My Ssec Capstone Project WELINGKAR INSTITUTE OF MANAGEMENT RESEARCH

WELINGKAR INSTITUTE OF MANAGEMENT RESEARCH

WELINGKAR INSTITUTE OF MANAGEMENT RESEARCH & DEVELOPMENT
SPECIALIZATION PROJECT
on
A detailed study of the next generation banking – combination of process and technology.BY
SAPNA KUMARI
PGDM EBIZ I 2016 – 18 (OPERATIONS SPECIALIZATION)
ROLL NO 27
PROJECT FACULTY GUIDE PROF. SRIDHAR
Project Completion Certificate
This is to certify that project title “A detailed study of the next generation banking – combination of process and technology” Is successfully completed by Ms. Sapna Kumari in partial fulfillment of his two years full time course “Post Gradation Diploma in Management” recognized by AICTE through Prin. L. N. Welingkar Institute of Management Development & Research, Bangalore.

This project in general is done under my guidance.

247713513017500
(Signature of Faculty Guide)
Name:
Year of submission – 2018
ACKNOWLEDGEMENT
I sincerely thank Prof SRIDHAR for all their supervision and guidance. I would also like to thank all other faculties of Weschool without whose support the project could not have been completed. I also thank all the people who helped me directly or indirectly in my project.

Sapna KumariPGDM Ebiz I (2016-18)
Welingkar School of Management, Bengaluru

Table of Contents
TOC o “1-3” h z u LIST OF FIGURES51.INTRODUCTION71.1 Objectives71.2 Scope71.3 Methodology72.REVIEW OF LITERATURE82.1 Introduction82.2 Literature Review83.ANALYSIS OF WORK DONE PAGEREF _Toc507166236 h 113.1 Problem under Research PAGEREF _Toc507166237 h 113.2 Alternative solution and their advantages & disadvantages PAGEREF _Toc507166238 h 123.3 Proposed Solution PAGEREF _Toc507166239 h 183.4 Technical Justification of the Solution203.5 Technological Environment & Details PAGEREF _Toc507166241 h 213.6 Possible applications in the industry PAGEREF _Toc507166242 h 234.Findings & Recommendations PAGEREF _Toc507166243 h 245.Conclusion PAGEREF _Toc507166244 h 256.References PAGEREF _Toc507166245 h 267.Turnitin Report PAGEREF _Toc507166246 h 27
LIST OF FIGURESFigure 1 …………………………………………………………………………….17
Figure 2……………………………………………………………………………..19
Figure 3..……………………………………………………………………………20
Figure 4……………………………………………………………………………..22
ABSTRACT
As most of the banks are trying to gain the market as much as possible using different techniques, smarter ones are turning towards the next generation of banking system. Banking systems have changed a lot in last decade and will keep on changing in the next one as well, with the emerging technologies that are coming into the market every day. Technology changes the way banking process works and that is what leads to the next generation of banking system. Next generation banking will focus on value creation among its customer, run an optimized business and evolve a business model which will help them to emerge stronger than others.

With all the emerging technology and the dire need of banking system in day to day life, it is needed to know how the next generation of banking will shape up from the current system.

INTRODUCTION1.1 Objectives
To understand the latest technological disruptions in the banking domain, and how it will bring up the next generation banking, with regards to its process relation with technology. To understand how it will deliver better services and how the banking processes keep up with the latest technologies
1.2 ScopeThe scope of this research will be limited to only banking sector institutions. Also, to study and understand how the processes are going to change with the emerging technology, and how the landscape of banking sector will change with it.

1.3 MethodologyThe methodology of this study will be as a Secondary research, literature review to be done of previous research. A thorough study of previous research papers and published articles to understand the upcoming changes in the process of industry. A survey of customers to be taken about next gen banking expectation. It will provide the customer insight of what is expected and help understand it by mapping the technological changes to bring up.

REVIEW OF LITERATURE2.1 IntroductionIn past decade, technology has transformed the banking system. Over the coming decades, it will continue to do so. While we don’t anticipate many banks making the investment to replace their legacy core banking systems any time soon — in the past decade, barely a handful of banks have re-platformed — we do believe that achieving a digital and technology transformation will require continued investment in middleware. It is critical to drive the efficiency, productivity and speed to the market. However, to ensure real changes, this investment must be strategic rather than solely for tactical fixes.
The quickening pace of the technological landscape, has generated the need for a differentiated value proposition, enhanced customer experience and improved operational efficiency making the adoption of emerging technologies inevitable by the BFSI sector. As banks experience the age of digitization, technology is playing the key role in their future.

