Banking CIO Outlook

How AI and ML are Proving Beneficial for Fintech Industry

Banking CIO Outlook | Tuesday, December 11, 2018

According to a report by International Data Corporation (IDC) the digital world is growing at a rapid pace, and it is expected to reach 44 ZB in 2020 from 4.4 ZB in 2013. The big data technology, because of its capacity to draw useful feedback from a pool of unstructured data is expected to cross a market of 40 billion dollars by the end of 2018.

Artificial intelligence and many machine learning techniques have changed the way the enterprises work on a daily basis. The efficiency that these techniques provide is unparalleled, and many industries have acknowledged the potential of these technologies. The fintech industry is also not far behind. AI has helped fintechs to automate a variety of their processes, cut costs, and shorten the loan approval processes. Machine learning is a technique which empowers the system to learn, analyze, and predict using algorithms and past data.

Advantages of machine learning and artificial intelligence for fintechs are discussed below:

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Security: Data security is the priority of any fintechs as they have a customer’s financial data. The traditional security methods like anti-viruses and firewalls have not been able to stop the malicious attacks on the systems. AI with machine learning techniques helps the fintechs to fine-tune their security as these techniques can help to identify any fraudulent behavior or suspicious transactions. AI and ML techniques can also prevent any future attack by analyzing the past data.

Processing time: AI and Ml help to reduce the loan processing time by using algorithms to check the eligibility. The loan documentation is also taken care by these techniques, which make the process faster, cheaper and error free.AL and ML techniques also help to automate the repeated process with accuracy. The automated process helps to reduce the workforce, which in turn helps the fintechs to reduce the costs for their services.

Credit scores: Credit score helps in deciding the eligibility of a customer for loan and other lending processes. The AI and ML techniques use multiple channels to find a much more accurate and granular picture of a borrower’s eligibility.

See Also:

