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Will AI be 'Winner takes it all' or General Purpose Technology?
Considering the diffusion of economic gains from AI, why enterprise AI is more interesting than consumer use cases, and why learning by doing is…
Aug 5
•
Lee Bryant
3
1
Can Learning Help Overcome the AI Capability-Absorption Gap?
Organisational readiness will take time, but that should not stop us from preparing our people to thrive in an enterprise AI workplace
Jun 24
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Lee Bryant
7
2
Beyond Simple Office Automation: The Rise of Super Operators
Contrasting the speed of office-based vs physical AI use cases; the future beyond simple chatbot assistants; and the predicted rise of high-agency super…
Feb 18
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Lee Bryant
2
Asking Better Questions
GenAI capabilities are developing faster than organisations can make sense of them. If the only limit to adoption is our imagination, how can we ask…
Sep 3, 2024
•
Lee Bryant
4
How Apple's late entry could advance multi-agent AI in the enterprise
Enterprise AI adoption will be the poor relation until it can address organisational blockers, but Apple Intelligence could set an example for the next…
Jun 11, 2024
•
Lee Bryant
3
From prompt whispering to model sommeliers: how best to think about the ‘atomic’ nature of LLMs in the AI evolution story?
Lots going on in AI-land as usual, but what can recent developments tell us about how to build on the capabilities of LLMs, and what should execs be…
Apr 30, 2024
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Lee Bryant
8
2
Using a Capability Map to Design & Plan an AI Use Case for Digital Talent Discovery
The best use cases for AI in the enterprise will require integration with existing processes, but could enable entirely new ways of running them
Apr 9, 2024
•
Cerys Hearsey
and
Lee Bryant
3
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