Tag: Indus Net Technologies (Int.)

INT. Pulse

INT. PULSE

Dear Colleague, each month, all of us at INT. Marketing dive into a dizzying research gig to write the best opening section of this newsletter (Fyi, Pulse has 35K+ monthly subscribers now 😎). Here’s this month’s winner – the Forrest Gump of tech, aka, Yahoo! And Why Is That? Sample this – Yahoo had a peak dotcom-days valuation of USD125 billion but ultimately – hold our coffees – was sold to Verison for USD4.8 billion in 2016. Here are five 🤯 Yahoo moments: In 1998 Yahoo refused to buy Google for USD1 million. 4 years later, in 2002, Google said it would sell to Yahoo for USD5 billion (but Yahoo only offered USD3 billion, meaning – no deal, sir.) ⏩ to 2006, Yahoo offered USD1 billion for Facebook but Zuckerberg turned it down. Sources said, if Yahoo had increased their bid to USD1.1 billion, Facebook’s board may have pushed for sale, but Yahoo didn’t budge. Come 2008, Microsoft offered to buy Yahoo for USD46 billion, but Yahoo said ‘Noooooo Wayyyyy!’ And finally, in 2013, Yahoo bought Tumblr for USD1.1 billion, writing it down to USD230 million just 3 years later. Psst: Also, instead of Tumblr, it considered buying Netflix for USD4 billion, now worth USD140 billion. STATS: Fastest Finger Hand First In a world where acronyms like DAU and MAU rule the roost, your mother-in-law will tell you that it would be wise to know the number of years it took each of the following to gain 50 million users, per the World of Statistics: Airlines: 68 yearsCars: 62 yearsTelephones: 50 yearsCredit Cards: 28 yearsTV: 22 yearsComputers: 14 yearsThe Internet: 7 yearsPayPal: 5 yearsYouTube: 4 yearsFacebook: 3 yearsTwitter: 2 yearsWeChat: 1 year ChatGPT: A little less than 30 days, and……🏆 PornHub: 19 days AI/ML: How Big Tech Effed Up (Major Time) ­All of us are in the know about tech layoffs, triggered by the arrival of generative AI. However, while dishing out pink slips may have made investors happy, there is another side to the story. Yeah? And What Is That? The AI Trap. Let us explain. As generative AI and coding took off, massive layoffs, led by big tech firms were triggered across the tech world. But, but, but, all these former employees are now going and building serious competition in 1/10th the time it would take biggies to get there. On the other hand, the big guys are perpetually stuck in meeting/webinar hell, arguing over use cases, tech stack, safety, and deployment methods, while solo developers knock the wind out of them, meaning, the long tail of software just grew 100X. Was It Avoidable? Probably not. You see, Covid tailwinds resulted in a huge surplus as people spent more time online and the big boys used that tailwind to hire, expecting never-ending growth. As the Covid winds died down, growth in tech crashed, leaving big tech players bloated, less agile, and ready to walk into the AI trap, with arms wide open. 💡 At INT., we have an agile AI and Advanced Analytics setup that is doing some cool work in the BFSI, Life Sciences and Retail space. Reach out to Dipak Singh to know how you can reduce costs and improve customer acquisition. ☕️ The coffee is on us! BFSI: Fintech Market Correction Is ‘Short Term’ For the last year or so, fintech exuberance has been served a super-strong shot of black coffee, with regulations clamping down hard, valuations dropping by 60% across the sector, and funding drying up by almost 43%, YoY. So, Is Fintech Dying? In one word – NO WAY! Per this BCG-QED report, the fintech growth story is only in its initial stage and is expected to grow to a USD1.5 trillion industry by 2030. Here are some key takeaways from that report. Sit back and get a hold of this. Where Does Fintech Stand Today? Word on the street is that the fintech journey is still at infancy and will continue to disrupt the financial services industry over time. Basis of that belief is; customer experience remains poor and with over 50% of the global population remaining unbanked or underbanked, financial technology (FinTech) is the only means to unlock new use cases, resulting in growth going up by leaps and bounds. Deepak Goyal, MD, BCG, opines that all stakeholders must therefore seize the moment. Regulators need to be proactive and lead from the front. Incumbents should partner with fintechs to accelerate their own digital journeys. APAC To Lead The Fintech Show Asia-Pacific is this big unserviced market, with almost USD4 trillion in financial services revenue pools, and is slated to outpace the US to become the world’s top fintech market by 2030. This growth will be driven primarily by Emerging APAC (e.g. China, India, and Indonesia) at a projected CAGR of 27%. 🔥 What’s Hot & Happening In Fintech? While payments led the last leg, B2B2X and B2b (serving small businesses) will lead the next. B2B2X is made up of B2B2C (enabling other players to better serve consumers), B2B2B (enabling other players to better serve businesses), and financial infrastructure players. The B2B2X market is expected to grow at a 25% CAGR to reach USD440 billion in annual revenues by 2030. 💡 Need to create and implement your B2B2X strategy? Souvik Chaki is your go to person, so feel free. Stuff We Are Watching ­📌 Are Credit Cards Dying? Because from now on, you can get easy credit on UPI as well. Here’s how this disruptive feature can boost the Indian Economy, or turn into a recovery nightmare, depending on who’s reading. 📌 Big Tech Work Cultures: Sample this and guess which company these people hail from – Super thoughtful, similar to Microsoft, platform mindset, but sometimes too slow to act. All Big Tech work cultures, summed up by one observer here… 📌 Why Optimise Code Anymore: Remember the old times when most software installation was done via 1.4 MB floppy disks? With storage space restrictions dead, why should developers optimise code?

