Panel on Industrial AI-1: Prognostics & Health Mgmt.

Today�s industrial machines are hyper-connected to the Industrial Internet of Things (IIoT) and have highly capable Edgecomputing.
As a result, they are constantly generating a wealth of diverse data
that is analyzed and consumed by other machines or human operators.�
This requires advanced descriptive, predictive, and prescriptive
analytics capabilities, which typically combine physics-based and
data-driven models. Within
this context, the panel will cover industrial applications of AI,
ranging from production to manufacturing, quality control, operations,
and maintenance. We will extend the discussion beyond the underlying AI
technology to cover Business and Technology Challenges.� We will explore
Business Models to monetize AI-improved processes or AI-enabled
services or products; KPIs for AI-enabled process improvement;
Productization of AI-enabled services and products; AI Technology
development and deployment; Technology sustainability, such as Model
maintenance, etc.