Cognitive Ergonomics in FinTech. Before we start getting confused around the title here; allow me to clarify. I am attempting to scan FinTech of 2018 and beyond. 2018 is the year which has too much packed for FinTech and AI. The growth of Fintech is largely made possible by the relative age of the current banking system across the globe. In short, FinTech is merging with IOT, AI, and AI’s subfields to keep its challenge alive for banks.


AI in FinTech – FinTech Intelligence

FinTech intelligence or FinTech with new flavours like AI and its commandos i.e ML, DL, ANN etc are not new by now. This new flavour of FinTech is working like magic. Giving it bluer oceans by focusing on new markets where conditions are somewhat favourable. Beyond the year 2018, FinTech powered with new electricity of corporate world i.e Artificial Intelligence will dominate this space.


It is easier for people to use mobile payments and web-based financial services since phones are more pervasive and convenient to access than traditional financial instruments

AI is radically transforming the digital economy through FinTech. How it’s doing that we will answer below by taking help through “Cognitive Ergonomics”. Financial engineers are combining data from mobile phones, social networks, and almost from every step, we take in real life to transform FinTech into new industries. We are assuming AI more human then it is. Areas like CyberSecurity (biggest ticket item for the year 2018) which we will talk in next blog post though.


Cognitive Ergonomics Environment

AI is now integral, critical and most important component to our personal devices, applications, and for transport system i.e self-driving cars. User experience is now more focused on the extreme high analytical framework. In case of payments or FinTech this gets focused on where user spend, how much user spend, when user spend etc.  Cognitive technologies, such as artificial intelligence and machine learning are already into our financial planning and investing experience too much.

Cognitive Ergonomics is becoming an important field for data scientists to understand and implement.


There is very strong proof from the past on how this is related to cognitive ergonomics. The fake tweet came out in midday on April 23rd, 2013, from official associated press twitter account. The tweet was related to some fake news about the attack on the white house. The target was never the president or the White House. The target was the financial markets.

In less than a split-split-second, the state-of-the-art computers running state-of-the-art high-frequency trading algorithms picked out the keywords from a trusted source and went into overdrive, reacting to what they perceived as a confirmed terrorist attack that never actually happened. The cost to the market? was $136 billion in around three minutes. No human being could orchestrate an attack of this magnitude.


Cognitive  & AI Influence on FinTech

Building a 720-degree customer experience which is the primary target for FinTech is not feasible without Cognitive touch in your FinTech services. The 360-degree experience looks no good reason to remain in blue ocean domain of the business world. Giving environment and surrounding on your Fintech services without customer ask looks much better Idea.

Understanding context in written words was the biggest break through of AI in this direction. Now implementing and using the same in FinTech is the next challenge.

When you are on the google search engine; Google knows what are you looking for as soon as you type the first character on the page (80-90% accurate to predict). How about telling your customer his last 5 related transactions as soon as the customer is at a location and in the middle of initiating payment. The payment customer trying to make for and the historical information combined can create some sort of cognitive environment with recommendation will provide 720-degree view and experience.


One View – AI, ML, Blockchain & FinTech

To put all of them in the picture is not an easy job though. We don’t have any successful model which has all these niche technologies in the photo frame. Lots of banks and FinTech are working to bring this amazing product which is fully functional and working into life.

Banking as a Service – BaaS – This is need of time. This will have the security of blockchain, the intelligence of machines and algorithm and eyes of AI. To draw the rough sketch just to give one view it might look like as below.

DeepLearning methods (especially recurrent neural networks) are helping time-series data processing and prediction for financial markets. Generative adversarial neural networks are becoming vital in fraud detection. These techniques for traditional feature extraction via intelligent trading decisions. are supporting the FinTech system. The used techniques are applied to several technical indicators and expert rules to extract numerical features. Algorithmic trading framework with the use of deep convolutional neural networks is good to start for FinTech


Points to Note:

All credits if any remains on the original contributor only. We have covered all basics around myth on mobile payments, its models and the importance of quality services. In the next upcoming post will talk about implementation, usage and practice experience for markets.


Books + Other readings Referred

  • Research through open internet, news portals, white papers and imparted knowledge via live conferences & lectures.
  • Lab and hands-on experience of  @AILabPage (Self-taught learners group) members.


Feedback & Further Question

Do you have any questions about AI, Machine Learning, Telecom billing/charging, Data Science or Big Data Analytics? Leave a question in a comment section or ask via email. Will try best to answer it.


Cognitive Ergonomics

ConclusionTo achieve the goals for a cognitive system which must be able to select, coordinate information processing subsystems, locations in perceptual fields and categories in memory. This won’t be impossible in 2018 onward. The year 2018 and onwards i.e. the far we will go into future the cognitive and super fascinating our experience will become through applications and devices we will use. AI will allow us to delve into each customer’s interaction sequences, needs, and level of influence within their social network. Along with their current life events to figure out their current needs and how to serve them better. This learning will come out immediately to provide the best experience and force customers to live under guidance.


#MachineLearning #DeepLearning #ArtificialIntelligence #ArtificialNeuralNetworks

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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.


  1. Peterson Jojo March 21, 2018 at 10:39

    Marvellous post …. please explain more on Cognitive Egronomics AI



  2. Good but could have been more derailed



  3. […] between them and the sample variance of each cluster. The best use for unsupervised is around exploratory analytics to understand the financial, business and operational drivers behind what […]



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