Intuitive Guide To FinTech – If you have not heard about term “FinTech”; most likely you don’t belong to this world but it’s ok. In this post will talk about

  • FinTech from beginner to advance level and FinTech Intelligence at a high level.
  • Why it is important for all entrepreneurs to know about and understand this jargon?


Demystifying FinTech Jargons & History

AILabPage defines FinTech as “Technology applied to automate, make it smart (with the best analytics, AI and ML), a speed-up and secure financial system with its own standards chiefly used by financial institutions“. The financial institution here can be Banks, FinTechs or Mobile Financial Services, providers.

‘FinTech’ is a term arguably coined in the mid-1980s. If you look at history it has relations since 1800 century. Between 1856-1966 finance and technology came together as a result first analog financial technology was produced. Thereafter first trans-Atlantic cable.  For the first two decades of use, perception is FinTech was primarily employed to describe “Back-end” banking technologies. It was assumed as tightly linked  & coupled to back-office operations.

The Ultimate Intuitive Guide To FinTech Intelligence

AILabPage – FinTech Series – The Journey of FinTech

In early 2000 the first digital bank was seen as almost all financial services institutions participated in this game. Global financial crises of 2008 gave tremendous challenges to the traditional method of Banking i.e only via bank thus independent FinTech startups got into the picture. 2014 was the year of every day new FinTech startup. This is when we saw almost every big player, especially from a non-financial services background, jumped into the FinTech market. All Payments and transactions went mobile.


FinTech Evolution

Companies coming in the FinTech domain are startups founded with the purpose of disrupting incumbent financial systems and corporations that rely less on software but more on Banking as a Platform(Baap) and Banking as a Service(BaaS).

The Ultimate Intuitive Guide To FinTech Intelligence

AILabPage’s FinTech Series – FinTech Evolution

Artificial Intelligence and Machine Learning in Finance, Regulation, and Central Banking need to be taken and adapted as a basic need. Sadly to date most machine learning algorithms today cannot offer to reason. At the same time, all of them predict assuming past will be repeated if all other factors in the business environment will remain constant.


Financial Systems Transformation into FinTech Intelligence

Blockchain joined late in FinTech as a trusted digital friend and got permanent relationship here. It’s still early after the rebirth of FinTech in 2014 to say how startups and non-financial services institutions can leverage blockchain, AI as a part of FinTech solutions. This is to make sure their adoption does not come at the cost of societal growth. It might not a revolution at the end but just an inflated balloon.

The Ultimate Intuitive Guide To FinTech Intelligence

AILabPage’s FinTech Series – FinTech Intelligence

Looking at the current growth and trends of FinTech, one needs to admit its contribution to the global revolution. FinTech’s new joiners i.e blockchain and AI in the financial services industry will bring extensive transformation in the coming years.


FinTech Ethics and Risks

It’s really important to talk, understand and underwrite the pros & cons of emerging technologies. It’s not impossible to track someone’s every single penny movement and then use or sell that information for other use cases for the benefits of others. There is no doubt FinTech can improve the lives of people around the world.

The risk of those same technologies can also be used to control people. It is proper and necessary to consider the implications and understand what comes along with the introduction of these technologies like AI, ML, FinTech, and Blockchain. Regulation is necessary to know & carry out so that these technologies & tools are utilised properly, regulated sufficiently, and their adoption does not come at the cost of societal growth.


Trends & Opportunities – FinTech

FinTech in this era is not what it used to be. FinTech is changing and it will bring too many changes in the next 5 years that will shape the future of FinTech further. Banks since early 2017 got an indisputable interest in blockchain & Artificial Intelligence technology. Those banks who adopted and making use now falls in challenger banks group based on their capabilities and digital offerings.

The biggest hurdle for any startup today is fund-raising so a lot of FinTech came up with an innovative idea and process to support the same. The biggest tweak or process bypass idea is ICO which is now used by start-ups to bypass the rigorous and regulated capital-raising processes.


How FinTech has Transformed Consumers

The outlook for FinTech benefits has trickled down to consumers through faster, more transparent and secure products & services. The future of FinTech services is bright and demanding. Siri is able to do financial transactions just on voice command. To use such development and business applications that use embedded AI and other emerging technologies has a clear transformation agenda.

When banking started around 10,000 years technology was almost non-existent. But since then technology has embraced itself to keep pace with the ever-changing world. Technological advances continued and kept its challenge traditional banking on toes.

Automated teller machines (ATMs) launch in the 1960s was another breakthrough for consumer experience transformation. ATMs got evolved from just cash dispensers to fully banking service counter before reaching its pinnacle and finally started disappearing after the internet and mobile got introduced to consumers.

Mobile Banking and now mostly mobile app banking did the full transformation of customer experience i.e transact anywhere, any time from anywhere.


The Rise of Wallets and Lifestyle Apps

Mobile as a primary communication or operating method is now is 10-year-old already. This advancement has helped the customer to change their lifestyle in a better way. FinTech is one of the top gainer around this advancement and made an indisputable change of thought process. Mobile now with financial app and other social media app functionality has become a must not a plus in the eyes of customers. The mobile channel also brought inclusion change in a big way.