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The Future of Contact Centres: How Chat GPT 4 is Revolutionising Customer Service in the BFS sector

The Future of Contact Centres: How Chat GPT 4 is Revolutionising Customer Service in the BFS sector

Customer service is a crucial function for most BFS (banking and financial services) entities, particularly since it directly influences customer satisfaction and engagement. There have been concerted efforts made by leading firms in this space towards ramping up service operations. What is the future technology for contact centres? Chat GPT 4 has come into the picture, presenting a compelling case for BFS players in terms of effectively handling customer service. Contact centres have a vital role to play in the contemporary business environment, enabling support and service to a diverse customer range.  Yet, the management and operations of contact centres can be difficult, taking the increase in customer inquiries into account, along with the need for efficiently and swiftly responding to queries. Chat GPT can completely revolutionise customer service, enabling greater benefits for BFS firms. Here’s how. A little on Chat GPT How is Chat GPT used in banking? Can Chat GPT be used for customer service? Before answering these questions, it is pertinent to note that Chat GPT is an acclaimed large language model that has been created by OpenAI. It is based on the GPT-4 and GPT-3.5 architectures, while being tailored to simulate conversations like human beings and enabling automated customer query responses. Chat GPT can also understand natural language, while being trained on diverse aspects, making it suitable for deployment across contact centres. How can Chat GPT contribute towards enhancing customer service and contact centre functions? Here are some of the ways in which Chat GPT can greatly enhance customer service and contact centre operations: It will also greatly boost customer experiences, while scaling up customer satisfaction levels considerably alongside. From recommendations to custom offers, Chat GPT can do this and more. It will help BFS players handle sudden increases in inquiries at peak times, making sure that customers get responses in a timely manner. Chat GPT for boosting the performance of contact centre employees Chat GPT can not only enhance customer service levels, but also enhance the overall performance of employees at contact centres. Here are some of the ways in which it can ensure the same: Chat GPT 4 can thus automate various tasks, thereby enhancing efficiency and overall productivity levels at contact centres. GPT-4 can completely transform communications with customers along with the total engagement levels alongside. Companies in the BFS space can automate their entire customer support functions and response/answer generation, while scaling up accuracy levels simultaneously. Businesses can take care of higher customer inquiry volumes without incurring extra costs. GPT 4 can also help BFS players build more engaging and customised customer experiences through a deeper understanding of their queries and tailoring responses accordingly. It can ensure superior customer communications through quicker content creation that saves time and resources greatly. It can generate content that is updated and accurate for customers, while keeping the relevance quotient high. Hence, it can be stated that Chat GPT 4 can be a propeller towards better functioning of contact centres in the banking and financial services segment, along with considerably ramping up customer service for better efficiency and productivity alike.  FAQs 1. How does Chat GPT 4 improve customer service in the BFS sector? Chat GPT 4 can greatly boost customer service in the banking and financial services space by automating customer responses with more personalisation and relevant answers. It can also handle a higher volume of inquiries without additional costs. 2. Can Chat GPT 4 handle complex customer inquiries and provide accurate solutions? Chat GPT 4 can easily tackle customer inquiries of a complex nature with deep-language learning and provide accurate and updated responses to queries that are increasingly relevant and not run-of-the-mill. 3. What measures are taken to ensure the security of customer data when using Chat GPT 4? Some of these measures include ensuring that there is user awareness about data usage, encryption and access control. Data regulations and privacy laws should also be adhered to by companies while using Chat GPT 4. 4. How does Chat GPT 4 reduce customer wait time and improve response times? Chat GPT 4 lowers waiting times for customers and boosts response times through generating quicker answers to customer queries along with higher accuracy levels. Customers can get answers via Chatbots and voice-bots without having to wait for human responses.

