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Generative AI in Finance Market Is Anticipated to Surpass a Market Value of USD 27,430.7 Million by the End of 2032 | MarketResearch.Biz Report

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New York, June 05, 2023 (GLOBE NEWSWIRE) — According to MarketResearch.Biz, the Generative AI in Finance Market size is projected to surpass around USD 27,430.7 million by 2032, and it is poised to reach a CAGR of 35.70% from 2023 to 2032. It accounted for USD 1,397.9 billion in 2022.

Generative AI is an emerging technology that is starting to gain traction in the finance industry. Generative AI can be used to create synthetic data that mimics real-world financial data, which can be used to train machine learning models to recognize patterns, identify trends as well as make predictions. It involves applying machine learning algorithms to produce new data and insights that can be utilized to guide financial decision-making across a variety of industries, including finance. In the context of finance, generative AI can be used to analyze large volumes of financial data, such as stock prices, trading volumes, and other market indicators, and generate new insights that can be used to make investment decisions, manage risk, and detect fraud in finance.

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Generative AI in Finance Market

Key Takeaway

  • By deployment model, the cloud deployment segment accounted for the largest share of generative AI in finance market in 2022.
  • By application, the risk management segment has dominated the market in 2022.
  • By technology, the deep learning technology segment was dominant in the market, with the largest market share in 2022.
  • In 2022, North America dominated the market with the highest revenue share 47.2%.

Factors affecting the growth of Generative AI in Finance Market

There are several factors that can affect the growth of generative AI in finance market. Some of these factors include:

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  • Growing demand for automation: finance institutions are under increasing pressure to reduce costs as well as improve efficiency. Generative AI can help automate a range of tasks, such as fraud detection, and risk analysis. This will help companies improve their
  • Increasing volume of financial data: The finance industry generates large amounts of data, which can be difficult to process as well as analyze using traditional methods. Generative AI can help to analyze this data more quickly and accurately, providing insights & predictions that can be used to inform business decisions
  • Need for better risk management: The finance industry is highly regulated and faces significant risks, such as fraud & cyber-attacks. Generative AI can help to identify potential risks and threats more quickly and accurately than traditional methods, improving overall risk management.

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Top Trends

  • Increasing use of predictive analytics: Predictive analytics is a branch of data analytics that uses machine learning algorithms to identify patterns and make predictions. In the finance sector, predictive analytics can be used for fraud detection, risk management as well as investment recommendations. By using generative AI for predictive analytics, financial institutions can make more informed decisions & reduce risks.
  • Emphasis on explainable AI: Explainable AI is an emerging field of research that focuses on developing algorithms that can explain their decision-making process. In the finance sector, explainable AI is becoming increasingly important as regulators require greater transparency as well as accountability from financial institutions.
  • Use of generative adversarial networks (GANs): GANs are a type of generative AI that can generate synthetic data that simulates fraudulent behavior, enabling financial institutions to better detect & prevent fraud.

Market Growth

Several factors driving the growth of the market. Such as the rising adoption of AI technologies by financial institutions to enhance their operations as well as customer services, the increasing volume of financial data generated by organizations, and the need to improve risk management & fraud detection capabilities. Moreover, the rising requirement for personalized financial services, such as wealth management and financial planning is expected to drive the adoption of generative AI solutions in the finance sector. Additionally, the emergence of explainable AI is expected to further boost the growth of the market, as it helps ensure transparency as well as accountability in AI decision-making processes.

Regional Analysis

North America is one of the largest markets for generative AI in finance. The region benefits from a strong financial infrastructure, an acceptable regulatory framework, and advanced technological expertise. The greatest market in this region is the United States, which has a high rate of generative AI technology adoption. Due to reasons like rising AI investment, a significant customer base, and favorable government policies, the European generative AI in finance market is expanding quickly. Major markets in this region include the UK, Germany, France, and Spain. In the upcoming years, the Asia-Pacific generative AI in finance market is anticipated to rise significantly, propelled by rising financial institutions’ investments in AI, rising consumer demand for personalized financial services, and a growing customer base. China, Japan, and India are the major markets in this region.

