The Top 5 Use Cases of Graph Databases

The | February 19, 2020

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Graph databases enable you to generate competitive insights and derive significant business value from your connected data. Discover the top five most impactful and profitable use cases of graph databases, including fraud detection, real-time recommendations, and master data management, among others.

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Digital Asset

Digital Asset builds distributed, encrypted straight through processing tools. Our technology improves efficiency, security, compliance and settlement speed. The Digital Asset Platform delivers flexible infrastructure for regulated financial institutions to share processes and data securely, on a need-to-know basis, without the need for reconciliation. It combines a permissioned Distributed Ledger with a powerful financial modeling language to ensure that each institution operates from a single source of truth.

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How Blockchain is Changing the Banking Industry

Article | June 28, 2021

How Blockchain is Changing Banking and Finance Industry We all have basic knowledge about Cryptocurrency and Blockchain technology, and many peoples understand its complex structures and its valuable benefits for the future. That's why many peoples believed that it's the future of currency exchange. Apart from Cryptocurrencies like Bitcoin, Dogecoin, Etherium, etc., Blockchain has the potential to use the existing technology up to its peak to exchange transaction information and data. With more security and easy to trace back previous transactions benefit, we can say it is the new age of Electronic currency to avoid human errors and frauds. Blockchain technology in Banking Around the many conspiracies and fake theories about Blockchain and Cryptocurrency, many organizations and even countries like Australia, China, Japan, and other developed nations embraced this Blockchain in Banking as a future of seamless exchange of transactions. Apart from that, its decentralized transactions are easy and more secure than we have today. Blockchain could change the current banking technology used by its admins to trace and track the record of every exchange of digital money to lessen the frauds and reduce the time and human efforts. Prominent players of the Bank and Finance Industry like the Bank Of America, JP Morgan Chase, Citi Bank, and other renowned players of finance sectors using Blockchain in banking to improve funds transfer between banking institutions globally and maintain every record of their history of transactions effectively. How Blockchain is helpful in Banking Blockchain technology is a decentralized ledger of transaction which enables the bank to keep track of all the transactions publicly and transparently. It provides a direct connection between the sender and receiver of payments. No intermediary and complete control of the transaction exists in between them. Because of this reason, it provides a way for financial services to work more specifically and without errors to make payments securitization more precisely. This makes Bitcoins that uses Blockchain technology a better option of investment. Benefits of Blockchain in Banking As you continue to read this article, you might have an idea about this new age technology's immense benefits in the finance sector. Let's take a look at how it can be more helpful in the upcoming future. Security: The primary concern of 21st century’s banks is their security. No one knows who will hack their systems and scatter with the money of people who trust the financial system. With Blockchain technology, security issues such as suspicious activities are easily tracked. It is hard to decode the encryption of the Blockchain and takes too much time because the data is not stored on one server but across a huge network of computers. These computers constantly check and verify the records and data. This feature allows a noteworthy use for Blockchain in banking. For a hacker, it is hard to breach many servers. Every transaction that gets recorded in a Blockchain ledger undergoes complicated sets of encryption interconnected with the next block, which results in an unaltered series of coded data "blocks," each dependent on a ledger series. That's why it is one of the best cyber-protection against hacks in this internet world. Fast transaction: If you want to transfer money to someone living in another country, you go to the bank and might have to stand in the long queue for your turn. Once you forward your request, it takes 5 to 10 days to credit the amount in the bank of the recipient. Blockchain can easily reduce such a long time-consuming process. It has the potential to complete the transaction within minutes, not in a day. It saves your valuable time, though. Easy to track and transparency: No doubt that it is a highly transparent and traceable system as compared to the traditional finance system. Every record of amount can be easily tracked with a digital recording system. It reduces the need for time-consuming and costly third-party verification tools. Also, it undoubtedly offers visibility into the transaction history within the banks' operations. Reduce fraud: It can reduce hacking, DDOS attacks, and other scams. Blockchain helps banks to identify their user's IDs and confirm their detail with digital Blockchain ID. It automatically reduces future frauds, which is the biggest concern of the banking system. How bank can use Blockchain: With Blockchain in banking, financial institutions would not need to depend on the network of custodial services and regulatory bodies like SWIFT. They can easily settle transactions directly on a public Blockchain. Here are few benefits of using the new-age technology. Verifying