Emerging Technologies For FinTech

A succession of FinTech as a new user-oriented service that combines finance, IT and consumers needs;  led the biggest disruption in recent times. Some of the actors behind the scene acting as an enabler for creating innovation are as below

  • Blockchain – Also known as “The Digitisation of Trust“. The rationale of blockchain in FinTech is to uncover the limitations and opportunities. The blockchain is also known as a core technology in FinTech of today.
    • Distributed Ledger – A database that is consensually shared and synchronised across different institutions or geographies networks.  This is done to make the cyber attack more difficult. The blockchain is one type of distributed ledger.
    • Hyper LedgerA multi-project open source collaborative effort hosted by The Linux Foundation. This technology is an emerging platform with applications and enabled by blockchain. This is created to advance cross-industry blockchain technologies.
  • Cryptocurrencies – The original design of blockchain was focused on the cryptocurrency “Bitcoin”.
    • ICO – Lot of ICO’s pop up in recent times. Though blockchain is not bitcoin but its an underline technology. Biggest successful use case under FinTech with crypto is “Cross Border Remittances”
  • Automating The Automation – AI got prominence after huge computing power made available in recent times. Almost every tech company got into AI and its sub-technologies. Either claimed or actually started putting AI ability to their existing products; hence I call it as automating the automation.
    • AI-based Chatbots – Chatbots with AI got attention especially in the banking industry. The first idea was to cut cost.
  • Security & Compliance – AI & Blockchain made a revolutionary change in FinTech in the area of info-security & compliance. Below are a few examples where it has made a greater impact.
    • Cybersecurity
    • Identity security
    • InfoSecurity
    • Threat hunting
    • Security Intelligence
    • RegTech


Case Study – WeChat

WeChat is a classic example of a beautiful transformation from messaging application to a profitable ecosystem. It’s like a “Swiss army knife” application. This transformation is an excellent example of master flagship works peace in FinTech history. This has been a major source of disruption so far where the blending of so many ideas working together as a complement to each other.

There is no push service on WeChat with a subscription account. Users are allowed to send one message to followers every week. Followers will get an alert via a push service though. The key differentiators that have led WeChat’s dominance are highlighted below. This app host many micro apps/services for external partners. These features positioned the product as best in China and in the top category in the world.

  • Messaging: Instant messaging over a mobile data network with group messaging like whats app
  • Social media: The Superintelligent blend of twitter, facebook, and other social media platforms allow users to share stories, follow influencers and companies and share pictures/videos/links/etc. Also making audio and video calls over the internet
  • Mobile payments: Mobile wallet or e-wallet payments for P2P, utility and merchant payment transactions.
  • File Share: This is another biggest use case for any user especially among youth. This is for sharing music, files, documents, contacts, etc.
  • App Aggregations: “Mini Programs,” mini-apps allow users to directly install & run applications smaller than 10 megabytes can run instantly on WeChat’s interface. With the mini-program push, it aims at Apple and Google app stores. Excellent & Superb example of re-engineering work.
The Ultimate Intuitive Guide To FinTech Intelligence

AILabPage – FinTech Series – Journey of WeChat FinTech

Despite all the positives it also has its own challenges and issues. Below are few issues and challenges WeChat faces as on date but off-course solutions are at hand.

  • Messy App: Too many features could eventually drag down the user experience because of the huge computing and memory hungry application.
  • Saturation: The penetration of this app has reached its pinnacle in China. The next growth has to be international. This has to grow outside the country China.


Books Referred & Other material referred


Points to Note:

All credits if any remains on the original contributor only. Our last post was on Convolutional Neural Networks. In the next post, we will talk about Artificial Neural Networks in detail.


Feedback & Further Question

Do you have any questions about Deep Learning or Machine Learning? Leave a comment or ask your question via email. Will try my best to answer it.


SECaaS - Security as a Service Is the Next Big ThingConclusion- This post was an attempt to explain FinTech from beginners to advanced level at a high level. FinTech brought a mandate to digital-savvy institutions to raise the service quality bar to attract and retain customers. We saw in this post that essentially, digitisation took banks from just being product providers to the service offering. Digitisation kept on continuous contextualised services and helping customers to better understand their financial and commercial affairs. We are most likely to see the future as a win-win with a relationship between FinTech as a partner for the banking industry with new products and shareholders. This would happen through higher returns on capital, regulators and leaner, simpler and more efficient operations. Smart customers make smart decisions.


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Posted by V Sharma

Technology specialist in Financial Technology(FinTech), Photography, Artificial Intelligence. Mobile Financial Services (Cross Border Remittances, Mobile Money, Mobile Banking, Mobile Payments), Data Science, IT Service Management, Machine Learning, Neural Networks and Deep Learning techniques. Mobile Data and Billing & Prepaid Charging Services (IN, OCS & CVBS) with over 15 years experience. Led start ups & new business units successfully at local and international levels with Hands-on Engineering & Business Strategy.

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