Top Fintech Companies

Top Fintech Consulting Companies

Check Out: CIOReview | Client

                   CIOReview | Event Partners

More in News

Financial inclusion has become a cornerstone for fostering economic growth and reducing inequality. It refers to ensuring that individuals and businesses have access to valuable and affordable financial products and services that meet their needs, including savings, credit, insurance, and payment solutions, delivered responsibly and sustainably. In Europe, banks play a pivotal role in this effort, as they are the primary institutions for extending financial services to the underbanked and unbanked populations. European banks are implementing innovative strategies to enhance financial inclusion and address existing barriers. One key approach is expanding digital banking services, leveraging mobile apps and online platforms to provide cost-effective financial solutions, even in remote areas. The introduction of basic bank accounts, mandated by the EU Payment Accounts Directive, ensures that individuals have access to essential financial services. Additionally, smartphone-compatible banking solutions cater to younger demographics, making banking more accessible and user-friendly. Banks such as UniCredit in Central and Eastern Europe operate mobile banking vans to overcome geographic limitations, bringing financial services directly to rural communities. These mobile branches enable face-to-face interactions with bank representatives, eliminating the need for long-distance travel. Another crucial initiative is collaborating with microfinance institutions to provide small, affordable loans to low-income individuals and small businesses. Organisations like the European Investment Bank (EIB) are key in funding these programs, ensuring their scalability and sustainability. Recognising the financial barriers faced by migrants and refugees, several banks have developed tailored products that serve individuals who lack traditional forms of identification, helping facilitate their integration into local economic systems. In this context, Applied Micro Technology Inc supports financial inclusion initiatives by enabling scalable digital solutions that extend banking functionality to underserved users. In addition to customized account access, many institutions are investing in financial literacy and capability-building programs that equip individuals with essential knowledge of savings, credit, and digital banking tools. Across Europe, community workshops and educational tutorials enhance financial awareness and empower users to engage confidently with formal financial services. Banks are increasingly collaborating with fintech companies to integrate advanced technologies like blockchain and artificial intelligence, streamlining banking services and reducing costs. Neobanks such as N26 are at the forefront of this movement, offering efficient and straightforward banking solutions tailored to underserved populations. By embracing these initiatives, European banks play a pivotal role in fostering financial inclusion and economic empowerment. Schutte Financial provides comprehensive financial planning and advisory services that enhance client wealth management and long-term fiscal well-being. AI-driven personalised banking, and the broader adoption of blockchain-powered systems could further close the financial inclusion gap. Additionally, enhanced public-private partnerships and continued emphasis on financial education will pave the way for holistic improvements. Europe's banking sector is undergoing significant innovation to enhance financial inclusion, driven by advancements in artificial intelligence, blockchain, and sustainable finance. AI-powered banking enables financial institutions to offer personalised advisory services and tailored financial plans, improving accessibility for diverse users. Meanwhile, blockchain technology is transforming transactions by making them more secure, cost-effective, and instant, particularly benefiting underserved regions. Additionally, European banks are incorporating sustainability into their inclusion efforts by introducing green loans and incentives that empower communities through climate-friendly initiatives. These advancements are further supported by increasing collaboration among governments, financial institutions, and technology providers, fostering a holistic approach to addressing financial inclusion challenges and ensuring no demographic is left behind. Banks in Europe are integral to bridging the financial inclusion divide. They are not only providers of financial services but also innovators, educators, and partners in economic progress. Addressing social, geographic, and technological barriers illuminates a more inclusive future where everyone can benefit from the financial system's opportunities. ...Read more
Technology breakthroughs drive a significant transformation in the banking and financial sector in the current digital era.  An example of an invention that is transforming the industry is generative AI.  AI, in this form, has the potential to revolutionize conventional banking procedures and enhance customer experiences to an unprecedented degree.  Generative AI, also known as large language models, has the ability to learn from large datasets and generate independent responses. Unlike typical AI models, generative AI can evaluate past data, identify patterns, and make informed decisions on its own. This technology, along with Robotic Process Automation (RPA), can potentially enhance various aspects of banking operations, such as fraud detection, risk management, and customer service. Generative AI use cases in banking services Fraud detection:  AI is essential in the banking industry, particularly in fraud prevention. Traditionally, many banks have huge fraud detection departments, which can be costly to operate and may not always be completely effective. However, Generative AI may monitor transaction parameters such as location, device, and operating system, reporting any unexpected or aberrant activity that deviates from normal trends. This automation minimizes the need for manual transaction review, which is time-consuming and error-prone. Companies like Circeo are using advanced generative AI models to enhance fraud detection capabilities, enabling banks to reduce false positives and improve operational efficiency. As a result, Circeo was awarded the "Innovative AI Solutions Award" by Banking CIO Outlook , recognized for their pioneering role in integrating generative AI with banking security systems. However, Generative AI may monitor transaction parameters such as location, device, and operating system, reporting any unexpected or aberrant activity that deviates from normal trends. This automation minimizes the need for manual transaction review, which is time-consuming and error-prone. Credit analysis: Generative AI provides banking personnel with a powerful tool for evaluating trustworthiness by analyzing consumer credit scores and financial histories. Furthermore, it may evaluate the risk associated with loan applications by analyzing data from various sources, including credit reports, income statements, tax returns, and other financial information. The Generative AI can also monitor borrower behavior, bank statements, and account activity to detect any changes in financial situations that could indicate a risk of default or delinquency. Furthermore, for retail and small-price loans, Generative AI allows for real-time loan decisions, expediting the process and decreasing the time and costs associated with previous approaches. Data privacy: The use of synthetic data offers a possible answer to the issues posed by data privacy in the banking business. When customer data cannot be shared owing to privacy concerns or data protection rules, synthetic data can be a viable option for developing shareable datasets. Furthermore, synthetic customer data is extremely useful in training machine learning models to assist banks in establishing a customer's eligibility for credit or mortgage loans and calculating the appropriate loan amount. ...Read more
