Impact of Technology Adoption & Trends in Banking Technology
Principles & Practices of Banking | Module C · Chapter 47
Covers how technology is reshaping banking — from EDI and MIS foundations, through IT's impact on organisation, service quality, HR, and data privacy, to today's emerging technologies: AI, Robotic Process Automation, Chatbots, 5G, Blockchain/DLT, CBDC (e-Rupee pilot December 2022), Virtual & Augmented Reality, Wearables, and India's Digital Lending regulatory framework.
📌 Why This Chapter Matters in JAIIB
Expect 4–6 questions from this chapter. Key exam focus areas: EDI (inter-organisational exchange of structured business docs; EDIFACT = universal standards; banks use SWIFT as EDI); MIS (transforms data into information for management decisions; ADF project by RBI for correct data submission); DSS (flexible, interactive; uses mathematical models and what-if simulations); EASE 5.0(Enhanced Access & Service Excellence; driven by IBA; launched June 2022; focuses on PSBs); AI (machine learning, cognitive analytics, deep learning, speech recognition; used in fraud detection, risk management, wealth management); RPA (software robots automate repetitive tasks; 24×7, zero typos; used in KYC, loan origination); Chatbots (mimic human speech; driven by AI + NLP; examples: Siri, Cortana, Google Now); 5G (millimetre waves; low latency, high capacity, reliability); Blockchain (DLT; distributed ledger; peer-to-peer; immutable; used in smart contracts, invoice checking, asset tracking); CBDC (e-Rupee; digital fiat issued by RBI; pilot launched December 1, 2022; P2P and P2M); Digital Lending (KFS mandatory before loan; APR disclosure; cooling-off period; no passthrough accounts; complaints escalate to RB-IOS after 30 days).
Key Facts & References — Chapter 47 at a Glance
Technology Role, EDI, Corporate Websites & MIS/DSS
FreeData & Message Transferring — EDI and e-mail
Electronic Data Interchange (EDI)
- →Inter-organisational exchange of business documentation processable by computers
- →Standard formatted data exchanged between computer application systems of trading partners
- →Minimal manual intervention — receiver processes without human re-keying
- →Banks use EDI in the form of SWIFT messages
- →EDI is often referred to as Electronic Funds Transfer (EFT)
- →Credit clearing and debit clearing are forms of EDI
- →Credit card networks are another EFT system using EDI standards
EDIFACT — Universal EDI Standard
EDIFACT
Electronic Data Interchange for Administration, Commerce and Transport — the universal set of standards and guidelines for communication by EDI.
EDI Formatting Standards Cover
- →Documents which can be communicated electronically
- →Information to be included in each electronic document
- →Sequence in which the information should follow
- →Meaning of individual pieces of information
Communication Standards (EDI guidelines) address
- →Type of electronic envelope to be used
- →Transmission speed and protocols
- →Time slots acceptable for sending/receiving messages
| Technology | Type of message | Key feature |
|---|---|---|
| Unstructured / free-format | Near-instantaneous; same copy to multiple offices with one command; also used to transmit data files | |
| EDI | Structured / formatted | Processed by computer without human interpretation; standard formats readable by receiver's system |
Corporate Websites — 6 Uses
1. Dissemination of information
Financial statements highlights, account products, loan products, card products descriptions
2. Financial advice
Interactive, general financial advice for customers
3. Highlighting non-banking activities
Charitable endeavours, community aid, sponsored events
4. A node for commerce
Virtual shopping malls — e.g. Barclaycard (largest Visa issuer in UK) runs such a site
5. Selling financial products
Online application forms for credit cards etc.; financial products sold online
6. Account services
Internet banking — balance enquiry, transfers between accounts, bill payments; replaces branch services
MIS, DSS & Automated Data Flow (ADF)
MIS — Management Information Systems
- •Transforms data into meaningful information for managerial decisions
- •Key element: timeliness — information must be current
- •Advantages: consistent data, reduced redundancy, fast/accurate processing
- •Helps marketing & product development decisions
- •Analyses customer demographics, spending habits, savings patterns
DSS — Decision Support Systems
- •Easy to use, flexible and interactive computer-based systems
- •Supports decision making under various conditions
- •Uses complex mathematical models
- •What-if simulations to pre-test potential outcomes
- •Provides: query languages, ad hoc reports, statistical analysers, graphics
- •Used for: investment decisions, pricing products & services
ADF — Automated Data Flow
- •RBI project for quality data from banks
- •Ensures submission of correct & consistent data from banks to RBI
- •Without any manual intervention
- •Addresses the critical need for accurate regulatory reporting
Impact of IT on Banks — Organisation, Service Quality, HR & Data Privacy
FreeOrganisational Structure
- →Faster information needed → reduces hierarchical tiers; direct liaison between top management and implementation
- →Decision-makers vested with greater powers; several traditional jobs become irrelevant; new jobs emerge
- →IT engineering change in management orientation; top executives view IT as functional requirement
- →Greater involvement of information systems in mainstream banking product offerings
- →Operating procedures adapt to IT needs without sacrificing privacy and security
Service Quality
- →Small/new banks compete with established banks by starting with digitalised products — level playing field for pricing
- →Technology commoditises some financial services; banks must develop online delivery strategies to retain loyalty
- →Depersonalisation: online services reduce personal interaction — human interface is vital in any service industry
- →IT democratises information — corporate customers access same real-time information banks once controlled → increased competition
- →Non-banking financial institutions leveraging technology compete with conventional banks
- →EASE 5.0 (IBA, June 2022): PSBs leverage new-age capabilities; prioritises digital customer experience + inclusive banking (small businesses & agriculture)
Impact on Human Resources
Role Transition
- →Job profiles and role definitions undergo complete transformation
- →Decision making power shifts to point of information → visible change in responsibility structure
- →Need for technically literate and managerially competent persons
Specialised Positions Recruited
Data Privacy & Confidentiality
Data privacy has two dimensions: authority to access data and authority to use data for specified purposes only.