Competitive Landscape

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The generative AI in finance market is highly competitive, with a large number of established players and new entrants. Here are some of the major players in the market such as IBM is a leading player in the AI industry and offers a range of AI solutions for the finance industry, including AI-powered fraud detection, risk management, and personalized banking services.

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Scope of the Report

Report Attribute Details
Market Value (2022) US$ 1,397.9 Mn
Market Size (2032) US$ 27,430.7 Mn
CAGR (from 2023 to 2032) 35.70%
North America Revenue Share 47.2%
Historic Period 2016 to 2022
Base Year 2022
Forecast Year 2023 to 2032

Market Drivers

  • Machine learning algorithms have advanced: Deep learning and reinforcement learning are two of the most advanced algorithms in machine learning. They allow models to be trained on large amounts of data as well as produce highly accurate predictions. Financial institutions can now use generative AI for many applications including portfolio optimization and fraud identification.
  • A rising amount of data: The finance sector is generating vast amounts of data every day, which can be challenging to analyze using traditional methods. Generative Ai can help financial institutions to leverage this data by generating new insights & predictions that can inform decision-making.
  • Cost savings: Generative AI can help financial institutions reduce costs by automating processes that were previously performed manually, including data analysis and fraud detection. This can enable financial institutions to enhance their efficiency and reduce their operational costs.

Market Restraints

Data privacy and security concerns, Limited interpretability, and Implementation challenges are Restraining the Growth of the Market.

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  • Data privacy and data security concerns: Generative AI needs access to a large amount of financial information, which could raise questions about data security & privacy. Financial institutions need to ensure they collect and store data securely, as well as comply with regulations regarding data privacy.
  • Limitation in interpretability: Because generative AI models are complex and hard to interpret, it can be difficult for financial institutions to understand how they make predictions. It can be difficult to detect errors or biases within the models. This may limit the utility of generative AI in certain applications.
  • Implementation challenges: Implementing solutions based on generative AI can be difficult, especially for smaller financial institutions which may lack the expertise or resources to create and deploy such solutions. Hiring data scientists, creating algorithms, and integrating generative AI with existing systems and processes can be expensive.

Market Opportunities

The growth opportunities for generative AI in finance are significant, and there are several areas where generative AI has the potential to transform the industry. Some of these growth opportunities include:

  • Risk management: Generative artificial intelligence can be used in financial services to better manage risks. This will allow financial institutions to identify risk and manage it more effectively. The use of generative AI is also used for fraud detection, prevention and assessment, and management of credit and market risks.
  • Chatbots and virtual assistants: The banking sector may employ generative AI to create chatbots & virtual assistants that can offer customer support and assistance. These chatbots and virtual assistants can be programmed to understand and respond to client inquiries as well as offer tailored advice depending on customer data.

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Report Segmentation

Deployment Model Insight

Based on the deployment model, Cloud Deployment is currently the dominant deployment model in the Generative AI in Finance Market. Cloud-based technologies are increasingly being adopted by the financial sector, and cloud deployment offers many benefits, including scalability. flexibility, and cost-effectiveness. Cloud deployment allows financial institutions to quickly and easily access AI resources and capabilities, without needing to invest in hardware and infrastructure. In recent years, on-premises and hybrid deployments have also seen significant growth. This is because some financial institutions choose to keep their AI data and infrastructure on-premises, either for regulatory or security reasons, but others do it to benefit from both cloud and on-premises deployment models.

Application Insight

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Based on the application, The Risk Management segment dominates the Generative AI in Finance Market by Application. The market is dominated by the Risk Management application segment due to increasing demand for AI-powered risk management solutions that can assist financial institutions in identifying, analyzing, and mitigating risks in real-time. By analyzing huge amounts of data, and identifying risks, generative AI can assist financial institutions in making more informed decisions. Other application segments, such as Fraud Detection and Investment Research, as well as Trading Algorithms, are expected to grow significantly in the next few years, as financial institutions adopt AI technology to improve their efficiency.