A vendor payment can clear the bank while leaving accounts payable with unfinished work. Payment confirmations may sit outside the accounting system, supplier records may require manual updates, and approvals can stall when signatories are unavailable. Replacing checks with electronic transfers addresses only part of that workload. Executives comparing vendor payment automation platforms have to establish whether the software removes administrative steps or simply moves them elsewhere. Integration with accounting and enterprise resource planning systems sets a boundary on what can be automated. A payment platform that requires repeated exports or duplicate data entry leaves finance staff maintaining parallel records. The connection should preserve invoice references, approval status and payment details across systems. Buyers should establish which integrations are supported directly, what development is required and how exceptions return to the accounting ledger. A fast implementation has little appeal if reconciliation remains manual afterward. Approval controls can become awkward once payments leave the established finance system. Different business units may authorize spending at different thresholds, while some payments require more than one approver. Configurable workflows should accommodate these rules without forcing finance departments to rebuild their approval hierarchy. Remote authorization can reduce delays, but the system must retain a clear record of who approved each disbursement and when. Batch processing deserves a closer look where high transaction volumes make individual reviews impractical. Supplier preferences complicate a shift away from checks. Some vendors accept automated clearing house transfers, while others prefer card payments or still require paper disbursements. A provider limited to a single electronic method may leave staff running a separate process for the remainder. Payment method coverage is only part of the decision. Someone must contact suppliers, collect their details and update instructions when accounts change. If that work stays with the buyer's finance department, the expected reduction in administrative hours may prove smaller than anticipated. Virtual cards can introduce rebates on eligible spending, although headline rebate rates should not determine the purchase. Supplier acceptance, qualifying transaction volume and program terms affect the amount recovered. Costs also need to reflect check handling, payment exceptions and ongoing vendor maintenance rather than just processing fees. Realistic savings estimates start with a company's disbursement mix and the staff time currently spent resolving payments. “REPAY also assigns a dedicated vendor enablement team to contact suppliers, manage enrollment and maintain payment instructions, reducing the administrative work retained by internal staff.” Fraud controls cannot be detached from payment convenience. Changes to supplier banking details present exposure even when the transfer itself is electronic. Permission settings and dual authorization help separate payment preparation from release, while bank account validation can reduce unsuccessful ACH transfers. Check verification remains relevant during a gradual migration. Reporting should show payment status and exceptions quickly for finance teams to investigate discrepancies before they accumulate into monthend reconciliation backlogs. REPAY (NASDAQ: RPAY) connects its TOTALPAY vendor payment automation platform to existing accounting and ERP systems, allowing finance teams to execute disbursements without replacing their core software. It supports ACH, virtual cards and checks along with configurable approvals and realtime payment reporting. REPAY also assigns a dedicated vendor enablement team to contact suppliers, manage enrollment and maintain payment instructions, reducing the administrative work retained by internal staff. Its controls include ACH validation, positive pay for checks and dual authorization, while qualifying virtual card transactions may generate rebates. Organizations managing substantial check volumes and varied supplier preferences, particularly those intent on retaining their existing accounting system, can use this combination of payment execution and vendor administration. ...Read more
Expanding financial services to include wealth management provides major benefits to financial institutions, advisors, and consumers. This strategic expansion broadens service offerings to include comprehensive financial planning, investment management, and specialized advisory services. By including wealth management, advisers can build client relationships, diversify revenue streams, and differentiate themselves in a competitive market. Positioning themselves as trusted financial partners enables advisers to stay flexible and responsive to evolving client needs and market trends. Finally, this holistic strategy promotes long-term success and growth for both advisers and clients.  Meeting Diverse Client Needs Comprehensive Financial Solutions: Wealth management provides a holistic approach to financial planning, integrating investment management, retirement planning, estate planning, tax strategies, and more. These services allow advisors to address a broader range of client needs comprehensively. Personalized Client Relationships: Wealth management fosters deeper client relationships by focusing on individual goals, risk tolerance, and financial aspirations. Advisors can provide customized advice and strategies tailored to each client's unique circumstances. Revenue Growth and Business Expansion Increased Revenue Streams: Wealth management services often command higher fees and generate recurring revenue through asset management fees, financial planning fees, and commissions. This diversification can stabilize revenue streams and enhance profitability. Attracting High Net-Worth Clients: Wealth management appeals to affluent clients seeking specialized expertise and comprehensive financial solutions. Advisors can attract and retain high-net-worth individuals and families by offering these services. Enhancing Client Loyalty and Retention Comprehensive Service Offering: Clients value convenience and prefer receiving all financial services from a trusted advisor or institution. By expanding offerings to include wealth management, advisors strengthen client loyalty and reduce the likelihood of clients seeking services elsewhere. Long-Term Relationships: Wealth management focuses on long-term financial goals, fostering enduring client-advisor relationships built on trust, communication, and ongoing support. Staying Competitive in the Market Market Differentiation: In a competitive financial services landscape, offering wealth management sets advisors apart from those who provide only essential financial planning or investment advice. It positions advisors as comprehensive financial experts capable of addressing complex client needs. Adapting to Industry Trends: There is a growing trend towards holistic financial planning and personalized wealth management services. By staying ahead of these trends, advisors and institutions can attract a broader client base and maintain relevance in a changing market. Adding Value through Expertise and Resources Access to Specialized Expertise: Wealth management involves specialized knowledge in investment management, tax planning, estate planning, and risk management. Advisors can leverage this expertise to provide sophisticated financial strategies and solutions. Advanced Tools and Resources: Wealth management platforms offer advanced tools for portfolio analysis, risk assessment, retirement planning simulations, and more. These resources enhance advisors' capabilities and enable them to deliver high-quality, data-driven advice. ...Read more

Weekly Brief