Privacy Principles (common across privacy laws)
- →Individuals can discover existence of automated personal data systems about them
- →Data obtained fairly for a specific lawful purpose only
- →Data must be accurate, up-to-date, kept no longer than necessary
- →Collection of racial origin, political philosophy, religious views, sex life details — prohibited
- →Special security measures beyond normal computer security for personal data
- →Data used only for specific purpose; disclosed only per specific purpose
💡 Bank security measures for data privacy
Data Encryption, Data Checksum, Data Leakage Prevention (DLP), Database Monitoring, Privileged User Monitoring.
Emerging Technologies — AI, RPA, Chatbots & 5G
Artificial Intelligence (AI)
AI emphasises creation of intelligent machines and software that work and react like humans. Banks use AI for personalised, contextual, predictive services.
Focused Areas
Banking Applications
- →Fraud prevention
- →Risk management
- →Wealth management
- →Voice recognition (customer service)
- →Predictive analysis
- →AI-driven banking mobile apps — personal + contextual + predictive
- →Re-engineering back-office processes
Robotic Process Automation (RPA)
RPA automates routine, repetitive, mundane tasks using software robots so employees can focus on complex banking operations requiring human judgment.
Key Advantages
Banking Use Cases
- →KYC processes
- →Customer onboarding
- →Loan origination
- →Reading mails & sending routine replies
- →IT management automation
- →Transaction processing
⚠️ MCQ answer — RPA best description
The statement that best describes RPA: "RPA is aimed at automating business processes" (option c). Not "rapid application development" and not "guided by RBI cybersecurity guidelines."
Chatbots
Chatbots are software applications that mimic written or spoken human speech for the purpose of service delivery — as standalone apps or on websites.
- →Driven by: AI + voice recognition + Natural Language Processing (NLP)
- →Examples: Google Now, Apple Siri, Microsoft Cortana
- →Conversational agents — becoming increasingly sophisticated
- →Challenges: metaphors, similes, inherent complexities in human speech
💡 MCQ answer — Chatbot capability
Chatbots can mimic speech for simulating interaction with humans (option a). They are NOT used for data mining or DDoS attacks.
5G Networks
5G is characterised by low latency, high data capacity, and reliability. It uses millimetre waves and falls back to 4G LTE where 5G is unavailable.
5G Banking Applications
⚠️ MCQ answer — 5G wave type
5G network uses millimetre waves (option d — NOT microwaves, NOT nanowaves). Combining 5G with edge computing and software-defined networking gives businesses flexibility to customise networks.
Blockchain, Digital/Crypto Currency, CBDC, VR/AR & Wearables
Blockchain Technology
Blockchain links and sequences transactions using cryptography. It is distributed across a peer-to-peer network with redundancies and consensus mechanisms — no single party can alter it. Also known as Distributed Ledger Technology (DLT).
Core Characteristics
- →Distributed across peer-to-peer network
- →Redundancies ensure no single point of failure
- →Consensus mechanisms — trust established with the network, not one-to-one
- →Immutable — transactions cannot be altered once recorded
- →Shared by all participants with shared control (DLT)
- →Point-to-point network for extremely secure transactions
- →Provides irrefutable information in real-time from any point
Use Cases in Banking
Benefits for Banks
- →Fraud prevention
- →Increased IT infrastructure resilience
- →Greater transparency of processes
⚠️ MCQ — Blockchain = Distributed Ledger Technology
Which technology is associated with DLT? Answer: Blockchain (option a). 5G, ATMs, and RPA are NOT DLT-based. Also: Blockchain is used in Cryptocurrency (option a) — NOT physical currency, NACH, or CTS.