Technology Insight

Based on the technology, Deep Learning Technology dominates the generative AI in finance market. Deep Learning has revolutionized the field of machine learning by allowing computers to learn complex patterns from large amounts of data. This makes it ideal for analyzing financial information and forecasting market movement. Deep learning algorithms are capable of processing huge amounts of data including stock prices and trading volumes. This technology is also being used to develop trading algorithms that can buy and sell automatically based on market data in real-time. The technology of natural language processing involves the analysis and generation of human language. This technology is used for applications like sentiment analysis.

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Market Segmentation

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Based on the Deployment Model

  • Cloud Deployment
  • On-Premises Deployment
  • Hybrid Deployment

Based on the Application

  • Risk Management
  • Fraud Detection
  • Investment Research
  • Trading Algorithms
  • Other Applications

Based on the Technology

  • Deep Learning Technology
  • Natural Language Processing Technology
  • Computer Vision Technology
  • Reinforcement Learning Technology
  • Other Technologies

By Geography

  • North America
    • The US
    • Canada
    • Mexico
  • Western Europe
    • Germany
    • France
    • The UK
    • Spain
    • Italy
    • Portugal
    • Ireland
    • Austria
    • Switzerland
    • Benelux
    • Nordic
    • Rest of Western Europe
  • Eastern Europe
    • Russia
    • Poland
    • The Czech Republic
    • Greece
    • Rest of Eastern Europe
  • APAC
    • China
    • Japan
    • South Korea
    • India
    • Australia & New Zealand
    • Indonesia
    • Malaysia
    • Philippines
    • Singapore
    • Thailand
    • Vietnam
    • Rest of APAC
  • Latin America
    • Brazil
    • Colombia
    • Chile
    • Argentina
    • Costa Rica
    • Rest of Latin America
  • Middle East & Africa
    • Algeria
    • Egypt
    • Israel
    • Kuwait
    • Nigeria
    • Saudi Arabia
    • South Africa
    • Turkey
    • United Arab Emirates
    • Rest of MEA

Market Key Players

  • IBM Corporation
  • NVIDIA Corporation
  • DataRobot, Inc.
  • Symphony Ayasdi
  • Kavout
  • AlphaSense
  • Other Key Players

Recent Development

  • Goldman Sachs announced in 2022 their plans to employ Generative AI for creating synthetic data sets used for testing trading strategies and risk assessments.
  • JPMorgan Chase announced their AI initiative to monitor large volumes of transaction data to detect suspicious patterns that could indicate any fraudulent activities.
  • 2022: BlackRock announced their intention to use artificial intelligence that is generative to expand their portfolio of risk management and optimization solutions.
  • 2022: FICO unveiled plans to use Generative AI for creating synthetic credit card applications which will improve its Fraud detection algorithms.
  • 2022: Moody’s Analytics announced it would use artificial intelligence-generated synthetic credit ratings for training its credit risk models.

Related Reports

  • Generative AI in the Financial Services Market size is expected to be worth around USD 9,475.2 Mn by 2032 from USD 847.2 Mn in 2022, growing at a CAGR of 28.1% during the forecast period from 2023 to 2032.
  • Generative AI in Insurance Market size is expected to be worth around USD 5,543.1 Mn by 2032 from USD 346.3 Mn in 2022, growing at a CAGR of 32.9% during the forecast period from 2023 to 2032.
  • Generative AI in Retail Market size is expected to be worth around USD 8,386 Mn by 2032 from USD 395 Mn in 2022, growing at a CAGR of 36.8% during the forecast period from 2023 to 2032.
  • Money Transfer Services Market size is expected to be worth around USD 110.8 Bn by 2032 from USD 26.5 Bn in 2022, growing at a CAGR of 15.8 % during the forecast period from 2023 to 2032.

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Artificial Intelligence

More than 150,000 money laundering accounts detected in APAC

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Region sees 108% increase in voice scams as fraudsters continue shift to mobile
MELBOURNE, Australia and MUMBAI, India, June 25, 2024 /PRNewswire/ — A new financial crime report out today details how criminal organizations in the APAC region now outsource the laundering of money stolen via scams to international syndicates specializing in this cleaning. BioCatch identified and helped APAC banks shut down more than 150,000 money mule accounts in 2023 and estimates exponentially more such accounts in use across the region.

