Submission declined on 25 December 2023 by
Lopifalko (
talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Deep Finance is a financial services concept that represents the integration of artificial intelligence (AI) and data analytics into the banking and corporate finance sectors. It signifies an advanced evolution from embedded finance, emphasizing a deeper, more intricate integration of financial services with client business operations. Deep Finance is characterized by its focus on AI-driven customization, predictive capabilities, and seamless incorporation of financial solutions into business models, enhancing efficiency, decision-making, and customer engagement.
Deep Finance extends beyond the concept of embedded finance, which involves integrating financial services into non-financial platforms or applications. It leverages advanced technologies like AI and data analytics to provide personalized, predictive financial solutions that are intricately woven into the clients' business operations and decision-making processes.
The evolution of Deep Finance can be traced back to the digital transformation in banking and the increasing adoption of AI and ML in financial services. The shift from traditional banking methods to more integrated, technology-driven approaches laid the groundwork for the development of Deep Finance.
Deep Finance is founded on several key principles:
Deep Finance finds applications in various aspects of banking and corporate finance, including:
The impact of Deep Finance is multifaceted:
Deep Finance is expected to evolve with ongoing advancements in AI and ML. Future directions may include more personalized banking experiences, innovative financial products, and expanded global applications.
Submission declined on 25 December 2023 by
Lopifalko (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Deep Finance is a financial services concept that represents the integration of artificial intelligence (AI) and data analytics into the banking and corporate finance sectors. It signifies an advanced evolution from embedded finance, emphasizing a deeper, more intricate integration of financial services with client business operations. Deep Finance is characterized by its focus on AI-driven customization, predictive capabilities, and seamless incorporation of financial solutions into business models, enhancing efficiency, decision-making, and customer engagement.
Deep Finance extends beyond the concept of embedded finance, which involves integrating financial services into non-financial platforms or applications. It leverages advanced technologies like AI and data analytics to provide personalized, predictive financial solutions that are intricately woven into the clients' business operations and decision-making processes.
The evolution of Deep Finance can be traced back to the digital transformation in banking and the increasing adoption of AI and ML in financial services. The shift from traditional banking methods to more integrated, technology-driven approaches laid the groundwork for the development of Deep Finance.
Deep Finance is founded on several key principles:
Deep Finance finds applications in various aspects of banking and corporate finance, including:
The impact of Deep Finance is multifaceted:
Deep Finance is expected to evolve with ongoing advancements in AI and ML. Future directions may include more personalized banking experiences, innovative financial products, and expanded global applications.
-
in-depth (not just passing mentions about the subject)
-
reliable
-
secondary
-
independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.