Chad Hutchinson, Crystal Group; Joe Speed, ADLINK; Nick Fragale, Rover Robotics
AI is often defined as the science and engineering of making intelligent machines. This rather simple and broad definition spans numerous systems and industries and its implications are immense. Applications may jump out – automation of a process or task, reactive intelligence that analyses data sets and takes actions on the information, or analyzing large data sets and generating actionable predictions. As engineers set about the task to realize the objectives, key issues arise – What kinds of hardware platforms and resources are required? What kind of network connectivity and integration is needed? What functions reside in the cloud? Join us as experienced AI professionals discuss architecture, platforms, and software challenges and solutions for AI development.