“Where there are scams, there are mules,” BioCatch Director of Global Fraud Intelligence Tom Peacock said. “Criminal organizations use these mule accounts as intermediate stops between the victim’s bank account and the final account from which they plan to withdraw their stolen money. The mules we’ve identified almost certainly represent a tiny fraction of those actively laundering money in the region, with more cropping up every day. Financial institutions in APAC and around the world must do more to identify these mules, hamper their ability to open new accounts, and identify those legitimate accounts money launderers succeed in turning from good to bad.”
In this latest edition of its Digital Banking Fraud Trends in APAC report, BioCatch – which identifies and prevents fraud and financial crime in real time by analyzing as many as 3,000 different physical behavior patterns (mouse movements and typing speed, for example) and cognitive signals (hesitation, segmented typing, etc.) in search of anomalies – points to mobile malware as the greatest threat to banks in Southeast Asia in 2024.
“Whether through SMS-mining or illegal loan apps, we’ve seen an explosion in Android-based malware in the region,” Peacock said. “Malware developers continue to innovate, circumventing bank and Google Play Store defenses to harvest what they need from mobile devices to access digital banking accounts and then transfer away the victim’s funds to a money mule.”
There is reason for hope in fighting fraud in APAC, however. In Australia, the number of reported scam cases grew by 13% in 2023, but scam losses declined by $90 million.
“Nine out of the 10 largest Australian banks employ BioCatch solutions to protect their customers from fraud and financial crime by analyzing the behavior of the user behind every online banking session,” BioCatch APAC Vice President Richard Booth said. “Already in 2024, we see massive progress: Money lost to fraud in the country declined by 48% in the first quarter of this year compared to Q1 of 2023. It’s difficult to reach any conclusion other than that BioCatch has left Australian digital-banking customers far safer from fraud than they were before.”
Other key findings:
No desktop or laptop needed: BioCatch found as much as 70% of all reported frauds in APAC originated from mobile apps in 2023, an increase of 17% from the year before.Scams are everywhere: Across the region, the number of reported voice scams increased by 108% in 2023.Australia bucking all trends: In addition to seeing fraud losses actually decline, the nation also saw fewer fraud cases involving malware or Remote Administration Tools (RATs) in 2023 than it did in 2022.Click here to access BioCatch’s complete 2024 Digital Banking Fraud Trends in APAC report.
About BioCatch:BioCatch stands at the forefront of digital fraud detection, pioneering behavioral biometric intelligence grounded in advanced cognitive science and machine learning. BioCatch analyzes thousands of user interactions to support a digital banking environment where identity, trust, and ease coexist. Today, more than 30 of the world’s largest 100 banks and 196 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships. BioCatch’s Client Innovation Board – an industry-led initiative featuring American Express, Barclays, Citi Ventures, HSBC, and National Australia Bank – collaborates to pioneer creative and innovative ways to leverage customer relationships for fraud prevention. With more than a decade of data analysis, 92 registered patents, and unmatched expertise, BioCatch continues to lead innovation to address future challenges. For more information, please visit www.biocatch.com.
Media contact:Jay [email protected]
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Puyi Fund, Managed by Highest Performances Holdings Inc., Surpasses RMB 24.0 Billion in Assets under Advice, Showing Promising Start to Strategic Transformation

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GUANGZHOU, China, June 25, 2024 /PRNewswire/ — Highest Performances Holdings Inc. (“HPH” or the Group, NASDAQ: HPH), announces that its Puyi Fund’s assets under advice for its asset allocation services reached RMB 24.7 billion as of June 21, 2024, reflecting a remarkable year-on-year growth of 188%. This substantial increase in scale showcases significant growth for the fund.