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Leveraging blockchain for secure supply chain management

Leveraging Blockchain for secure supply chain management

Blockchain has been a true game-changer if you consider cryptocurrency, and more such use cases. We all know that Blockchain is a specific digital ledger system where encrypted transactions are executed by parties on the basis of predetermined mechanisms and protocols. Ledger technology is an example of decentralization and distribution, where centralized control is not required. This enables users to transfer digital assets from anywhere without third-party involvement or contractors.  There is now a growing case for the use of Blockchain in supply chain management, in a bid to shore up security and overall transparency levels. Here’s taking a look at the applications of the technology throughout the SCM (supply chain management) spectrum.  Why Supply Chain Management Needs Blockchain Technology  Present supply chains are highly complex and are sometimes non-sequential too. They are multi-tiered frameworks with a sizeable count of logistic partners, suppliers, manufacturers, and storage partners. Whenever the system witnesses higher levels of complexity, then it becomes tougher to execute operations with transparency and higher efficiency. Supply chains can use blockchain for greater safety, transparency, immutability, and distribution.  One of the key hurdles for supply chains is the growing illegal practices and counterfeit products in the market. Supply chains have to make sure that raw materials and parts are legal. Tracing every process is also a challenge if a supply chain encompasses several locations and innumerable partners. How to know if a supplier is using unethical mechanisms for getting raw materials? How to know whether a product is counterfeit or real? Supply chains require blockchain technology which functions on the basis of smart contracts, cryptography, and traceability.  How Blockchain is Increasingly Indispensable for Supply Chain Management Blockchain is increasingly becoming crucial for more efficient supply chain management at multiple levels. Here are some of its core applications:  Traceability of specific products– A majority of supply chains begin with raw materials while concluding with finished goods. Blockchain technology traces the entire journey of any product from the raw material supply to the end-consumer. Blockchain technology ensures excellent traceability across every stage in the movement of a product which is fully transparent and immutable. This helps minimize revenue losses and recalls, while also ensuring safety at one level.  Payment mechanisms– If you are using blockchain for cryptocurrency-based payments, then these can be tracked easily and in a more transparent manner, without any central authority needed for tracking purposes.  Smart Contracts– These smart contracts can be implemented between supply chain partners using blockchain technology. Complex supply chains come with innumerable partners and there can be thousands of such contracts added to a block in the transaction. Owing to the immutability of blockchain transactions, every contract will be tamper and misuse-proof.  Information Flow Preservation– There is a humungous amount of data flowing across stakeholders in supply chains, including specifications of products, quality, and so on. With blockchain technology, the information flow is preserved, preventing loss of data, misuse, misinterpretation, or misplacement.  Higher transparency at all levels– Blockchain-based transactions are easily visible to every participant. Every transaction will be an immutable block that is also tamper-proof. This ensures greater transparency for the supply chain itself.  Finding errors in execution– Supply chain networks are highly prone to execution errors, including missing out on shipments, inventory information mistakes, payment problems, etc. Conventional systems may find it hard to detect and plug these errors on a real-time basis. Blockchain technology may be of help in creating a safer mechanism since it records each transaction immutably. Hence, stakeholders will find it easier to identify and find the cause of any execution error, thereby saving time and money greatly.  Higher Security Levels– Blockchain transactions come with encryption, courtesy of the digital signature or private key which initiates them. This makes transactions completely tamper-free and this works wonders for supply chains with several partners. Each partner will have his/her own digital signature which is unique. Whenever any purchase order or similar transaction gets initiated, it is secured with the help of this digital signature. This makes for an immutable transaction and the recipient can verify the authenticity of the purchase order alongside. Every transaction is added in the form of a block within the blockchain, and counterfeiting becomes impossible as a result. There is a sequential and trustworthy transaction trail that becomes possible, as a result.  On the whole, blockchain technology has contributed greatly towards the safety and security of supply chains, along with digitizing traditional procedures for better and more efficient operations along with real-time information transfer across participants. Companies can function at higher speeds while responding quickly to business requirements and movements. All transactions and contracts are easily saved in a secure blockchain and this means that the logic of the business, as we call it, is integrated within the supply chain network itself, and not in any offline documents that may be lost or tampered with.  FAQs What is blockchain technology and how does it relate to supply chain management? Blockchain technology is a distributed ledger technology where every transaction is stored as a block in the blockchain. It relates to supply chain management in several ways, enabling smoother operations, higher transparency, better information flow, and enhanced safety.  How can blockchain technology improve supply chain transparency and traceability? Blockchain technology stores each and every transaction immutably and in a tamper-proof manner as a block within the blockchain. Hence, there is higher traceability for every product from its origin and raw material supply to its delivery to the final consumer. This naturally enhances transparency at multiple levels, particularly with the implementation and proper storage of smart contracts.  What are the benefits of using blockchain for secure supply chain management? There are multiple benefits of using blockchain for secure supply chain management, including the immutable nature of stored smart contracts and transactions as blocks within blockchains, encrypted transactions initiated by private keys or digital signatures, easy authentication by receiving parties, easy visibility of transactions for all participants, and quicker detection and cause identification of execution errors.  How can

