AI has the potential to produce game-changing business outcomes based on data stored in legacy systems—if enterprises can figure out how to make it work.
In the 60 years since its foundation as a single gas station in Virginia, Pilot Flying J has grown to be the largest operator of travel centers in North America. With over 750 locations serving more than 1.6 million professional drivers and traveling motorists daily, Pilot Flying J provides its guests with overnight parking, showers, warm meals, Wi-Fi, and a vast array of merchandise.
Seventy four percent of companies are going through some form of digital transformation. With percentages that high, there must be value buried somewhere in these initiatives, right? From my perspective, having worked as a strategic advisor and Global CIO for over 20 years, the value comes to those pursuing transformation.
Rather than following a one-size-fits-all approach, the most successful businesses are rapidly tailoring offerings for customers in real time.
In my last article, we saw how we can install Mule 4 on a Raspberry Pi. And while Mule 4 runs perfectly fine on the latest Raspberry Pi’s, you may find yourself in need of a more scalable solution than a bare-metal runtime installation. In this post, we will look at running Mule in a Docker container on Raspberry Pi.
Buffalo Wild Wings (BWW) – one of the top 10 fastest-growing restaurants in the U.S. – had one goal: to create a compelling restaurant experience for their customers. But in the modern retail world, this goal proved difficult as today’s customers expect a personalized experience.
The Internet of Things (IoT) is supposed to have 10 times the impact of the Web itself, which means it has potentially 10 times the risk for complication, and, with its ubiquity, 10 times the risk to security. Each “Thing” we encounter in our daily and professional lives could potentially be connected within the next couple years. And with so many, many more players, manufacturers, protocols, and programming languages, it all gets exponentially more complicated.
MuleSoft’s lightweight Runtime Engine can be used to expose microservices and APIs on any IoT device. In this post, I will demonstrate how users can use MuleSoft and a Python script to create a simple API that lights up an LED bulb 10 times in a loop. To get started, please refer to the requirements, video tutorial, and steps below.
Raspberry Pi 3, LED Bulbs,
The world has worked itself into a frenzy over Pokemon Go, the augmented reality game where Pikachu and his associates appear in local shops and restaurants. Many observers may have looked at this and thought that virtual reality will never have any impact on the enterprise.
Not so. In fact, there are numerous digital transformation trends that can have value for the enterprise. While it’s tempting to think that trends like virtual reality,