This document discusses intelligent digital testing in an environment of intelligent hyperconnectivity across domains. It outlines the benefits of AI/ML for testing, such as using AI to generate test scripts and identify bugs. An intelligent testing approach is proposed that uses a bot to identify assets, optimize test cases by eliminating duplicates, automate testing, and analyze results to predict future defects. Challenges of intelligent testing are also addressed. The business benefits are improved quality, efficiency, revenues and customer satisfaction through optimized testing coverage, quicker time to market, and data-driven insights.