AI Engineering: Composing AI Applications with Trust and Transparency
AI Engineering is the ultimate team sport. No other enterprise development involves more personas. There are many challenges across these personas during the development of an AI application. Software engineers struggle to orchestrate and compose disparate outputs from models, business rules, data, and RPA in a timely and repeatable fashion. If trust and transparency is also not introduced early enough in the development lifecycle, AI applications can stall making it to production due to risk management. This webinar focuses on Composing AI Applications with Trust and Transparency in a repeatable, scalable fashion.
· How to connect and orchestrate disparate outputs (Models, Rules, RPA, Data)
· How to compose, and unit test an AI Application
· How to infuse trust, transparency, and governance through the whole lifecycle