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Risk Assessment In The Insurance Industry

Risk Assessment In The Insurance Industry

Risk assessment in insurance is not something new; it serves as the bedrock for insurance companies in terms of analyzing risks linked to every individual policy. Before delving deeper into the transformation of these legacy processes, it is important to know what insurance company risk assessment stands for.  The procedure is also known as underwriting and is a method deployed by insurance companies for the evaluation and assessment of risks attached to insurance policies.  This helps in calculating the right premium amount for the insured individual. There are several risks linked to insurance including morbidity and mortality rate fluctuations, disasters, etc. Hence, the insurance risk assessment process goes through several methodologies including stress testing, parametric, simulation, stochastic models, benchmarking, deterministic and many others.  Risk management is the fulcrum of the industry, with insurance companies accounting for every possible factor to create high and low risk profiles for policy holders.  The risk level also influences the premiums on these policies. Insurance companies also collect massive data on prospective policy holders and the objects that are being insured.  Data mining-based statistical tools and frameworks are now being leveraged for working out risk levels. How Technology Is Changing The Game When it comes to business insurance risk assessment, several reports confirm that most companies are now looking at big data analytics and other insurance risk assessment software for augmenting their underwriting systems. When it comes to underwriting, the following steps are usually covered: With this premise at the forefront, here is how predictive analytics is transforming the entire picture: Predictive modeling enables the creation of models with mathematical/statistical tools. These illuminate future performance of policies, offering insurers a detailed analysis of risks involved in the process through inherent data patterns.  These models can be neatly added to applications. How It Benefits The Whole Insurance Ecosystem Predictive and data analytics enable superior risk assessment while helping underwriters get automated outcomes for better business decisions. Insurance companies can leverage predictive modeling and analytics for more effectiveness and consistency in the process.  This will not only help them lower costs, but also enhance overall client experiences while ensuring sizable business development simultaneously. Insurance firms will benefit from lower processing time for applications as well. At the same time, insurance companies can forecast risks well in advance. This equates to faster identification of potential problem-areas and mitigating the same in advance to save money as well.  Risk assessment can also help them customize their policy offerings for customers based on a better understanding of intrinsic factors and risk levels. When it comes to risk assessment and other analytics, Indus Net Technologies(INT) offers varied solutions for insurers.  It ensures cutting-edge big data analytics enabling decision making and better performance across metrics like customer retention, cross-selling/up-selling, claims and fraud. INT ensures efficient processes and outcomes for insurers, helping with the following: Other solutions include m-commerce/e-commerce portals, API integration, lead-capturing portals, renewal, claims and quote & buy mobile apps, core insurance processing mechanism, and portals for managing brokers.  All in all, INT. assumes the role of an end-to-end solution, while taking care of risk assessment in insurance with advanced analytics-driven solutions. About the author: Dipak Singh is a thought leader and data cruncher. Currently, he heads the Analytics Wings at INT. To know more do check out his LinkedIn profile here.

