Articles

Steady growth in the FinTech industry has taken place in the past decade. It is revising the lines in financial services. 2021 has witnessed significant innovation like never before. FinTech companies made a 96% increase in global funding and are turning out to be the « Decacorns. » The rise of FinTech as a Service (FaaS) platforms fueled the expansion of digital banks and the rapid adoption of biometric technology in onboarding. Further paradigms, such as embedded finance and autonomous finance, are emerging components of the sector, and 2022 is expected to see significant maturity.

The question that often turns up is: « What is the future of FinTech in 2022? » The prime predictions will be detailed in the sections below. 

Source de l’article sur DZONE

Data is a piece or a large amount of information stored electronically. With so much information stored in different folders, this separation of data makes data storage inconsistent and tedious to access, edit, or replace.

That’s exactly where servers or databases come into the picture. With complex data and numbers pouring in on a daily basis, having a strong database or servers is crucial to managing it. A database is nothing but a collection of information in a structured way to allow for prompt readability, access, and editing. It is the center of the flow of data, as data flows from the database to other parts of the system.

Source de l’article sur DZONE

I’ve just been appointed the CTO of a small company with less than 10 employees. Companies of this size typically don’t have the luxury of hiring a professional Project Manager, hence the role almost automatically goes to the CEO of the company, since he is the product owner – Which creates a problem for me, summarised in the ingress of this article. But as the CTO, I’m also responsible for all IT choices, including infrastructure choices, so let me go through all of my choices below – Since these have consequences for the process we must follow.

Cloudless first

Cloud systems such as Azure or AWS are amazing products, with a feature list covering everything you can imagine. However, they’re also ridiculously expensive, typically at least 10x as expensive as a simple VPS providing the same value from an application deployment point of view. At my last company we paid €5,000 per month for Azure, and probably something similar for our AWS account (Sigh, yes, we used both! Not my decision though!) – Let’s say €8,000 per month to make sure we’re within the boundaries and that I am not exaggerating. I told my developers back at that company that I could have ran the whole company on a handful of VPS servers from DigitalOcean paying no more than €200 per month in total. Nobody believed me until our CTO confirmed my numbers more or less by saying; « At my former company we ran a 300,000 EUROs daily profit FinTech company for some 200 EUROs worth of droplets from DigitalOcean. »

Source de l’article sur DZONE

In the last decade, the finance industry has seen an infusion of cutting-edge technologies like never before. This transformation is largely attributed to many startups that appeared on the scene post 2008 recession and followed a technology-first approach to create financial products and services with a target to improve customer experience. FinTech, as these startups are known, have been the early adopters of the new technologies like Smartphones, Big Data, Machine Learning (ML), Blockchain and were considered the trendsetters that were later followed by more traditional banks and financial institutes.

The recent advancements in machine learning and deep learning has really pushed the boundaries of computer vision and natural language processing. FinTechs are leaving no stones unturned to capitalize on these breakthroughs to improve financial services. As per a report, the ML Fintech market was valued at $7.27 billion in 2019 and it is expected to grow to $35.40 billion by 2025. Statista forecasts that the entire banking industry overall will be able to derive the business value of  $182 billion globally with machine learning by the year 2025.

Source de l’article sur DZONE

BitCoin is basically a digital ledger system, allowing for keeping transactions based upon cryptographic signatures in a decentralised database, ensuring the transaction was initiated by the person owning the private key. From a philosophical point of view, it’s simply authentication and authorisation based upon a private asymmetric key, period! What if I told you the same idea could easily be transferred to code in general. As in, keeping a ledger of invocations towards some HTTP endpoint, where the client decides what code the server should execute? The obvious example can be found below.

Plain Text

 

x
1

transfer.money

2

   to-account:1234567890

You’d have to be pretty stupid to not see the use case for the above snippet, especially considering it’s arguably (probably) the foundation of Revolut, a FinTech company, threatening to driver every single European bank out of business these days.

Source de l’article sur DZONE

Every week users submit a lot of interesting stuff on our sister site Webdesigner News, highlighting great content from around the web that can be of interest to web designers.

The best way to keep track of all the great stories and news being posted is simply to check out the Webdesigner News site, however, in case you missed some here’s a quick and useful compilation of the most popular designer news that we curated from the past week.

34 Impressive Examples of Fullscreen Navigation Menus

 

Radix Icons – An Open Source Crisp Set of 15×15 Icons

 

Nocode – Turn Google Docs into a Website

 

How to Design a Great Dashboard for your UI

 

The Most Futura. Ever.

 

5 Mistakes to Avoid When Designing your Nonprofit Website

 

UCalc – Functional Calcs and Forms

 

AreYouInterested – A Super-Simple Landing Page Builder for Bulk Idea Validation

 

Unlearning to Learn Design

 

Just FYI: Acronyms are Hurting your UX and ROI

 

3 Concrete Steps to Learning a Programming Language

 

MathJax – Beautiful and Accessible Math in all Browsers

 

What is a WordPress Child Theme?

 

How to Create a UX Writing Portfolio

 

A Step-By-Step Guide to User Experience Research

 

5 Most Common Mistakes in FinTech Design

 

31 Ways to Improve your Web Design Skills

 

Designing the Ada Lovelace Hashflag Emoji

 

Powered by Buttons – An Acquisition Channel Nobody is Talking About

 

Top 10 Tools for Managing Remote Teams Efficiently

 

Email Design Accessibility: Why it is Important to Improve it

 

Why Web Design Client Referrals Aren’t a Slam-Dunk

 

Host Rider: A Game for Learning CSS Flexbox

 

Stanza – Learn Coding Concepts Faster

 

How to Present your Logos to the Client

 

Want more? No problem! Keep track of top design news from around the web with Webdesigner News.

Source


Source de l’article sur Webdesignerdepot


Introduction

According to a 2016 research by Mckinsey, it was revealed that the total annual external investment in AI ranged between $8billion to $12billion in. Statistically, this is a clear sign that AI is making a great impact in the global industries especially the financial sector. In other words, it’s a revolutionary impact in the financial industry can not be underestimated.

Blockchain, on the other hand, has also shown its immense potential in so many industries especially in the finance industry. In fact, it’s digital disruption is greatly impacting how so many businesses operate in our contemporary world. While so many industries are beginning to embrace the amazing options these technologies – Artificial intelligence and Blockchain technology offer – helping them to create more value,  boosting sales, and so on,  it’s interesting to know that the combination of both will positively revolutionize the future of the fintech industry.

Source de l’article sur DZONE

Finance is probably one of the first fields to adopt innovations. These days, IoT, AI, and blockchain are the technologies reshaping multiple industries, especially FinTech. AI solutions attract immense investments and for the right reasons. Analysts have counted that Artificial Intelligence is going to save the industry more than a trillion dollars (!) through the year 2030.

How exactly are financial institutions planning to leverage AI? Is it already a part of the processes? Skelia dug into this issue.


Source de l’article sur DZONE (AI)