Digital Identity: Banks can't process online transactions without the verification of a person. This process can be done via face-to-face verification, logging in with passwords, or sending OTP on registered mobile numbers. Although, after the application of Blockchain technology, this process becomes more seamless and more secure due to its accurate data reading capability. Smart Contracts: It might be possible to automate the process of transaction, which costs time, added complexity, and delays the transactions using smart contracts. It is a contract with terms and agreements between the buyers and sellers' business. This computerized contract permits the trustworthy transaction completely free from any central authority or external enforcement mechanism. The new way to do business is here. Faster lending: Loan processing takes too much of the user’s valuable time. It can be reduced with Blockchain. This use of the technology is called Blockchain lending. Blockchain lending can give direct benefit to customers by reducing the growing costs. It provides lenders with a competitive offer and helps them do the transaction faster and without any security defect. Blockchain-based Smart Contracts ensure that loan seeker and lender agree viable and fair terms regarding proof of funds and payment planning for future installments. Blockchain technology has lots of advantages and revolutionary benefits to finance and banking institutions. Though, still, people are generally unaware of this technology and fear of adapting to it. This might cost us time to unify our currency and have a better future. Frequently Asked Questions: How is Blockchain used in finance? Blockchain technology can improve finance and lending services by lowering counterparty risk and shortening issuance and settlement periods. It enables: authenticated paperwork and KYC/AML data, reducing risk exposures and facilitating real-time financial document verification. What is an example of Blockchain? Bitcoin is a well-known example of Blockchain in operation. This is a type of digital money (commonly called a cryptocurrency). This electronic form of funds may be transmitted safely from user to user without the need for intermediaries. In other words, there is no requirement for a central bank or administration. Bitcoin isn't the only currency that uses Blockchain technology. Where can Blockchain be used? Blockchain uses extend well beyond cryptocurrencies such as Bitcoin. With its capacity to increase openness and fairness while also reducing businesses' time & expense, the technology influences a wide range of areas, from contract enforcement to making government run more effectively. What software is used for Blockchain? There is multiple software available in the market for Blockchain technology; some of them are: Solidity is one of the most widely utilized programming languages among Blockchain developers. Geth is a Go-based Ethereum node implementation. Mist is the authorized Ethereum wallet created by Ethereum's makers. Is Blockchain the future? Blockchain technology has several uses in a variety of sectors. Blockchain is already being utilized to help with identity management, smart contracts, supply chain analysis, and many other things. The full potential of Blockchain technology is unlikely to be realized. Till then, it is safe to assume that Blockchain is the future of the Fintech industry. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How is Blockchain used in finance?", "acceptedAnswer": { "@type": "Answer", "text": "Blockchain technology can improve finance and lending services by lowering counterparty risk and shortening issuance and settlement periods. It enables: authenticated paperwork and KYC/AML data, reducing risk exposures and facilitating real-time financial document verification." } },{ "@type": "Question", "name": "What is an example of Blockchain?", "acceptedAnswer": { "@type": "Answer", "text": "Bitcoin is a well-known example of Blockchain in operation. This is a type of digital money (commonly called a cryptocurrency). This electronic form of funds may be transmitted safely from user to user without the need for intermediaries. In other words, there is no requirement for a central bank or administration. Bitcoin isn't the only currency that uses Blockchain technology." } },{ "@type": "Question", "name": "Where can Blockchain be used?", "acceptedAnswer": { "@type": "Answer", "text": "Blockchain uses extend well beyond cryptocurrencies such as Bitcoin. With its capacity to increase openness and fairness while also reducing businesses' time & expense, the technology influences a wide range of areas, from contract enforcement to making government run more effectively." } },{ "@type": "Question", "name": "What software is used for Blockchain?", "acceptedAnswer": { "@type": "Answer", "text": "There is multiple software available in the market for Blockchain technology; some of them are: Solidity is one of the most widely utilized programming languages among Blockchain developers. Geth is a Go-based Ethereum node implementation. Mist is the authorized Ethereum wallet created by Ethereum's makers." } },{ "@type": "Question", "name": "Is Blockchain the future?", "acceptedAnswer": { "@type": "Answer", "text": "Blockchain technology has several uses in a variety of sectors. Blockchain is already being utilized to help with identity management, smart contracts, supply chain analysis, and many other things. The full potential of Blockchain technology is unlikely to be realized. Till then, it is safe to assume that Blockchain is the future of the Fintech industry." } }] }

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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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Effective Use of Intent Data for Financial Institutions

