By Alexandra Gunderson
Advances in AI and machine learning have been tremendous in recent years and impact our lives in many different and significant ways. We’ve seen self-driving cars become a reality, we are able to communicate with our homes using Alexa, and we are able to draft responses to our emails using AI virtual assistants. In this talk, we will discuss a methodology for building hybrid engineering and machine learning models that may be applied cross-equipment and industry.
- Why analytics in industrial space is more challenging than analytics in consumer space
- What we can learn and leverage from successful analytics projects
- Methods and tools for getting started with AI in industrial space