The Greatest Risks Impacting Treasury and Finance Organizations

PATRICIA HINES | February 6, 2018

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The Association for Financial Professionals (AFP) recently published its 2018 AFP Risk Survey Report. The survey, supported by Marsh & McLennan Companies (Celent’s parent company), provides a snapshot of the challenges organizations face in the current risk environment. Responses from 614 senior-level corporate financial professionals around the globe formed the basis of the survey. Corporate practitioners rank strategic risks (which include competitor and industry disruptions, among others), as the top risks impacting their organizations. Over half (52 percent) report that cybersecurity risks need to be watched closely.

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Alternative Investment Management, LLC (AIM13) is a privately owned investment management firm based in New York City that invests across a wide range of asset classes for a group of families, pensions, endowments and other institutional investors. Specialties: Hedge Funds, Private Equity, Long Only, Co-Investments, Direct Investments, Real Estate , Distressed, Commodities, and other investment opportunities.

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Core finance - taking a strategic approach to cloud

Article | February 21, 2020

This post focuses on the benefits of a strategic cloud approach. The first blog post in the series titled, 'How a focus on the customer can help you fight for a digital finance transformation' can be read here and the follow up on laying the foundation for the future of finance can be read here. As organizations continue to plan and execute digital finance transformation strategies, CFOs are looking to reap the business benefits and the competitive advantages offered by cloud solutions.

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Five Application Scenarios of AI in Banking

Article | April 13, 2021

Over the past decades, banks have been improving their ways of interacting with customers. They have tailored modern technology to the specific character of their work. For example, in the 1960s, the first ATMs appeared, and ten years later, there were already cards for payment. At the beginning of our century, users learned about round-the-clock online banking, and in 2010, they heard about mobile banking. But the development of the financial system didn’t stop there, as the digital age is opening up new opportunities — the use of Artificial Intelligence. By 2023, banks are projected to save $447 billion by applying AI apps. We will tell you how financial institutions are making use of this technology in their operations today. AI-powered chatbots Chatbots are AI-enabled conversational interfaces. This is one of the most popular cases of applying AI in banking. Bots communicate with thousands of customers on behalf of the bank without requiring large expenses. Researchers have estimated that financial institutions save four minutes for each communication that the chatbot handles. Since customers use mobile apps to carry out monetary transactions, banks embed chatbot services in them. This makes it possible to attract users’ attention and create a brand that is recognizable in the market. For example, Bank of America launched a chatbot that sends users notifications, informs them about their balances, makes recommendations for saving money, provides updates to credit reports, and so on. This is the way the bank helps its clients to make informed decisions. Another example is the launch of the Ceba chatbot, which brought great success to the Australian Commonwealth Bank. With its help, about half a million customers were able to solve more than two hundred banking issues: activate their cards, check account balances, withdraw cash, etc. Mobile banking AI functionality in mobile apps is becoming more proactive, personalized, and advanced. For example, Royal Bank of Canada has included Siri in its iOS app. Now, to send money to another card, it’s enough to say something like: "Hey, Siri, send $30 to Lisa!" - and confirm the transaction using Touch ID. Thanks to AI, banks generate 66% more revenue from mobile banking users than when customers visit branches. Banking organizations are paying close attention to this technology to improve their quality of services and remain competitive in the market. Data collection and analysis Banking institutions record millions of business transactions every day. The volume of information generated by banks is enormous, so its collection and registration turn into an overwhelming task for employees. Structuring and recording this data is impossible until there is a plan for its use. Therefore, determining the relationship between the collected data is challenging, especially when a bank has thousands of clients. There used to be the following approach: a client came to a meeting with a bank employee who knew their name and financial history and understood what options were better to offer. But that's history now. With the wealth of data coming from countless transactions, banks are trying to implement innovative business ideas and risk management solutions. AI-based apps collect and analyze data. This improves the user experience. The information can be used for granting loans or detecting fraud. Companies that estimated their profit from Big Data analysis have reported an average increase in revenue by 8% and a reduction in costs by 10%. Risk management Extension of credit is quite a challenging task for bankers. If a bank gives money to insolvent customers, it can get into difficulties. If a borrower loses a stable income, this leads to default. According to statistics, in 2020, credit card delinquencies in the U.S. rose by 1.4% within six months. AI-powered systems can appraise customer credit histories more accurately to avoid this level of default. Mobile banking apps track financial transactions and analyze user data. This helps banks anticipate the risks associated with issuing loans, such as customer insolvency or the threat of fraud. Data security According to the Federal Trade Commission report for 2020, credit card fraud is the most common type of personal data theft. AI-based systems are effective against malefactors. The programs analyze customer behavior, location, and financial habits and trigger a security mechanism if they detect any unusual activity. ABI Research estimates that spending on AI and cybersecurity analytics will amount to $96 billion by the end of 2021. Amazon has already acquired harvest.AI - an AI cyber security startup - and launched Macie - a service that applies Machine Learning to detect, sort, and structure data in S3 cloud storage.

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Article | March 12, 2020

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Alternative Investment Management, LLC

Alternative Investment Management, LLC (AIM13) is a privately owned investment management firm based in New York City that invests across a wide range of asset classes for a group of families, pensions, endowments and other institutional investors. Specialties: Hedge Funds, Private Equity, Long Only, Co-Investments, Direct Investments, Real Estate , Distressed, Commodities, and other investment opportunities.

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