Technology has an important role to play in helping stop the spread of the Coronavirus. Here at Eggplant, we are contributing our Digital Automation Intelligence (DAI) platform to help test contact tracing applications across the globe.
According to a recent InformationWeek article by John Edwards, “Good times or bad, digital transformation is a firmly established reality. Yet many business leaders are still struggling with how to approach, deploy, and manage a seemingly endless string of disruptive technologies.” Edwards goes on to argue that technological factors are one of the chief issues impeding digital success and, as any reader of this blog will know, this is a problem Eggplant is passionate about solving.
In a recent piece on how organizations are grappling with the pandemic, CIO’s Clint Boulton wrote, “As the COVID-19 coronavirus rattles industries, it’s more important than ever for IT leaders to ensure employees have the tools they require to work remotely and securely.” This is certainly true, but it’s equally important that business continuity plans include strategies for ensuring that customers and partners are able to receive the digital products and services they rely on throughout the pandemic’s duration.
In the previous post in our series on the business implications of the coronavirus pandemic, we explored the importance of performance and scalability testing. Today, we’re examining a related topic: namely, how automation can enable workforce agility and reliable technology even as global teams are working remotely for an indefinite period of time.
We are in a Digital Testing Epoch. Are you ready?
The Digital Testing Epoch will be one that divides some Testing organizations who rely upon outdated tactics against those that embrace new technology, methodologies, and are very agile.
Earlier this month, we were delighted to learn that our Digital Automation Intelligence Suite took top honors in the Best DevOps Tool category in the competitive SIIA CODiE Awards. The awards are the only such program in the tech industry where peers are responsible for vetting and scoring the submissions, meaning that, as the organizers’ state, each win “serves as incredible market validation for a product’s innovation, vision, and overall industry impact.”
In previous MythBusters posts, we’ve debunked the notion that testing is solely a compliance function and examined how AI is delivering value in testing today. In this blog, we’ll explore how today’s complex, hyper-connected world has elevated testing to a strategic corporate priority.
In the first post in our MythBusters series, we examined the misperception that testing is solely a compliance activity and showed how it’s actually a business critical function with bottom-line impact. In this installment, we’re looking at the role AI plays in the industry, the numerous misconceptions that abound, and why it’s important that companies cut through the noise to understand how the technology can benefit them today.
In a recent Forbes interview on the retail customer experience, Harley Manning, VP and research director of Forrester’s customer experience team, said; “Customer expectations are rising slowly—but faster than brands are making improvements.” He further elaborated that the average score in the firm’s CX Index™ for US digital retailers decreased from the prior year, with no retailer breaking through the 85th percentile to make it into the “excellent” category.
Yupp, you’ve guessed it, HTTP. HyperText Transfer Protocol (HTTP/HTTPS) is the go-to language for IoT devices, in that it’s the protocol used when devices talk to each other via the internet. I know what you are thinking: what about everything we’ve heard about security in the news? Surely there is nothing more important than security in IoT? Security was a close second for me when deciding the most important thing about testing, but here’s why HTTP pipped it to the finish line…