Hyper-personalisation and ML: Difference between pages

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imported>Doug Williamson
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imported>Doug Williamson
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''Information technology - financial services - embedded finance.''
1.  ''Information technology - artificial intelligence.''


Hyper-personalisation is the use of technology including data analytics, artificial intelligence and automation to create highly customised service offerings to new and existing customers.
Machine learning.




:<span style="color:#4B0082">'''''Businesses will provide vastly superior customer experiences'''''</span>
2.  ''Risk management - anti money laundering.''


:"The reason embedded finance is going to be so successful – it is predicted to be worth $3.5 trillion by 2030 – is because of the personalisation options available.
Money laundering.
 
:Businesses can behave like hyper-specific challenger banks and target communities that share a passion, interest or career, but they can go further than that.
 
:They can target individual members of their own customer-communities.
 
 
:Think how Google monetises search and social media monetises relationships.
 
:Businesses will soon be doing the same thing, but with spending data.
 
:For example, if you purchase a flight or a hotel, chances are you’ll also be in the market for travel insurance, holiday money, budgeting tools and everything else involved in a trip abroad.
 
 
:Businesses can offer these options right at the point of need, triggered by specific purchases, emerging spending patterns or even
geolocation.
 
:This hyper-personalisation offers a vastly superior level of customer experience and I’m certain it will soon become the standard."
 
:''The Treasurer - 2022 Issue 3 - p33 - Philipp Buschmann, co-founder & CEO, AAZZUR.''




== See also ==
== See also ==
*[[Analytics]]
* [[Anti money laundering]]
*[[Artificial intelligence]] (AI)
* [[5AMLD]]
*[[Bank]]
* [[Artificial intelligence]]
*[[Banking as a service]]
* [[Fourth industrial revolution]]
*[[Budget]]
* [[Know-your-customer]]
*[[Buy Now Pay Later]]  (BNPL)
* [[Machine learning]]
*[[Cambridge Centre for Alternative Finance]]
* [[Robotic process automation]]
*[[CEO]]
* [[Robotics]]
*[[Challenger bank]]
* [[Software robot]]
*[[Data ]]
*[[Disruptor]]
*[[Embedded finance]]
*[[Financial services]]
*[[Fintech]]
*[[Friction]]
*[[Information technology]]
*[[Insurance]]
*[[Interoperability]]
*[[Open banking]]
*[[Open banking APIs]]
*[[Robotic process automation]] (RPA)
*[[Standard]]
*[[Tailor]]


[[Category:Accounting,_tax_and_regulation]]
[[Category:The_business_context]]
[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Cash_management]]
[[Category:Cash_management]]
[[Category:Financial_products_and_markets]]
[[Category:Financial_products_and_markets]]
[[Category:Liquidity_management]]
[[Category:Liquidity_management]]
[[Category:Technology]]
[[Category:Technology]]

Revision as of 18:57, 1 November 2021

1. Information technology - artificial intelligence.

Machine learning.


2. Risk management - anti money laundering.

Money laundering.


See also