Houston we have a problem: mission critical testing in space exploration

When it comes to space exploration, there is a lot to take into consideration. From take-off to landing, a single flight takes many years of preparation. Space is arguably the harshest and most extreme environment, with an unimaginable volume of computers and technology. Add to that, exposure to extreme conditions, materials and equipment sent to space must be sophisticated enough to withstand these pressures and continue working as expected.

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Caitlin Stanford
Why digital twins need AI-driven testing

Digital twins continue to gather steam, with Gartner predicting the use of digital twins to triple by 2022. A digital twin is a digital representation of a physical object or system. They are being widely used within supply chain management to track items as they move across companies, also using blockchain technology, and within automated factories to track wear and tear and perform predictive maintenance to reduce downtime.

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Caitlin Stanford
How AI and machine learning enable testing to keep up with IoT

The internet of things has penetrated every aspect of our lives, and it’s transforming how we test and develop software. With the IoT market projected to be worth $1,490.31 billion by 2024, this explosive growth is set to continue. However, testing procedures and processes are not ready to test IoT and, if no change occurs, it’s likely to result in delays in deployment, updates and user acceptance.

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Caitlin Stanford
Keeping Customers in the Digital World

Customer Experience Magazine

Today, customer data, knowledge, and insights are more valuable and of more strategic importance than ever before. Customers have more options, greater access to pricing information, and greater means to share their experiences with others, both good and bad, yielding more power, choice, and influence than ever before.

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Caitlin Stanford