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**Interesting connection to AI Training / Research:** The overall approach / objectives of the WBR seem very similar to how Ilya Sutskever described how they approach AI training / research. The focus is less on “new ideas,” and more on understanding the behavior of the system. Here’s the quote:
> “Coming up with new ideas is actually just a modest part of the work. Even more important is to understand the results…to understand what’s going on…figuring out the next experiment to run. A lot of the time is spent on that. Understanding what could be wrong, what could have caused the system (neural net) to produce a result which was not expected.”
The real driver of progress / execution / performance/ superior results comes *less* from the generation of the new ideas, *more* on the ability to understand WHY the outcomes are happening. To put it another way: the better you understand the system, the better your innovation and performance will be.
The Amazon Weekly Business Review - Commoncog
The Commonplace Community
Nordstrom is, in the words of strategist Christina Wodtke, “experimenting with their customers, not on their customers.”
Sense and Respond
Jeff Gothelf, Josh Seiden
The modern world is completely ga-ga over data. Data is everything — it will sing magical songs to you. No, it won’t. Data analysis without hypothesis is just data mining. But if you use data — and the ever-increasing capacity to collect and process data faster — to refine, deepen, and enhance your understanding of your current room, you will be able to answer questions and frame new questions that will get you into the next room, and get there earlier. ... When these companies refer to *data* advantage, it is really a *questions* advantage. Only if you have a great question can you get a great answer.
What Strategy Questions Are You Asking?
Roger Martin
...catch up on these, and many more highlights
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