18 Matching Annotations
  1. Oct 2024
    1. Utilizing languages for coding and development like Python, Java, C++, and JavaScript, one writes clear, effective code. Developing algorithms for automated trading systems, fraud detection, and risk assessment is known as algorithm development. When integrating payment gateways, financial data providers, and authentication services, among other third-party APIs, functionality is improved. Implementing cybersecurity systems in place to ensure safety against breaches of private data of the business. To ensure that these applications adhere to the industry's best practices and follow legal requirements like AMC/KYC and GDPR. To provide regular updates and timely maintenance with thorough testing procedures to quality top-notch software functionality and dependability.

      Nice One Author Highlights main Key responsibilities

  2. Nov 2023
    1. Staff augmentation for P2P investment platform

      Expore how software development company (Globaldev) helped a FinTech company that operates a P2P investment platform to build several R&D teams to support the company’s requirements and growth plans.

    1. Loan processing system with a custom admin panel

      Automation, security and performance improvements have always been markers of progress among financial institutions.

      To grow and to innovate in this field you need a reliable financial software development company. With our deep domain knowledge and strong technical base we will develop and implement advanced software solutions tailored for your business. Get more information about loan processing system with a custom admin panel.

  3. Nov 2022
  4. Sep 2021
    1. How to Create NFT MarketPlace?

      Owing to the worldwide requirement of the current Digital world, the NFT aspirants are actively looking for an efficient NFT Marketplace to showcase their collectibles. Statistics have defined that OpenSea and Rarible are bound to offer enhanced performance than most other NFT marketplaces. If you are an active entrepreneur or investor looking to launch your own NFT Marketplace Platform? You are in the right place!

      The NFT marketplace can be built in two significant ways.

      White Label NFT marketplace

      Build NFT marketplace from Scratch.

      White Label NFT Marketplace

      White Label NFT MarketPlace solutions are pre-built ones. It can be customized based on the client's requirements. It is more beneficial for the people who want to start an NFT with less capital investment. Development costs and the time to Create NFT Marketplace by opting for White Label NFT MarketPlace Software solutions are minimal.

      Building an NFT Marketplace from Scratch

      Building NFT MarketPlace from Scratch involves some basic steps like Blockchain selection, Finalizing features & functionalities, Developing Smart Contracts, UI Creations, Smart Contract Auditing & Bug fixing, Testnet deployment, release beta version or mainnet release. These NFT platforms are built based on the client's requirements. It is fully customized and we can integrate any unique features on it.

      Create NFT MarketPlace on your desired Blockchain network

      There are so many NFT Marketplace solution providers present in the crypto market. So tie up with the trustworthy NFT MarketPlace Development Company and check out the live demo of their white label nft marketplace and then create your own NFT marketplace on the desired blockchain network such as Ethereum, Binance Smart Chain, and TRON as per your wish.

  5. Aug 2021
  6. May 2021
    1. Fintech is transforming the way financial businesses operate, the way they cooperate and negotiate with their clients, regulators, and other industry players.  Almost all types of businesses use fintech, from start-ups and growth companies to established and reputable mastodons. In recent years, many new directions have appeared in fintech that rely on advanced technologies created specifically for certain sectors or functions in the financial ecosystem. 
  7. Dec 2020
    1. Notable that much of this section is taken directly from https://www.sec.gov/oiea/investor-alerts-bulletins/ib_crowdfunding-.html

    2. there is a substantial risk that the price of securities purchased on Republic may exceed their value and any amount for which they may eventually be resold. Furthermore, securities sold on Republic may provide investors with inferior terms than similar securities provided by a company in other offerings.

      So how would one know that the piece of the company they get from any investment on Republic is market price? If it can't be resold AND other offerings might get better terms (more company/dollar? but other offerings aren't visible) there's really no way to form an expectation of what you'd get as a return. A company you invested in could be wildly successful but you'd still get potentially nothing.

      It may be that some of this information is disclosed at the point of investment.

    1. Republic collects from the startup 6% of the total amount raised and 2% of the securities offered in a successful financing.

