Overview
In 2025, as enterprises have successfully switched from an API-driven to an AI-first mindset, passive watchers of this ongoing trend have a long to-do list to avoid becoming irrelevant. This year, global spending on Generative AI (GenAI) is expected to increase by more than 76%, totaling up to $644 billion, according to a research forecast by Gartner, Inc. Despite skepticism against extensive AI usage for displacing human intelligence and creativity, the benefits of boosting operational performance and productivity remain indisputable. Several enterprises with mature engineering practices and an AI-first mindset have moved beyond the initial POC and experimentation stage in the software development and testing landscape. They are more likely to reap its transformative impact while moving towards an Agentic era where their development and quality assurance (QA) teams can fully entrust autonomous agents. However, before we leap forward into the future led by ambitious Agentic AI initiatives, every CXO needs a thorough grasp of the evolving AI-driven QA that will define the success of their digital transformation goals in 2025 and beyond.
In this whitepaper we cover:
- AI Technologies Central for QA Transformation
- Unpacking AI-driven QE Use Cases Across the STLC
- Practical Applications of AI in Various Testing Stages And more.
