SUM-21-67 A Case for Balance: Artificial Intelligence vs Human Intelligence (and Maximizing Equal Value from Both)

Description:

The accuracy and quality of results created from AI and machine learning is dependent upon the scale, scope, and quality of data they consume. Which is equally true for achieving maximum levels of performance from human intelligence. Approaches and methods will be presented based on actual use cases that ensure that AI initiatives equally enable the rich set of tribal knowledge and experience embodied by an organization's human assets. Takeaways: 1. Value of option to let your data environment define your AI activities (versus defining the problem and then shop for the data) 2. Value and potential contributions and benefits achievable from information enabled human assets 3. Full appreciation of AI data challenges and methods for addressing those needs