Digital transformation

Digital transformation #mindcandy: The model is not the moat

You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction — it’s how fast your leadership team can notice, anticipate and respond to change. Hence mind candy: an information stream to help you and your team think about what’s next. Context is the differentiator Models are […]

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Digital transformation #mindcandy: the agentic C-suite

You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next. AI becomes the system. Leaders become

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Digital transformation #mindcandy: Garbage in, chaos out

You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next. ‘Garbage in, chaos out’: overcoming the

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Digital transformation #mindcandy: Are you AEO ready?

You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next. Answer Engine Optimization Google’s worldwide market

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Digital transformation #mindcandy: citizen development

You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next. 60% of custom applications are now

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Digital transformation #mindcandy: AI reliability 

The future is future fitness. The advantage isn’t prediction. It’s how fast your team can notice and anticipate change and respond. Karpathy’s March of Nines shows why 90% AI reliability isn’t even close to enough If AI gets 1 in 10 decisions wrong, that is not intelligence at scale. That is failure at scale.  Andrei

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