"There is a famous story about how Ford and Mazda applied new information technology entirely differently -- one of them successfully. The story takes place in the early nineties, when most corporations had heavily invested in automation technology like SAP. Ford and Mazda had both implemented ERP systems to improve their procurement processes. Ford owned a minority stake in Mazda and therefore had insights into their operations. At some point, Ford noticed that Mazda employed only about 5 people to run procurement whereas Ford had over 500. How could both companies run the same process, for the same type of business, with the same new technology, but only one of them was reaping the benefits?"
"There is a common set of challenges to technology adoption that is repeated throughout history." "The same is true for AI. Organizations will need to develop a new set of engineering capabilities to adopt and diffuse AI at scale."
The author (Wouter Huygen) breaks these down into 2 dimensions: developing and implementing AI solutions, and building enterprise AI capabilities. For "developing and implementing AI solutions" he further breaks it down into 5 levels: 1. Vision & strategy defined, 2. Proof of concept developed, 3. Production ready, 4. Embedded in work flows, and 5. Scaled and continuously optimized. For "building enterprise AI capabilities" he further breaks it down into 4 levels: 1. Legacy and fragmentation, 2. Frog leap innovation, and 3. Platform standards.
"The crux: the two dimensions are usually not in sync."
Next are the pillars. "The practice of AI engineering consists of 3 key pillars of capabilities that have to work in sync: 1. AI Business Engineering. Re-imagining your business processes, business model, and changing your way of working. 2. AI Solution Engineering. Developing end implementing AI solutions to drive those new processes. 3. AI Platform Engineering. Building enterprise AI platform capabilities to sustainably build AI solutions at scale."The New Art of AI Engineering
Why the real impact of AI is yet to come and how to make that happenmedium.com