Artificial intelligence is a foundational catalyst for advanced process automation and human augmentation and engagement. But, AI and the use of ML models to make autonomous (and automated) decisions raise a new level of concern that an AI system is operating in an ethical and fair manner. EA and TI leaders must be prepared to establish governance principles, policies, best practices and technology architectures to increase transparency and trust regarding data and the use of AI.
Automation is highly dependent on the organization’s existing IT architecture and business practices to be successful. Wether you are leveraging robotic process automation to connect legacy and modern systems or hyperautomation to connect a combination of multiple machine learning, packaged software and automation tools to deliver work.