Artificial intelligence: Difference between revisions
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imported>Doug Williamson (Add link.) |
(Add quote - source - The Treasurer online.) |
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Examples include making decisions and recognising speech. | Examples include making decisions and recognising speech. | ||
:<span style="color:#4B0082">'''''Data quality and refresh rates'''''</span> | |||
:"While AI opens up numerous opportunities for improvement, treasurers may need to overcome various obstacles along the way, including algorithmic limitations, incomplete data, resistance to change within the organisation, and challenges around the ability to interpret results. | |||
:“As in any technological implementation, it is data quality and availability that are key, along with high refresh rates,” says Carl Sharman, a partner in Deloitte’s performance improvement practice. | |||
:“High quality outputs can only be generated through high quality inputs, and integration with the organisation's existing data sources is critical.”" | |||
:''AI in cash management: what is the smart move? - The Treasurer online - 25 October 2023.'' | |||
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* [[Augmented reality]] | * [[Augmented reality]] | ||
* [[ChatGPT]] | * [[ChatGPT]] | ||
* [[Data]] | |||
* [[Fourth industrial revolution]] | * [[Fourth industrial revolution]] | ||
* [[HLEG]] | * [[HLEG]] | ||
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* [[Internet of Things]] | * [[Internet of Things]] | ||
* [[Machine learning]] | * [[Machine learning]] | ||
* [[Refresh rate]] | |||
* [[Robot tax]] | * [[Robot tax]] | ||
* [[Robotic process automation]] | * [[Robotic process automation]] | ||
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* [[Software robot]] | * [[Software robot]] | ||
* [[Technological singularity]] | * [[Technological singularity]] | ||
Revision as of 13:38, 30 October 2023
(AI).
Artificial intelligence is the robotic technology that enables computer systems to perform tasks that previously required human intelligence.
Examples include making decisions and recognising speech.
- Data quality and refresh rates
- "While AI opens up numerous opportunities for improvement, treasurers may need to overcome various obstacles along the way, including algorithmic limitations, incomplete data, resistance to change within the organisation, and challenges around the ability to interpret results.
- “As in any technological implementation, it is data quality and availability that are key, along with high refresh rates,” says Carl Sharman, a partner in Deloitte’s performance improvement practice.
- “High quality outputs can only be generated through high quality inputs, and integration with the organisation's existing data sources is critical.”"
- AI in cash management: what is the smart move? - The Treasurer online - 25 October 2023.
