Artificial Intelligence (AI) and Machine Learning (ML) have ground-breaking potential across all sectors of industry and science: the outputs of AI / ML have remarkable possibilities – it increases our accuracy, speeds our decision making and increases our productivity. In this presentation, we will explore and embrace AI’s promise in accelerating the entire software testing cycle and demonstrate specific areas where AI and machine learning have led to demonstrable improvement in software quality improvement, testing cycle time reduction and better software bug prediction. This discussion will also explore real-world use-cases, benefits, and limitations on how testing and QA organizations are embracing AI and ML techniques.