      Why would a company use Republic if they could get traditional VC financing? Are the terms worse? Is adverse selection an issue for investing in companies that raise through Republic?

    1. You should use this information to determine whether a particular investment is appropriate for you.

      What we really want to know is how much equity we get per dollar and if we invest $X and the company gets acquired or IPOs for $Y, how much our investment will yield.

  8. Apr 2020
    1. Great strategic investments + avoiding taxes + stiffing supplies with a longer payment cycle = cheaper capital + huge and growing FCF

      Free cash flow (yellow line) is a bit like profit, except it doesn’t assume that Amazon has to pay for everything in the same time frame it sells it. And thanks to how Amazon’s payment cycle works, it usually gets money for selling an item long before it has to pay for that item. Last quarter, for example, it took Walmart on average two days to receive payment for goods after it paid its suppliers, while Amazon on average received payment 20 days before it paid its suppliers, according to cash conversion cycle data from the financial research platform Sentieo.

      Amazon keeps profit and free cash flows artificially low by investing money right back into its business in the form of capital expenses, like building data centers, upgrading distribution networks, and creating wind and solar farms. It can do so without having to borrow money, which means it won’t incur interest costs.

    1. An amazing read/insight into how Ping An, the world's #1 insurer is using big data to reduce costs (>$750M/y) and save customers time (62% of claims handled automatically)

      In 2017, Ping An, China’s second-largest insurer and its biggest non-state-owned company by revenue, rolled out a “Superfast Onsite Investigation” system—enabling policyholders to submit claims by simply opening a smartphone app and answering a few questions. But the app’s niftiest feature offers the option to not even wait for an inspector. Instead, customers can snap photos of a damaged vehicle and send them to a Ping An computer, which can respond with a repair estimate in three minutes or less. If the customer accepts the estimate, then wancheng! (“Done!”) Ping An can transfer funds immediately. Last year, Ping An’s customers used this feature to settle 7.3 million claims, or 62% of the total. The service saves the company more than $750 million each year by reducing bogus claims and human error. But its simplicity belies the extraordinary sophistication of the artificial intelligence and data-processing operations that make it possible. To generate accurate estimates, Ping An matches photos of vehicle damage against a database of 25 million parts used in the 60,000 different auto makes and models sold in China. The system assesses whether those parts can be repaired or must be replaced, then calculates the cost of parts and labor in more than 140,000 garages. Ping An integrates all that information with face-, voice- and image-recognition tech and a complex matrix of anti-fraud rules. Ping An chief scientist Xiao Jing says it took a team of A.I. experts, data scientists, and insurance managers three years to design, develop, and integrate the new service. It is, he exults, “the only one of its kind in the world.”

      These products and services have a vital feature in common: They match online data, generated by China’s digitally native consumer masses, with a vast storehouse of “offline” data and insight amassed over three decades in the insurance business.

      Ping An’s leadership foresees the day when the company’s technology businesses contribute as much as half of its earnings, up from only 6% today, and compete head-to-head with pure technology plays like Alibaba Group and Tencent Holdings.

      Ping An earmarks 1% of revenue for investments in innovation. Over the past 10 years, the group has plowed more than $7 billion into research and development, and Ma has vowed to invest $15 billion more in the decade to come. That endowment has nurtured 11 technology affiliates, of which two—Good Doctor and Auto­home, a platform for car buyers—are publicly traded and three are privately held “unicorns” with multibillion-dollar valuations For now, only two of those five are profitable. Even so, the combined value of the group’s tech ventures tops $70 billion. (See the “Star Pupils” sidebar.)

      Schulte estimates that the BAT (China’s troika of Baidu, Alibaba, and Tencent) processes at least 10 times as much data every day as Ping An has acquired in its entire existence. But Ping An executives argue that quality matters more than quantity. The data its businesses collect is richer than that gleaned by the BAT, they claim, because it involves big-ticket transactions relating to health, wealth, and property—among the most meaningful decisions in customers’ lives.

  9. Jul 2018