Network of Central Banks and Supervisors for Greening the Financial System and Neural network: Difference between pages

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imported>Doug Williamson
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imported>Doug Williamson
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''Green finance - international initiatives.''
''Information technology.''


(NGFS).
A neural network is a computer system modelled on the human brain and nervous system.


Full name of the Network for Greening the Financial System.
 
:<span style="color:#4B0082">'''''Neural networks can make cash forecasts more accurate'''''</span>
 
:"With ML algorithms [says Philipp Leitner, co-CTO and MD at ION Treasury] cash forecasts can be generated 3,000 times faster than manually, while neural networks can make cash forecasts more accurate by as much as 10%."
 
:''The Treasurer - 2022 Issue 3 - p8.''




== See also ==
== See also ==
* [[Central bank]]
*[[Cash flow forecast]]
* [[Network for Greening the Financial System]]
*[[CTO]]
* [[Sustainable finance]]
*[[Information technology]]
* [[UK Centre for Greening Finance & Investment]]
*[[Local area network]]
*[[MD]]
*[[Neuro-linguistic programming]]
*[[Neuroplasticity]]
*[[Outlier]]
*[[System and network controls]]
*[[Wide area network]]


[[Category:The_business_context]]
[[Category:The_business_context]]
[[Category:Ethics]]
[[Category:Identify_and_assess_risks]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Cash_management]]
[[Category:Financial_products_and_markets]]
[[Category:Financial_products_and_markets]]
[[Category:Liquidity_management]]
[[Category:Technology]]

Revision as of 20:47, 23 September 2022

Information technology.

A neural network is a computer system modelled on the human brain and nervous system.


Neural networks can make cash forecasts more accurate
"With ML algorithms [says Philipp Leitner, co-CTO and MD at ION Treasury] cash forecasts can be generated 3,000 times faster than manually, while neural networks can make cash forecasts more accurate by as much as 10%."
The Treasurer - 2022 Issue 3 - p8.


See also