Digital Currency / Cryptocurrency & CBDC
Digital Currency
- •Available in digital form (not banknotes/coins)
- •Types: virtual currencies, cryptocurrencies, CBDC
- •Can buy physical goods and services
- •May be centralised (central control) OR decentralised
- •Stored in stored-value card or other device
- •Network money = electronic money transferable over internet
Cryptocurrency
- •Uses Blockchain + decentralised ledger
- •No supervisory authority / central control
- •Decentralised — regulated by majority of community
- •Partially anonymous — identity protected
- •Transparent — all transactions visible on public chain
- •Very volatile in value
- •Examples: Bitcoin, Ethereum, Ripple, Litecoin
CBDC — e-Rupee (India)
- •Central Bank Digital Currency (digital fiat)
- •Issued & guaranteed by the central bank (RBI)
- •Legally same as physical cash — claim on central bank
- •Increases safety & efficiency of payment systems
- •Quick settlement of retail payments
- •Efficient P2P and P2M payments
- •RBI retail digital rupee pilot: December 1, 2022
- •Covers select locations in closed user group (customers + merchants)
| Dimension | Digital Currency | Cryptocurrency |
|---|---|---|
| Control | Centralised — regulated group controls the network | Decentralised — majority of community regulates |
| Anonymity | User identification required | Partially anonymous — identity protected |
| Transparency | Not transparent — wallet transactions confidential | Transparent — all transactions visible on public chain |
| Legal status | Generally recognised/regulated | Official status still undefined in many countries |
| Examples | CBDC, bank-issued digital money | Bitcoin, Ethereum, Ripple, Litecoin |
Virtual Reality (VR) & Augmented Reality (AR)
| Feature | AR | VR |
|---|---|---|
| What it does | Enhances real-world environment with computer-generated info | Completely replaces user's real-world environment with simulated one |
| Experience | Immersive aspect of the real environment | Fully simulated / virtual environment |
| Also known as | Mixed reality, computer-mediated reality | Virtual environment / simulation |
- →VR + AR + AI + sensor technologies improve operational efficiency and individual productivity
- →Banks need strong API strategy to deliver real-time data to various service layers
- →AR is related to: mixed reality and computer-mediated reality
Wearables
Wearable technology involves gadgets comfortably worn on the body for recording, tracking, or communicating information for personal or business use.
Banking Wearables
Notable Wearable Examples
Comm Badge
Wearable Bluetooth personal communicator for iPhone and Android
Google Goggles
Image recognition application from Google; searches based on images taken by handheld devices
Digital Lending & Regulatory Framework in India
Digital Lending — Meaning, Ecosystem & Regulations
Definitions
FinTech (FSB definition)
Technologically enabled innovation in financial services that could result in new business models, applications, processes or products with an associated material effect on financial markets and institutions.
Digital Lending (FSB FinTech Credit)
All credit activity facilitated by electronic platforms whereby borrowers are matched directly with lenders. Includes marketplace lending, P2P lending, and loan-based crowdfunding.
Two Forms of Digital Lending
BSL — Balance Sheet Lending
Lender carries credit risk on own balance sheet; provides capital for loans
MPL — Market Place Lending
Matches lenders & borrowers without carrying loans on balance sheet; includes P2P lending
3 Categories of Digital Lenders (RBI, August 2022)
(a) Regulated by RBI
Entities regulated by RBI and permitted to carry out lending business
(b) Regulated but not lending
Entities regulated by RBI but not permitted to carry out lending business
(c) Outside regulation
Entities lending outside the purview of any statutory/regulatory provisions
Digital Lending Products
- →Banks: personal loans (majority), SME loans, BNPL (private/foreign banks)
- →NBFCs: personal loans (majority), consumer finance loans
- →Global digital lending market projected to reach $20 billion by 2026 (19.6% CAGR)
RBI Major Guidelines for Digital Lending (Regulated Entities)
(i) No passthrough accounts
All loan disbursals & repayments must flow directly between borrower's bank account and the Regulated Entity (RE) — no passthrough/pool account of Lending Service Providers (LSP) or any third party
(ii) KFS mandatory
A standardised Key Fact Statement (KFS) must be provided to the borrower before executing the loan contract
(iii) LSP fees paid by RE
Fees/charges payable to LSPs shall be borne by the RE and not by the borrower
(iv) APR disclosure
All-inclusive cost of digital loans must be disclosed as Annual Percentage Rate (APR); APR shall also form part of KFS
(v) No auto credit limit increase
Automatic increase in credit limit without explicit consent of borrower is prohibited
(vi) Cooling-off / look-up period
A period during which borrowers can exit digital loans by paying only the principal (no penalty)
(vii) Nodal Grievance Redressal Officer
REs and LSPs must have a suitable nodal grievance redressal officer for FinTech/digital lending complaints; details must be prominently shown on RE website, LSP site, and DLAs
(viii) Escalation to RB-IOS
If complaint is not resolved by RE within 30 days, the borrower can lodge a complaint under the Reserve Bank – Integrated Ombudsman Scheme (RB-IOS)
Discussion
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