For every organization, innovation and resilience is the only thing that keeps them motivated to keep going amidst a global pandemic.

IoT application testing is an essential part of smart device development. Just like any other system, the IoT systems have to work seamlessly well in the desired environment during their deployment. Hence, it demands rigorous testing as they are often deployed in heterogenous application platforms with various infrastructural dependencies. The devices are also mostly located far from any

Most organizations spend thousands of hours creating QA tests for applications, meticulously breaking down the application and debugging it from release to release. This enormous amount of time spent in manual testing produces very little outcome as it slows down development and affects productivity. Automating the testing by injecting test automation scripts into every stage of the test cycle

Artificial Intelligence and Machine Learning (ML) are the next steps to digital evolution that are redefining technology across the testing landscape. In terms of application development, there are newer requirements and trends such as Rapid Application Development (RAD) and Continuous Integration (CI) that are pushing the Quality Assurance teams to include automation at every step of the testing

Deliver high quality software with AI-powered test automation tools, by speeding-up software development and streamlining production and test cycles with minimal manual involvement in mundane processes

In the past few years, IT has witnessed an evolution of virtualization in the form of cloud computing and as a model that views everything “As a Service”. With the use of virtualization, the idea of sharing computing resources across multiple operating systems to increase scalability, reduce costs and enable easy administration of IT infrastructure, has become a reality. Cloud-based testing can

“By 2025, nearly two-thirds of digital innovation factories will be prolific software producers with code deployed daily, over 90% of apps cloud-native, 80% of code externally sourced and 1.6 times more developers than today.” - IDC “We had a great plan, a competitive product, but still, we failed in the market”. Many of us would have come across such a statement when it comes to failed product

We are in the age of extensive digital transformation with the rapid development of mobile and cloud technologies.

Innominds has partnered with Appvance.ai, the inventor and leader in AI-driven testing, to help next-generation businesses capitalize on the disruptive power of AI-driven solutions. Marking a new beginning of this collaboration, Kevin Surace, Chairman & CTO, Appvance.ai, shares his thoughts in this guest blog

AR/VR is currently creating positive disruption for a vast number of operational processes: from design and rapid prototyping to the final production and assembly.