Cracking the Secrets of Big-Data – AI and Its Use for FinTech
- The AI revolution has begun - those industries choosing to embrace the new tech will surely reap the immense benefits
There is no doubt that the Fintech Fintech Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices. Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices. Read this Term industry is one that consistently evolves and reaches heights that no-one ever thought were possible. The industry’s consistent growth over the past few years has clearly transformed traditional methods of doing business and has, for example, moved banking into a more innovative, technologically efficient, and advanced space. Digital or virtual banks, going cashless, biometric, and cyber-security technologies are becoming more and more common.
As FinTech advances, more creative and ground-breaking innovations will continue to generate exciting trends in the market. While the spectrum of innovations is broad, one of the main developments that have captured the most attention is Artificial Intelligence (AI). There are many elements of AI in the use of the financial industry. For example, AI Chatbot technology, which aims to emulate human behavior to enable client interface
capability to perform in a more intelligent and human-like way; AI trading technology, which aims to study the market, learn from large quantities of data, adapt to the progressive market environment and advance customers’ accounts on a consistent basis; Client Relationship Management AI is also prevalent in the market. CRM AI takes form as a strategic software that enables companies to track down their customers, and in doing so, they can plan their sales and marketing strategies as well as retain loyal customers which will result in increased profits and growth.
Great examples of AI-based FinTech solutions include Israeli FinTech innovations, all part of the ever-growing Israeli FinTech ecosystem and members of the Israeli FinTech Association.
Case Study #1:
Optimove has developed a “Science-first Relationship Marketing Hub” by combining the science of data collection and interpretation with the art of marketing to assist marketers in delivering personalized, real-time, multichannel marketing campaigns. This enables marketers to maximize customer engagement, loyalty, and value. Optimove has created a thriving market for marketers in all financial industries, which has created opportunities for a smoother transition to the AI revolution.
Case Study #2:
I Know First uses AI technology to create algorithmic forecasting solutions for capital markets to discover the most favorable investment opportunities. The underlying technology of this algorithm is based on AI and machine learning by initiating daily market predictions for stocks, ETFs, interest rates, currencies, and world indices for all time horizons.
I Know First is an innovative and fast-growing FinTech company that reflects how AI has opened up markets in the banking, hedge fund, and financial institution sectors.
Case Study#3:
FinCom is the first automated anti- Money Laundering Money Laundering Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders. Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders. Read this Term/ KYC (Know Your Client) screening system which has been developed for effective compliance. This company has developed cross-language, unstructured database unification technology, using AI and Advanced Phonetic Mathematics. This is a useful example of how AI in the FinTech and Cyber Security sector is growing, thereby creating effective and efficient systems to counter illegal activities such as money-laundering, the financing of terrorism and the use of the proceeds of crime.
All three of these Israeli startups are a great reflection of the tremendous fast-growing trends AI technology which will continue to permeate most industries. The Israeli FinTech ecosystem is growing vastly and is seen to be the “State of AI” as they are a prominent tech house for AI-based innovations. But Israel-based AI solutions are not solely in the FinTech space; there are more than 1000 companies that are centered on pursuing and specializing in AI in the fields of Cyber Security, automotive, healthcare, and others. Israel’s success in the FinTech and AI fields is a result of outstanding training in computer science and big data faculties in higher education institutions as well as the training within the specific units that the IDF grant to their soldiers.
The AI revolution has clearly begun, and those industries that choose to embrace the opportunities created by these technologies will benefit from the cost and time-saving efficiencies created thereby. With consumers being bombarded with so much more choice in the market, those businesses that use AI to provide innovative and effective services or solutions will no doubt leave their competitors lagging far behind.
Nir Netzer is the Founding Partner of Equitech Financial Consulting and Co-Founder of the FinTech-Aviv community.
There is no doubt that the Fintech Fintech Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices. Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices. Read this Term industry is one that consistently evolves and reaches heights that no-one ever thought were possible. The industry’s consistent growth over the past few years has clearly transformed traditional methods of doing business and has, for example, moved banking into a more innovative, technologically efficient, and advanced space. Digital or virtual banks, going cashless, biometric, and cyber-security technologies are becoming more and more common.
As FinTech advances, more creative and ground-breaking innovations will continue to generate exciting trends in the market. While the spectrum of innovations is broad, one of the main developments that have captured the most attention is Artificial Intelligence (AI). There are many elements of AI in the use of the financial industry. For example, AI Chatbot technology, which aims to emulate human behavior to enable client interface
capability to perform in a more intelligent and human-like way; AI trading technology, which aims to study the market, learn from large quantities of data, adapt to the progressive market environment and advance customers’ accounts on a consistent basis; Client Relationship Management AI is also prevalent in the market. CRM AI takes form as a strategic software that enables companies to track down their customers, and in doing so, they can plan their sales and marketing strategies as well as retain loyal customers which will result in increased profits and growth.
Great examples of AI-based FinTech solutions include Israeli FinTech innovations, all part of the ever-growing Israeli FinTech ecosystem and members of the Israeli FinTech Association.
Case Study #1:
Optimove has developed a “Science-first Relationship Marketing Hub” by combining the science of data collection and interpretation with the art of marketing to assist marketers in delivering personalized, real-time, multichannel marketing campaigns. This enables marketers to maximize customer engagement, loyalty, and value. Optimove has created a thriving market for marketers in all financial industries, which has created opportunities for a smoother transition to the AI revolution.
Case Study #2:
I Know First uses AI technology to create algorithmic forecasting solutions for capital markets to discover the most favorable investment opportunities. The underlying technology of this algorithm is based on AI and machine learning by initiating daily market predictions for stocks, ETFs, interest rates, currencies, and world indices for all time horizons.
I Know First is an innovative and fast-growing FinTech company that reflects how AI has opened up markets in the banking, hedge fund, and financial institution sectors.
Case Study#3:
FinCom is the first automated anti- Money Laundering Money Laundering Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders. Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders. Read this Term/ KYC (Know Your Client) screening system which has been developed for effective compliance. This company has developed cross-language, unstructured database unification technology, using AI and Advanced Phonetic Mathematics. This is a useful example of how AI in the FinTech and Cyber Security sector is growing, thereby creating effective and efficient systems to counter illegal activities such as money-laundering, the financing of terrorism and the use of the proceeds of crime.
All three of these Israeli startups are a great reflection of the tremendous fast-growing trends AI technology which will continue to permeate most industries. The Israeli FinTech ecosystem is growing vastly and is seen to be the “State of AI” as they are a prominent tech house for AI-based innovations. But Israel-based AI solutions are not solely in the FinTech space; there are more than 1000 companies that are centered on pursuing and specializing in AI in the fields of Cyber Security, automotive, healthcare, and others. Israel’s success in the FinTech and AI fields is a result of outstanding training in computer science and big data faculties in higher education institutions as well as the training within the specific units that the IDF grant to their soldiers.
The AI revolution has clearly begun, and those industries that choose to embrace the opportunities created by these technologies will benefit from the cost and time-saving efficiencies created thereby. With consumers being bombarded with so much more choice in the market, those businesses that use AI to provide innovative and effective services or solutions will no doubt leave their competitors lagging far behind.
Nir Netzer is the Founding Partner of Equitech Financial Consulting and Co-Founder of the FinTech-Aviv community.