This accomplishment is primarily attributed to the Puyi Fund’s service philosophy, “long-term commitment to clients and clients’ long-term benefits,” introduced in 2023, as well as the ongoing efforts of the Company in adjusting its product strategy and embracing digital transformation. On one hand, the Company implemented a comprehensive family wealth management account system, redirecting its flagship products towards fixed-income funds and fund portfolios to enhance clients’ perception of wealth acquisition. On the other hand, the Company has elevated its overall service standard through digital transformation, greatly improving the client’s investment experience.
Transforming Product Strategy to Maximize Client Returns
In relation to product strategy transformation, Puyi Fund offers investors a comprehensive solution for managing their family wealth through a scientific approach. This solution guides investors in allocating their investment assets across three types of accounts: Flexible Withdrawal Accounts, Stable Appreciation Accounts, and High-Yield Pursuit Accounts. By considering various market conditions and cycles, investors can make informed decisions on how to distribute their funds among these accounts through a scientific approach for achieving risk mitigation, consistent asset growth, and long-term sustainable investment returns.
Taking into account the prevailing market conditions in China, Puyi Fund advises investors to allocate 25% to 90% of their funds to Stable Appreciation Accounts, depending on their risk tolerance. These accounts primarily involve investing in fixed-income funds, providing investors with consistent and reliable expected returns. By employing the stable appreciation strategy, Puyi Fund aims to restore investors’ confidence in the market, leading to increased trust and recognition. Consequently, Puyi Fund has experienced a period of rapid growth and positive development.
An analysis of data from the Chinese mutual fund market highlights the alignment of Puyi Fund’s client-centric product strategy transformation with market demands. According to Wind data, the market value of the Chinese mutual fund market stood at RMB 25.45 trillion at the end of 2021. By the end of May 2024, this amount grew to RMB 29.09 trillion, representing an increase of RMB 3.64 trillion or 14.30%. The value of equity and hybrid funds, however, experienced a decline from RMB 8.54 trillion to RMB 6.34 trillion, marking a decrease of RMB 2.21 trillion. In contrast, bond funds and money market funds collectively witnessed a significant increase of RMB 5.69 trillion. These market trends suggest that Chinese fund investors are shifting their risk preferences towards lower-risk and higher-certainty assets. Puyi Fund’s strategic transformation is well-positioned to take advantage of this evolving trend.
Enhancing Digital Service Innovation with a Focus on Client Service
In its digital transformation efforts, Puyi Fund places a strong emphasis on “client-centricity” and “service excellence”. By harnessing the power of big data, algorithm mining, and the Sensor Intelligent System, Puyi Fund establishes personalized service scenarios tailored to the unique needs of thousands of individuals. Through meticulous operations that cover the full client lifecycle, Puyi Fund offers full-scope online transactions for both public and private fund clients, establishing a distinctive digital competitive advantage. As of June 2024, the year-to-date client retention rate for fund advisory services stands at 75%, significantly enhancing the likelihood of investment profitability and returns for clients. This success enables clients to truly appreciate the value of advisory services and the time invested in their investments.
Furthermore, Puyi Fund has made continuous advancements in its intelligent client service system, leveraging digital platforms to offer investors comprehensive and efficient services. As of June 2024, the intelligent client service has catered to the needs of approximately 250,000 investors, providing 7*24 services, with a problem resolution rate surpassing 90%. Moreover, Puyi Fund complements intelligent client service with human support, resulting in a client satisfaction rate of 99%. This approach guarantees that investors receive timely and effective assistance whenever required.
Optimizing Trust-Based Communication Channels with Clients
Puyi Fund’s capability to swiftly establish client trust is attributable to its distinctive offline service channels. Unlike other third-party fund sales institutions that heavily rely on online platforms, Puyi Fund provides face-to-face, one-on-one services through offline channels. This approach is especially valuable in navigating complex investment environments, effectively calming investor emotions, enabling them to stay composed and gain a proper understanding of products, ultimately making well-informed investment decisions. Since 2024, Puyi Fund’s research and advisory team has released 28 specialized research reports and organized 19 online client exchanges, along with 35 offline client events, in response to market dynamics and client needs. These initiatives have effectively addressed investors’ concerns and enhanced their confidence.
It is worth mentioning that Puyi Fund’s institutional business has experienced remarkable growth this year, particularly in attracting clients from prominent financial institutions including banks, wealth management subsidiaries, and insurance companies. To cater specifically to institutional investors, Puyi Fund has developed an intelligent over-the-counter fund trading system called “Web-based Institution Master system”. This system provides institutional investors with a wide range of product portfolios, a comprehensive investment research system, and personalized trading experiences. As a result, it comprehensively improves the service quality and efficiency for institutional clients.
As of June 21, Puyi Fund established partnerships with 117 mutual fund companies, including the top 20 fund managers in terms of size, providing access to nearly 11,000 public funds and implementing over 20 customized advisory strategies. In the private fund sector, Puyi Fund has selected over 30 fund managers from the entire market. Of these, 38% manage assets over RMB 10 billion, while 29% manage assets between RMB 5 billion and RMB 10 billion. This selection covers a wide range of mainstream strategy products in the market, catering to the allocation needs of various types of investors.
It is reported that Puyi Fund, an independent third-party fund sales institution holding a fund sales business license issued by the China Securities Regulatory Commission, operates as a subsidiary of Highest Performances Holdings Inc. (NASDAQ: HPH). Embracing the concept of buyer advisor, Puyi Fund is dedicated to delivering comprehensive family financial asset allocation services to individual investors and diversified financial services to institutional investors through its financial technology service platform. With exceptional resource integration capabilities, professional research expertise, and high-quality client service, Puyi Fund strives to cultivate long-term partnerships with clients, catering to their personalized asset allocation needs in various scenarios while assisting a broader range of investors in achieving sustainable long-term returns. As of December 31, 2023, the accumulated assets under Puyi Fund’s allocation advisory services surpassed RMB 75.1 billion, exhibiting a compound annual growth rate of 128.8% from 2015 to 2023.
About Highest Performances Holdings Inc. (NASDAQ: HPH)
HPH was founded in 2010 with the aim of becoming a top provider of smart home and enterprise services. Its mission is to improve the quality of life for families worldwide, focusing on two main driving forces: “technological intelligence” and “capital investments.”HPH has a global strategic perspective and identifies high-quality enterprises with global potential for investment and operations. Its areas of focus include asset allocation, education and study tours, cultural tours, sports events, healthcare and elderly care and family governance.
HPH currently holds controlling interests in two leading financial service providers in China, namely Fanhua Inc., a technology-driven platform, and Fanhua Puyi Fund Distribution Co., Ltd., an independent wealth management service provider.
Highest Performances Holdings Inc., formerly known as Puyi Inc., was renamed on March 13, 2024 to reflect its strategic transformation.

