There was a great podcast recently, hosted by Walker Reynolds and the 4.0 Solutions, featuring Jordan Reynolds, VP of AI at Rockwell Automation. I’d urge you to have a listen to this episode (link in the comments), as there are great discussions on many areas of AI and autonomy.
One area in the discussion that really hit home for me was about internal and partner skills to solve problems. Jordan suggested “if you have either through a system integrator partner or internally in your organization to; access the data feature, transform it, train the model, evaluate the model, deploy it, and manage it in an edge compute surface, and that model satisfies the objectives of your use case, you should do it that way.”
Most industrial companies don’t have that skill set internally, and Walker reinforces that point. However, your ecosystem most assuredly does have the resources and knowledge to help execute the steps needed, helping to speed up the process, and do so in a way that doesn’t burden your financial resources in a manner that doing so in house may.
While this conversation was in the context of machine vision, this scenario is persistent in many industrial settings. Very rarely are people to data, data to technology a simple 1:1 interaction. Integration of your human and technology resources, in a streamlined process, delivering maximum value is the joy of the ecosystem.
Avoiding black box technology, focusing on problem solving, and using standards or pre-built integrations are all partner led motions that can increase your success.