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Insurtech- The Power To Make ESG Happen

ESG (environmental, social, and governance) criteria are a set of standards that are creating a splash across boardrooms. It suffices to say that ESG will play a defining role in future operations across all business sectors and insurance is no exception. In this context, insurtech can play a pivotal part in driving seamless ESG adoption. The interesting bit here is that many societal components have an equally crucial role in spurring ESG adoption. It is but natural that insurers are steadily taking up technology as a pillar in this regard. Insurtech And ESG- How They Are Linked The insurtech space could accelerate ESG for the entire insurance industry according to experts like the founding partner at Eos Venture Partners, Sam Evans. Insurance is what offers security against mishaps, and unfortunate natural disasters enhance financial strength and offer protection in case of any death or injury to policyholders. It also plays a part in enhancing the overall well-being of policyholders. Several core components in ESG are also connected to data and technological tools, which are naturally the prerogative of the insurtech space. Right from enhancing healthcare/wellbeing quality to higher engagement with un/underserved communities to filling up the gaps in protection and coming up with metric-driven solutions or tapping into big data, insurtech is expected to do its bit in ensuring the biggest premise or principle of all- Fill up the gap in protection. Aspects Worth Noting How Insurtech Can Help Signing Off Even Deloitte has stated how insurance companies are increasingly appointing chief sustainability officers in response to ESG demands while investing more in insurtech solutions for better metrics in line with the same. The ESG concept is being more efficiently integrated into the entire underwriting journey. Scoring systems, tools for analysis, and other insurtech products may help in driving ESG-compatible development of insurance products. Right from the industrial, household, and automotive sectors to healthcare, there is a diverse scope of application.

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10 Micro Frontend Frameworks That You Must Know About

