{"id":5981,"date":"2018-05-24T10:20:04","date_gmt":"2018-05-24T10:20:04","guid":{"rendered":"https:\/\/insights.invyo.io\/europe\/?p=5981"},"modified":"2019-02-07T17:45:54","modified_gmt":"2019-02-07T17:45:54","slug":"use-cases-of-ai-based-fintech-solutions-from-fraud-detection-to-big-data-mining","status":"publish","type":"post","link":"https:\/\/insights.invyo.io\/europe\/analyses\/use-cases-of-ai-based-fintech-solutions-from-fraud-detection-to-big-data-mining\/","title":{"rendered":"Use cases of AI-based FinTech solutions: from fraud detection to big data mining"},"content":{"rendered":"

Artificial Intelligence has caught the attention of the world, including financial institutions. While AI-based FinTech solutions may not get the same attention than autonomous cars or robot dogs, its impact will undoubtedly be felt.<\/strong><\/p>\n

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MORE DATA WITH\u00a0INVYO ANALYTICS<\/strong><\/a><\/h4>\n

Access free demo now<\/p>\n

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AI-based FinTech solutions will both save financial institutions billions<\/strong> in cost and create billions in additional revenues, potentially creating more than a trillion in additional profits<\/strong> in the financial services industry.<\/p>\n

A study done by Accenture showed that the implementation of AI<\/strong> in the financial sector could lead to a 31% increase in profitability<\/strong> rates by 2035.[1] Moreover, AI will allow to customize financial services delivered to clients, leading to an enhanced customer experience<\/strong>.<\/p>\n

USE CASE 1:\u00a0AI for fraud detection<\/h3>\n

Fraud detection and management is imperative for financial institutions now more than ever, as they are faced with new and more sophisticated threats to client data and security breaches<\/strong>. Banks could face fines of more than a billion dollar for failing to meet government standards<\/strong> against money laundering, GDPR regulations and other financial crimes. This has lead to a drastic increase in anti-fraud efforts by banks<\/strong>, many of which have proven to be time consuming and costly.<\/p>\n

However, with the rise of AI-based FinTech solutions, banks now have the opportunity to fight against fraud<\/strong> more effectively, effortlessly and at a fraction of the cost.<\/p>\n

Example: Ayasdi by HSBC<\/h4>\n
\"\"
Ayasdi by HSBC<\/figcaption><\/figure>\n

HSBC is an extreme example of the costliness of not being compliant with AML laws<\/strong>; the company was fined $1.9 billion<\/strong> for its failure to control money laundering<\/strong>.<\/p>\n

As part of its effort to prevent this from happening again, HSBC implemented Ayasdi\u2019s solutions. Ayasdi<\/strong><\/a> is a FinTech venture that provides anti-fraud solutions to banks<\/strong>. They found that many of the world\u2019s best banks had false positive rates of up to 95%<\/strong> or higher. Using Ayasdi\u2019s AML solution, HSBC found a reduction of 20% in false positives<\/strong>, without reducing the number of cases reported for suspicious activity.[2]<\/p>\n

Thus, HSBC was able to save thousands of hours<\/strong> investigating compliance risks and in addition HSBC met many of the government required compliance regulations, saving them from being subject to further government-imposed fines.<\/p>\n

The ability of AI to make such a significant impact on fighting against fraud<\/strong> will save financial institutions immense amounts of money and will ensure that their clients\u2019 money and personal information is safe<\/strong>.<\/p>\n

USE CASE 2:\u00a0AI for big data mining<\/h3>\n

Another key use case for AI in financial institutions is big data mining and process improvement<\/strong>. Banks are flooded with consumer data, legal documents, etc. and are unable to review or analyze<\/strong> a fraction of the information they hold. FinTech ventures that utilize AI are able to drastically reduce the time<\/strong> it takes financial institutions to analyze their data and improve their processes<\/strong>, while also freeing their employees from working on mundane tasks.<\/p>\n

Example: COIN by JP Morgan<\/h4>\n
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COIN by JP Morgan<\/figcaption><\/figure>\n

