Today's Internet of Things-like (IoT) products are embedded with software and electronics, real-time and ubiquitous connectivity and data communications, smart embedded sensors, real-time data analysis based on artificial intelligence and other complex and sophisticated technologies. With a Digital Twin, the manufacturer can open this data for developers, test scenarios and learn from collected data, make changes or updates, and ask what-if questions to simulate conditions based on real data that would not be realistic to attempt in real life. All testing is done on the digital twin first, giving the flexibility to walk through multiple scenarios prior to making a decision that could impact business processes, operations and employees. The adaptability that this can provide a company to innovate, develop and evolve without disrupting day-to-day operations is invaluable. Third-party developers will also be able to contribute to a manufacturer's experienced innovative depth — similar to how the apps on AppStore makes the iPhone more attractive than the innovation Apple let alone can provide.