In today’s world, it is feasible to create applications with 90% front-end code. It won’t be a stretch to say that a larger part of web applications are being worked with that methodology. This carries us to a much-discussed topic in the advancement and development world. What is a Micro Frontend? Micro Frontend implies moving toward the front-end improvement cycle of web applications with the idea and thought of microservices. Up to this point, the predominant practice was to utilize microservices design as the establishment on which rich applications can be constructed. The applications, accordingly, created were known as Frontend Monolith. The disadvantage of this methodology was that the engineering turned into a piece of the application over time. Since it is grown independently, upkeep ended up being a test. Micro Frontend was considered to take care of this issue. The main idea behind its methodology is, a web application is an assemblage of autonomous elements that can be created by various groups and afterward combined to make a homogenous interface. The Micro Frontend Architecture works with a cross-functional methodology where various groups with unmistakable specializations foster start to finish highlights, going from data set to UI. The subsequent application is less cumbersome and significantly more cordial. The application is parted according to business areas across the stack. Inferable from which, front-end designers can benefit a similar speed and adaptability as backend groups have when working with Microservices engineering. The following are the main 10 frameworks one can use to assemble the Micro Frontend architecture: Bit: A Bit is a product prepared solution for building Micro Frontends, which additionally makes it one of the most well-known systems there is. It permits you to make and oversee frontends through autonomous parts. The Bit landing page in itself is with respect to how autonomous parts should be consistently coordinated to make a homogenous item. You can work just as incorporating parts by using Bit. It inclines in the direction of the form time approach for making frontends, permitting engineers double advantages – heartiness and security of stone monuments, just as versatility and adaptability of Micro Frontends. Bit utilizes an open-source library to make parts genuinely autonomous of one another. Simultaneously, their cloud stage works with cooperation among groups to coordinate these parts eventually. Spot’s own landing page is the best illustration of how this structure can be utilized by conveying the Micro Frontend strategy. The page has been worked by utilizing two unique codebases on GitHub – base-UI and evangelist – for creating individual parts. The part created by the frontend framework group utilizes base-UI, which is Bit’s most essential framework for the part plan. The singular parts in this piece have been created in a decoupled codebase and afterward shared and distributed on Bit.dev. This methodology makes the parts effectively discoverable for being incorporated with those created by different groups. The other part of the landing page involves parts that are likewise evolved in a decoupled codebase utilizing evangelist – a showcasing-driven framework, which is possessed by the promoting group. Anybody utilizing the Bit system approaches a comparable work process where groups can assemble, form, test, and distribute every free part. These parts would then be able to be presented to the groups for coordinated effort and reconciliation. Module Federation: Module Federation is a JavaScript design that allows fostering different separate builds with next to no codependency. These are created and conveyed autonomously. They meet up to shape a solitary application, similar to bits of a jigsaw. This tool influences the runtime approach and permits JavaScript to progressively import code from different applications. This prompts the production of a JavaScript section record that is accessible for download to different applications with the assistance of a Webpack design. This is one of the best apparatuses for countering the code dependency issue. Hence it empowers group size extension through dependency sharing. SystemJS: Even though SystemJS is definitely not a Micro Frontend structure, its job as a cross-program the board answer for modules is vital to effectively carry out Micro Frontends. It may very well be considered as a facilitator for JavaScript modules. SystemJS is at the core of utilizing highlights. For example, import guides and dynamic imports without the requirement for local program support. Besides, admittance to its ‘module library’ assists you with finding out which modules are in the program at a given time. One of its most noteworthy features is the ability to deal with module imports by mapping names to methods, Polyfill for more established applications, and the ability to set up several modules in a single record design using its API to perform single organisation requests for a long period. It is most usually utilized in conjunction with the Single SPA structure, which depends vigorously on import maps and in-program modules. In the Single SPA micro frontend, something like one application is facilitated from a distance. It comprises a root arrangement that aids in downloading the application to the organization and delivering it. To keep away from any mistakes in delivering, you really want an import map in index.ejs design for bringing in React and ReactDOM. Piral: Piral is the go-to instrument for anybody hoping to utilize Micro Frontends to construct entry applications. With the assistance of decoupled modules known as Pilets, it permits you to make a particular frontend application that is extended at runtime. A pilet is grown freely and connects with all vital resources for Micro Frontend advancement, including the code. It is like one of the most easy-to-use structures you can work with. All you really want to get everything rolling are a terminal, web availability, an editorial manager of your decision, and Node.js. Piral is equipped for handling the total advancement lifecycle by parting it into equal parts. You regularly begin with the application shell, starting from the layout, right to investigating, building, and distributing. Then, at that point, continue on the singular modules, (Pilets), dealing with the framework before investigating, building, and

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Decoding Top 5 Types Of Fintech Applications

