Eggplant Blog

Six Ways Intelligent Automation Helps You Optimize Mission Outcomes

8/2/18 / by John Bates posted in UI testing, User Testing, artificial intelligence

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Testing is critical for organizations like NASA, the US Army, Northrop Grumman, BAE Systems, Lockheed Martin, MBDA, the UK’s Ministry of Defense and the Metropolitan and Scottish Police, where lives are on the line. As we've worked with customers like these over many years, we've noticed how much more testing is than just making sure the system works — it’s about ensuring we test for mission success and continuously optimize mission outcomes. Whether you're designing systems for command and control (C2); to provide support for complex police operations, such as hostage negotiations; or for shooting down an enemy missile, you should plan your testing and monitoring strategy to continuously test against the desired mission outcomes. 

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Introducing Eggplant AI 2.1 and New Accelerators

7/12/18 / by Gareth Smith posted in artificial intelligence, continuous integration, continuous delivery, real user monitoring

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Shift Up: Out of One Tool, Many

5/31/18 / by Michael Giacometti posted in DevOps, User Testing, User experience testing, artificial intelligence, shift left, shift right, shift up

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This is Michael's third blog in his Shift Up series. You can read the first blog here and second blog here.

On May 21, 2018, Bank of America announced that it was rolling out its chatbot, Erica, to all its mobile customers. On the surface, the premise makes sense. It’s making the bank more relatable. It’s providing real-time customer support to people where artificial intelligence (AI) assistants like Siri and Alexa are becoming the norm. It doesn’t have the limitations that some phone-based IVRs have, and it aims to provide immediate assistance instead of making us wait for a human (we’ve all shouted “representative” or pressed zero dozens of times to get a real person). Erica is a great way for Bank of America to optimize the customer experience.

But let’s pull back the covers and ask some basic questions. How does Erica know the customer so well?  How does Erica pull from different sources of information? How does Erica know what products and services to offer? What systems, both homegrown and third party, does Erica need to be effective? 

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The Need to Shift Up in QA

4/11/18 / by Michael Giacometti posted in Digital Experience, Quality assurance, User Testing, artificial intelligence, digital automation intelligence, shift left, shift right, shift up

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Sometimes I feel as if I’m the Forrest Gump of quality assurance (QA). Since 1998, I’ve been through the beginning of automated integration testing and service virtualization through being a co-founder of Class I.Q. (now IBM Greenhat). I’ve been through the first phases of an automated testing center of excellence (ACOE). I’ve been there for the start of risk-based testing, and I’ve been a part of the transformation of QA from a somewhat necessary function to something that is now the core and chief concern of any company putting out quality software and apps.

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The Journey to True Test Automation is Shorter Than You Think

3/13/18 / by JB Brockman posted in DevOps, Digital Experience, User experience testing, artificial intelligence, continuous delivery

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Everything about software has changed—how it’s architected, developed and produced, what it does, what users want from it, and how often they expect new features. To keep up, organisations are turning to continuous delivery and DevOps. Yet product teams still do a lot of manual testing, which consumes a lot of time they don’t have, thanks to shrinking test windows. Incorporating automation into your testing approach is a great strategy, but figuring out where and how to start isn’t necessarily quick and easy.

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Better Bug Hunting for Improved Team Productivity: Announcing Eggplant AI 2.0

2/13/18 / by JB Brockman posted in Digital Experience, Test automation, User Testing, artificial intelligence, continuous delivery, digital automation intelligence

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We recently co-hosted a webinar with Bloor Research about the Future of Testing, and in it, we conducted an informal poll about artificial intelligence (AI) and testing. When we asked what everyone thought the biggest advantage was to incorporating AI into a test automation strategy, attendees overwhelmingly selected team productivity and efficiency.

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Are You Ready for the Future of Testing?

1/31/18 / by JB Brockman posted in DevOps, Test automation, User Testing, artificial intelligence, continuous delivery, digital automation intelligence

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The focus on artificial intelligence (AI) in general, in technology, and particularly in testing, is prompting organizations worldwide to take it seriously. It’s hard to ignore AI’s potential benefits, including improved productivity and efficiency, fewer defects, a better UX, and happy customers. And with DevOps and continuous delivery here to stay, staying relevant depends on keeping pace, which is why test automation is so critical.

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Thrive in the Digital Economy With Intelligent Digital Experience Monitoring

1/9/18 / by John Bates posted in DevOps, Digital Experience, artificial intelligence

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For a while now (about 10 years), Dev and Ops have been trying to get along. After all, collaboration between the two creates fast feedback loops and gets high-quality software into users’ hands faster. But with a new space emerging, digital experience management, Dev and Ops need to make a new BFF—the business—to stay in sync.

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20 Smart Technology Predictions for 2018

1/3/18 / by JB Brockman posted in IoT Testing, User Testing, User experience testing, artificial intelligence

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A new outlook, optimism, and wonder. For me, the start of the new year is always exciting and prompts a lot of questions about how our space and our solutions will evolve over the next 12 months.

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Top Three Takeaways for Test Architects From Gartner Symposium 2017

11/14/17 / by Antony Edwards posted in software testing, User experience testing, artificial intelligence

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The annual Gartner Symposium/ITxpo in Barcelona, Spain, is a great pulse check for what's on the minds of CIOs in large companies (like banks, utilities, telcos, governments). It's not necessarily the place to see the absolute latest technology, but it is the place to see what organizational problems CIOs are trying to solve with technology, and what companies are rolling out next year.

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