The keynote will cover the crux of why organizations need to embrace automation technologies and improve their overall testing workflows. Organizations across multiple industries, including telecom, media, CPG(Consumer Packaged Goods), and financial services, face a common challenge in identifying the performance bottlenecks in their apps that degrade the UX. To address this, they need to harness the capabilities of data science-driven testing that help automatically surface and debug the root cause of critical issues and improve app performance.This is where the testing maturity model comes into play. Adopting this model enables organizations to seamlessly transition from the nascent stages of testing with limited automation and siloed feedback loops to the matured stages of testing. On attaining the desired testing maturity, businesses can maximize their automation usage with optimized data science capabilities that help improve testing efficiency by:
These benefits not only help enhance app performances and customer experiences but simultaneously reduce overall costs for testing, development, and failure saving.
HeadSpin helps Telcos, media organizations, and large enterprises analyze and improve the user experience of their digital products through its global real device infrastructure, on the edge end-to-end testing, and ML-driven performance and quality of experience analytics.
The HeadSpin data science platform enables collaboration among global teams to accelerate release cycles, build for complex real user environments, and proactively detect and resolve issues whether at the code, device, or network layer. HeadSpin currently works alongside a number of global telco and media organizations today to:
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