JP Morgan implemented a program called Contract Intelligence (COIN), an AI system tasked to analyze documents quicker<\/strong> and decrease errors made while analyzing these document.<\/p>\n

COIN was able to analyze 12,000 annual commercial credit agreements<\/strong> in a matter of seconds.<\/p>\n

Prior to utilizing COIN it took JP Morgan employees 360,000 hours<\/strong> to analyze the same amount of documents.[3] Using COIN, JP Morgan was also able to reduce errors<\/strong> made in analyzing the documents.<\/p>\n

The application of AI solutions is and will continue to save financial institutions time and money<\/strong> on tasks that are mundane but necessary.<\/p>\n

USE CASE 3:\u00a0AI for back-office operation<\/h3>\n

Lastly, AI FinTech solutions have proven that they can have an immense impact on financial institutions in back-office operation. <\/strong>AI also has great potential to improve user experience<\/strong> with financial institutions through client facing solutions<\/strong>.<\/p>\n

A recent survey reported that[4]:<\/p>\n

76% of bankers \u201cbelieve that in the next three years, the majority of organizations in the banking industry will deploy AI interfaces as their primary point for interacting with customers.\u201d<\/p><\/blockquote>\n

A common use case for AI in the front office is customer service bots<\/strong>. However, more advanced technologies have lead to a wider variety of solutions such as automated advisory assistants<\/strong> that take into account the clients’ interests, financial portfolio, financial history, and desire risk to offer them individualized investment strategies.<\/p>\n

These solutions provide clients with in-depth, personalized services; allowing financial institutions to create more value for the client<\/strong>, without sacrificing time spent of its employees.<\/p>\n

On May 28th<\/sup>,\u00a0FinTech-Aviv will host a summer kick-off event at Rise Tel Aviv that will be focusing on AI-based innovations for the Financial Industry; visit the FinTech-Aviv<\/a> meetup page to register; the event will also be broadcast live on the FinTech-Aviv\u00a0Facebook page<\/a>.<\/p>\n

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Want more data about fintech startups? Access your own dashboard with\u00a0INVYO Analytics<\/a>\u00a0or\u00a0Sign up<\/a>\u00a0for free now.<\/strong><\/p>\n

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[1] Purdy, Mark. \u201cHow AI boosts industry profits and innovation.\u201d Accenture<\/em>. 2017.<\/p>\n

[2] Irrera, Anna. \u201cHSBC partners with AI startup to combat money laundering.\u201d\u00a0Reuters<\/em>. 1 Jun 2017.<\/p>\n

[3] Rieker, Falk \u201cWhy 2017 was pivotal for AI transformation in the financial industry.\u201d CIO<\/em>. 18 Dec, 2017.<\/p>\n

[4] McIntyre, Alan. \u201cBanking Technology Vision 2017.\u201d Accenture<\/em>. 2017.<\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial Intelligence has caught the attention of the world, including financial institutions. While AI-based FinTech solutions may not get the same attention than autonomous cars or robot dogs, its impact will undoubtedly be felt. MORE DATA WITH\u00a0INVYO ANALYTICS Access free demo now AI-based FinTech solutions will both save financial institutions billions in cost and create […]<\/p>\n","protected":false},"author":36,"featured_media":5993,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[551],"tags":[240,2015,928,239,2019,2012,2017,2016,1675,1088,2013,663,1531,1523,2018,1869,280,1745,1825,1382,1953,2014,296,1674,2020,809,2011,245],"yoast_head":"\nUse cases of AI-based FinTech solutions: from fraud detection to big data mining - INVYO Insights Europe : Media Fintech<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insights.invyo.io\/europe\/analyses\/use-cases-of-ai-based-fintech-solutions-from-fraud-detection-to-big-data-mining\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Use cases of AI-based FinTech solutions: from fraud detection to big data mining - INVYO Insights Europe : Media Fintech\" \/>\n<meta property=\"og:description\" content=\"Artificial Intelligence has caught the attention of the world, including financial institutions. 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