Article | June 30, 2021

The world began its course to become a digital open book after the internet came into existence. With almost everything available for purchase, the internet has brought the world to the buyer's doorstep. With the purchase, comes the data, and with effective use of the data collected within a period, any industry can speculate the buyer’s journey and take compelling steps to attract the buyer. Looking at the facts, around 93% of purchases start with internet research. Intent data is the name of the collection of the behavioral signals that a user shows while purchasing anything. This data helps businesses be available at the right time and the right place to pitch their product to the customer who is already interested in buying what they are selling. Businesses can analyze these signals, accurately understand where the prospect is in its buying journey and can give a solution to the problem. With intent data, even financial institutions can up their game and generate greater ROI while accurately predicting the buyer’s position in its purchase journey, and provide the best value to attract him/her. With over terabytes of intent data available for use, financial institutions can use it to flourish in this pandemic hit economy, using fewer resources and marketing their services to ready to buy consumers. Since its inception, intent data is on the top priority of every marketer’s to-do list, with its usage in advertising campaigns, outreach campaigns, content creation, SEO, etc. This article covers how financial institutions can use intent data to their advantage, provide value to the user, and draw massive attention to their platform to reach their ultimate goal and generate more revenue. Before going further, let’s understand the basic concept of intent data and its type that comes into the use for financial institutions. WHAT IS INTENT DATA? Intent data refers to collecting information on online behavioral insights of internet users or prospects, allowing you to better focus on the audience that has more chances of buying your products or services. To put it simply, intent data will help you display your product or services to those already searching for it. For example, your financial department is facing challenges to keep the accounting on track, checking the organization’s financial status, etc. While, you look for the solutions online, you Google “best financial tool for in-house accounting.” Out of millions of search results, your search concludes with some of the top tools like Robotic Press Automation (RPA) in accounting kept aside. Now, your search would be more specific and according to the selected tools. Now, for comparing and selecting the best tools, you may Google- “How RPA keeps track on accounting?” “What is the ROI of RPA in accounting for small enterprises?” “What is the role of RPA in accounting?” And so on. Notice how your search query got specified after some informative searches. Imagine having the power of intent data of your customers and satisfying them with your content. Intent data helps you nurture a highly targeted audience and eventually convert them into your clients. When prospects face challenges, they search for the solution online. While providing the solution for any specific query, websites ask the prospects to accept their cookies. These cookies monitor their intent of searching and this data is then pushed to the marketers to mold their campaigns suited better for these targeted customers. Let’s look at how financial institutions can focus their campaigns on highly targeted prospects with types of intent data. TYPES/SOURCES OF INTENT DATA The types of intent data divide the vast information of intent into three types - first party, second party, and third party. First-party The data you now gather on known contacts and anonymous visitors is first-party intent data. It can also involve prospective website connections, newsletters, emails, and social media. You can use the first-party intent data to segment messages, build workflows, and get more leads. You can assist your marketing and sales team in determining how to approach and convert a prospect. Second-party Second-party data refers to data collected by another company. It is like gaining insights into your prospects from the shops they have visited earlier. The second-party intent data includes review websites and publishing networks. And all this information is voluntarily provided by the user. Sometimes, the user may also share the contact details and their business email id. Third-party While some systems only track a network of pages, third-party intent data is gathered from all across the web. In several cases, this intent data is extracted using one of 3 techniques: reverse IP lookup, Bidstream data from ad networks and widgets, and media exchange/publishing participants. Third-party intent data can show the user’s intent that is relevant to your campaign. STEPS TO BUILD GREATER ROI FROM INTENT DATA How can a financial institution decide whether a particular lead is worth its investment? Answer: By lead qualification. By segregating each lead into three types, you can decide whether the prospect is an active buyer or someone who wants some information over the web. It allows the marketing team to use their time efficiently and target the leads which are likely to convert. For significant ROI from intent data, financial institutions should gather intent data and segregate it into three types of B2B data- Fit data, Intent data, and Opportunity data. Fit data Fit data shows how well your product or services fit the need of the customers. Imagine if a financial institution provides loans on a low credit score, and a user searches for loans on a low credit score, we can call this collection of information as fit data. With this information, you can efficiently use your time and investment to target a specific prospect. This information collection may include the prospect’s age, sex, job level, job function, and the residing location. Fit data is generally the data that won’t change quickly. It may give you a right fit of prospects for your campaign but cannot tell you the right time or context of search intent. Opportunity data Opportunity data is event-based data on particular prospects. Suppose, you are a financial institution providing a car loan on reduced interest rates, and you come to know that a specific company is crediting bonus salary to its employees. If you market your car loan services to their employees, you can have more leads as you know they have a bonus salary in their account. This is called an opportunity data, which sometimes is also referred to as data scoops that give you information about favorable conditions for sale. As the name suggests, the opportunity data gives you the data of a perfect opportunity to market your services to targeted