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ID Verify Now Available for Yardi Breeze Premier Clients

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Leading software provider introduces biometric technology as the first step in the resident screening process
SANTA BARBARA, Calif.  , June 25, 2024 /PRNewswire/ — In response to the increase in fraudulent applications in multifamily rentals, Yardi® has launched ID Verify for Yardi Breeze® Premier clients in the United States and Canada. The use of biometrics is emerging as a standard screening practice in North America, as it allows property managers to confirm applicant identities before scheduling a tour.

Employing ID Verify as the initial step in the resident screening process provides Breeze Premier clients with a higher level of fraud prevention. Prospective renters simply upload a selfie and a photo of a government-issued identification document to the cloud. Then ID Verify detects fake IDs and validates real identities, ensuring a secure and reliable screening process. The new technology can also manage resident, visitor and vendor access, enhancing community security.
When paired with ScreeningWorks® Pro in the United States or Yardi® Resident Screening in Canada, property managers centralize resident screening data with their property data. This single source of truth provides multifamily businesses with a deeper understanding of who they’re renting to, ensuring greater confidence and quality in resident selection.
“Rising fraud increases the risks of bad debt,” said Peter Altobelli, vice president and general manager of Yardi Canada Ltd.” However, we’re optimistic that ID Verify will safeguard the future of the multifamily market when implemented as the first step in the resident screening process.”
Book a demo to learn more about ID Verify and how it will benefit your property management business.
About Yardi
Celebrating its 40-year anniversary in 2024, Yardi® develops industry-leading software for all types and sizes of real estate companies across the world. With over 9,000 employees, Yardi is working with our clients to drive significant innovation in the real estate industry. For more information on how Yardi is Energized for Tomorrow, visit yardi.com.
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