Today we are experiencing a powerful transforming time where technology is dominating in every sector. be it pharma or financial services, technology is everywhere. No other would have been better than knowing more about fintech applications.   To sensitise our readers of a novel domain of financial technology or fintech, that has been creating waves in the financial sector for at least 5 years now. We kick off this series with a composition on ‘5 essential Fintech app types that you need to know. Happy reading! What is Fintech? As per open-source definitions, Financial technology or Fintech is the technology and innovation that aims to compete with traditional financial methods in the delivery of financial services. It is an emerging industry that uses technology to improve activities in finance. The top 4 categories of fintech There are four broad categories of users for fintech: B2B for banks Their business clients B2C for small businesses and Consumers Technologies used for fintech applications Fintech companies use a variety of technologies, including artificial intelligence (AI), big data, robotic process automation (RPA), and blockchain. AI algorithms can provide insight into customer spending habits, allowing financial institutions to better understand their clients. Chatbots are another AI-driven tool that banks are starting to use to help with customer service. Big data can predict client investments and market changes in order to create new strategies and portfolios, analyze customer spending habits, improve fraud detection, and create marketing strategies. Robotic Process Automation is an artificial intelligence technology that focuses on automating specific repetitive tasks. RPA helps to process financial information such as accounts payable and receivable more efficiently than the manual process and often more accurately. Blockchain is an emerging technology in finance that has driven significant investment from many companies. The decentralized nature of blockchain can eliminate the need for a third party to execute transactions. What are the different types of fintech? There are various types of fintech companies that exist today, which are mostly categorized based on the industry their clients belong to, which include: Lending Payments International Money Transfers Personal Finance Equity Financing Consumer Banking Insurance Ant Financial What are the different types of fintech apps that exist? There are various software applications of Fintech that exists: Crowdfunding Platforms. Crowdfunding platforms like Kickstarter, GoFundMe, and Patreon are the result of developments in fintech Mobile Payments. Mobile payment applications and gateways are some of the most prevalent uses of fintech and act as wallets for both normal currency and cryptocurrency Robo-Advisors Insuretech Regtech Cryptocurrency exchange However, we can broadly classify them into 5 types of fintech apps: Digital Payments Digital payments refer to making payments in a cashless manner, quickly and safely. Fintech apps with online payment systems, e-wallets and digital currencies facilitate digital payments.  Digital payments tend to be one of the most prominent branches of the fintech industry. Statista estimates that global digital payments’ value will reach USD 6,685,102 Million by 2021.  Digital Banking Banks develop fintech apps for their clients as digital banking has become a very convenient way for their users to manage their bank accounts and for bank officials to manage their clients’ data.  Digital banking fintech apps help users manage their bank accounts online without visiting banks at every minor inconvenience. Digital Lending Digital lending fintech apps include loan apps and lending software that facilitate conversations and settlements between lenders and borrowers. Financial institutions like banks and individual lenders use fintech apps to simplify loan procedures and manage them efficiently. Digital Investment Digital investment fintech apps allow investors to research and invest in different financial assets and stock markets. Such apps supply relevant and insightful data to users to make informed decisions about their investment plans and act as a platform to facilitate investments.  Consumer Finance Consumer finance fintech apps help their users in personal finance management. Such apps provide relevant tools and features to users to manage their expenses well, plan budgets and indulge in thoughtful spending. Now that you know about the different kinds of fintech apps let’s look at the various innovative trends to build a fintech app.

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Indus Net Technologies (INT.) Recognized as a Top eCommerce Development Company in the USA by Selected Firms

We’re excited to declare that a leading B2B research and ranking portal Selected Firms has included Indus Net Technologies (INT.) in the report of top US-based eCommerce development companies. INT has been featured in the list on the basis of our extensive eCommerce development expertise, our client retention ratio, efficiency in delivering custom-tailored solutions in competitive budgets, etc. Why INT.? INT, a leading web and mobile app development company that was established in 1997 in India by software geek Mr. Abhishek Rungta, has now expanded its geographical reach in the USA, UK and Singapore. We at INT strive to help our client’s businesses quickly meet standards, scalability, and proficiency expectations in web and mobile-based products. INT offers a variety of designing and development services in e-commerce technologies like Magento 1 &2, Prestashop, nopcommerce, shopify, Volusion and many others. In addition to this, we are also specialized in growing a successful business through art-of-the-state digital transformation across various industry domains such as Fintech, logistics, real estate, finance, Media and Entertainment, e-commerce, and education industries. From startups to large-scale enterprises and fortune 500 companies, INT has provided only the best software solutions to its clients. Our portfolio is a testimony of our hard-earned reputation in the Software industry. In 20  years of entering the IT market, we have successfully catered to hundreds of clients across the world including some premium clients like Axis Bank, LG, Tesco Bank and Honeywell. About Selected Firms: Selected Firms is a B2B research and ranking platform for IT firms that carry out extensive market research and analyzes software companies across various countries and cities to index Top Development Companies into their reports. The report comprises the most experienced and reliable development companies with strong technical expertise in delivering software development services. Our hard work, decade-old experience, and unfailing business approach have gained us recognition on Selected Firms and we are very proud of it.

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