prospects. Intent data Intent data indicates that the time has come to engage with folks who actively express a desire to acquire a solution. When the intent data is integrated with other signals and a solid fit, the chances of conversion increase dramatically. It's helpful to know when there's movement at a company, but if you don't know who to connect with and don't have a phone number or email address for them, it's only informative. You need actionable data along with intent data to perform a perfect marketing campaign. COMMON USE OF INTENT DATA A Segment to sort out active prospects With the use of intent data, B2B marketers find companies actively looking for products or services they are serving. Intent data solutions provide segmentation tools that you can utilize to sort out active prospects that fit perfectly with your services. This segmentation tool can help you filter your prospect with an unlimited combination of the type of company, contact details, location, industry, and technology they use. Intent data for Account-Based Marketing Leading B2B marketers use intent data to drive their ABM campaigns as it naturally fits these campaigns. ABM and intent data are the two sides of the same coin, as ABM delivers results through specific account’s interest and intent data provides timely opportunities to initiate the contact. Integrating both helps you elevate your marketing reach. Intent Data for marketing campaign Optimization Integrated marketing strategies help financial institutions because marketers can pump useful insights to drive effective and relevant demands. The sales team of financial institutions get into the conversation with the buyer while having more information on their pain points and what solutions they are looking for, giving them an upper hand in exchange. SIGNIFICANT FINANCIAL MARKETING TREND Insight-driven marketing With the help of effective machine learning and artificial intelligence, insight-driven marketing helps financial institutions to offer financial assistance to the right fit of customers. Marketers can further collect the right type of customers that fits the services and not the other way around. Prospects with other financial needs can be routed to more appropriate services you offer. Awareness of the customer journey Intent data helps financial institutions optimize and understand the customer journey and correctly map customer interactions. It enables to influence the end-to-end experience of the customer. By having a perfect understanding of where the customer stands in the customer journey, financial institutions can market their services according to their needs. Increased personalization Intent data allows the marketers to look further into the minds of their prospects. It enables them to read the customers as an open book while segmenting them on their thought process. For example, which customer is more savings-oriented? Which one is planning for their retirement? With these insights, marketers can match the right customers to their services with the relevant type of marketing to compel the audience. TYPES OF MARKETING SIGNAL AVAILABLE Signals are the hints prospects resonate, showing financial institutions they are ready for being potential customers. These signals are everyday actions like Googling stuff they need orLike hard searching online, clicking on financial institution ads, applying for any loans, and paying off debts. Financial institutions can use these signals to run highly specific marketing campaigns. Let’s look into these marketing signals further. Most marketing signal falls into three major categories, such as: Behavior-based The behavior-based marketing signal includes hard searching like credit inquiries and online searches that signal intent to look for services. It may also include some minor changes that indicate future requirements like a change of residence or buying intent of large purchases like automobiles and real estate. Event-based Event-based marketing signals include automobile lease expiring, mortgage rate settings, or child passing the high school. These are the hints that indicate the prospect is going to have a requirement for your services. These signs show that the customer is about to have a significant financial shift, and financial institutions can use this opportunity to market their services. Predictive Predictive signals are passive hints that prospects show. It may not be as obvious as behavior-based, but it can set a boundary to your targeted customers. Some of the predictive marketing signals could have data of savings, debit consolidation, and mortgage refining. Predictive marketing signal can give low fidelity and can assure you the maximum coverage of your marketing campaign. CONCLUSION Using signals to attract and retain consumers is an effective component of a well-thought-out marketing strategy. Moving to a signals-based strategy, on the other hand, does not have to be a huge overhaul of your current procedures. Continue to use your tried-and-true strategy, but experiment with new ways of analyzing and responding to signals. Worried about how much money you'll need to set aside to fund the signal-based marketing strategies? You can assess the ROI of the marketing strategy before expanding your program if you start with a scalable service with no commitments. Traditional signals continue to be relevant and form the basis for customer-focused marketing. Combining them with potentially powerful signals that indicate purchase intent will enable proactive communication and elevate financial marketing initiatives to the next level.

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5 Ways AI can Transform Fintech Industry

Article | February 25, 2020

Fintech is one of the fastest-growing industries, owing to the rising penetration of internet users. There is a paradigm shift to mobile devices for performing financial transactions and related actions. Behind the booming fintech market, there are several technologies that are contributing to making the system fast, secure, and scalable. One such technology is Artificial Intelligence (AI). The AI in the fintech market is estimated to reach USD 35.40 billion by 2025 ( Mordor Intelligence).

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Spotlight

Digital Asset

Digital Asset builds distributed, encrypted straight through processing tools. Our technology improves efficiency, security, compliance and settlement speed. The Digital Asset Platform delivers flexible infrastructure for regulated financial institutions to share processes and data securely, on a need-to-know basis, without the need for reconciliation. It combines a permissioned Distributed Ledger with a powerful financial modeling language to ensure that each institution operates from a single source of truth.

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