#knowledgemanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #knowledgemanagement, aggregated by home.social.
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Shinhan Builds AI Agents to Capture Department Heads’ Know-How
A view of Shinhan Financial Group’s headquarters. Shinhan Financial Group Shinhan Financial Group has begun building “department head…
#EuropeSays #Korea #KR #Seoul #artificialintelligence #JinOk-dong #knowledgemanagement #personaagent #ShinhanBank #ShinhanFinancialGroup #vibecoding
https://www.europesays.com/korea/168189/ -
Where I landed, after three posts circling the same question.
The knowledge innovation loop does not need a human at its centre. It needs something intelligent enough to meet the needs of its five stages. For now that is us, because we are the ones setting the goals.
The first stone tools were made by our ancestors, before our own species existed. The loop was already turning without us once.
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Where I landed, after three posts circling the same question.
The knowledge innovation loop does not need a human at its centre. It needs something intelligent enough to meet the needs of its five stages. For now that is us, because we are the ones setting the goals.
The first stone tools were made by our ancestors, before our own species existed. The loop was already turning without us once.
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Where I landed, after three posts circling the same question.
The knowledge innovation loop does not need a human at its centre. It needs something intelligent enough to meet the needs of its five stages. For now that is us, because we are the ones setting the goals.
The first stone tools were made by our ancestors, before our own species existed. The loop was already turning without us once.
-
Where I landed, after three posts circling the same question.
The knowledge innovation loop does not need a human at its centre. It needs something intelligent enough to meet the needs of its five stages. For now that is us, because we are the ones setting the goals.
The first stone tools were made by our ancestors, before our own species existed. The loop was already turning without us once.
-
Where I landed, after three posts circling the same question.
The knowledge innovation loop does not need a human at its centre. It needs something intelligent enough to meet the needs of its five stages. For now that is us, because we are the ones setting the goals.
The first stone tools were made by our ancestors, before our own species existed. The loop was already turning without us once.
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Two questions from this week's post that I cannot answer well.
Research suggests domain experts get the most out of knowledge tools. If AI takes on more of the discovery work, where does the next generation of expertise come from?
And if we all work with models trained on the average of human knowledge, does our own thinking drift towards the average? Innovation lives at the edges.
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Two questions from this week's post that I cannot answer well.
Research suggests domain experts get the most out of knowledge tools. If AI takes on more of the discovery work, where does the next generation of expertise come from?
And if we all work with models trained on the average of human knowledge, does our own thinking drift towards the average? Innovation lives at the edges.
-
Two questions from this week's post that I cannot answer well.
Research suggests domain experts get the most out of knowledge tools. If AI takes on more of the discovery work, where does the next generation of expertise come from?
And if we all work with models trained on the average of human knowledge, does our own thinking drift towards the average? Innovation lives at the edges.
-
Two questions from this week's post that I cannot answer well.
Research suggests domain experts get the most out of knowledge tools. If AI takes on more of the discovery work, where does the next generation of expertise come from?
And if we all work with models trained on the average of human knowledge, does our own thinking drift towards the average? Innovation lives at the edges.
-
Two questions from this week's post that I cannot answer well.
Research suggests domain experts get the most out of knowledge tools. If AI takes on more of the discovery work, where does the next generation of expertise come from?
And if we all work with models trained on the average of human knowledge, does our own thinking drift towards the average? Innovation lives at the edges.