2.2 Literature Review1 In a white paper entitled “Next?generation Banking: Combining Process and Technology to Achieve Agility” it is observed that Process is now a key concern for business managers and technology architects. It is now a critical requirement in the financial services industry. Banking must respond with agility and flexibility to customer demands; operations and technology must be responsive to rapid changes.
Process maps, duly enriched, can capture both business?critical dimensions and the key technical metadata that systems need to execute on the overall vision. Next?generation banking means interconnected applications and flexible orchestration, driven by business needs, and without a long intermediation cycle.

2 In a white paper entitled “Global banking outlook 2015: transforming banking for the next generation Technology reshaping banking” by EY it is observed that with only 24% of global IT spend going to investment (less than 20% in Europe), the choice of where to invest will be even more difficult. Nevertheless, it is clear that technology will not only reshape the experience of banking customers, but will revolutionize institutions’ internal processes, making them more efficient and more productive. Customer expectations have moved beyond “omni-channel” — which has generally been seen by banks as a more consistent multi-channel strategy. They now want to interact with their bank whenever they want, however they want, and wherever they want, and to be able to shift seamlessly between channels.

Customers want a ubiquitous experience. In the next decade, we expect to see banks increase their investment in social media as this becomes a more common route to interact with banks.

We expect technologies like check and card imaging to become commonplace. We also believe multi-day cycles for re-issue of checkbooks or cards will no longer be acceptable. While some newer, more efficient institutions already have the capability to issue checkbooks and cards in-branch, the evolution of technologies such as digital printing may eventually enable customers to issue their own cards at home — if cards have not been usurped by mobile wallets.

Banks will also transform the way they use data internally as they respond to demands from multiple sources. Teams in banks increasingly need more and better-quality data to drive decision making — whether around resolution of customer issues or internal risk management issues. Data will be particularly important in dealing with cybersecurity issues, which our European Banking Barometer 1H14 revealed as a top-three priority for major banks. EY’s Global Forensic Data Analytics Survey 2014 showed that 72% of respondents believed big data technologies had a role to play in fraud prevention and detection — but only 2% are already using them.

3 In a white paper entitled “FINsights technology insight for the financial services industry”, it is analyzed that the author talks about five customer imperatives. These imperatives that customers will be looking at to be addressed by their bank of choice are: 1. Channel Amplification: Develop right mix of assisted and self-service channels to provide a rich, unified and consistent banking experience. 2. Service Accessibility: Incorporate technologies which can make banking accessible to a broader base of population. 3. Customer Serviceability: Develop a responsive, reliable and competent service model, accessible via various channels that continuously take feedback and can improvise. 4. Data privacy and security: Protect the identity of the customer, and ensure appropriate mechanisms are established to proactively guard against internal and external misuse of customer information. 5. Simplified banking: Make banking sophisticated, yet simple, in terms of processes and services, to enhance the customer experience.
4 In a white paper entitled “Banking on Digital Transformation-Surfing the Wave” it is concurred that banks across the globe are rapidly adopting digitization techniques to help improve customer experience and operational processes, and transform their business model in order to sustain and grow their business. Digitization is happening at all levels within banks, from operational/back office layer to the customer touch points to facilitate holistic improvements and ensure enhanced value for customers.
A sound quality assurance framework that will factor in all quality and security risks, enabled by robust tools, methodologies and frameworks, is imperative to the success of the digitization initiative. The quality assurance framework must be built on a foundation of clear understanding of the digitization goals /objectives of the bank and must be able to objectively gauge the extent of achievements of the objectives throughout the transformation process.

5 In a white paper entitled “Banking on a Digital Future A Guide to Digital Transformation in Banking” it is concurred that while banks were some of the earliest private sector companies to adopt information technology, that very lead has put them in a position of having to play catch-up in a world that is shifting to real-time, mobile-driven, and consumer-led technology.

We speak to banks and service providers all over the world, and the top-of-mind topic today is Digital. What that means varies. From an executive in charge of a processing center, it means getting rid of paper, while to a retail banking leader, it points towards developing an Omni-channel strategy with a significant mobile component. These and many other perspectives are valid; combining them into a coherent, enterprise-wide strategy is where execution becomes all-important. Uniting disparate areas of the business, each of which has different goals and metrics, under a comprehensive strategy, is challenging.

It’s undoubtedly necessary, however. Every bank today must decide what its digital future will look like. And, it must do so while setting clear business goals: increasing revenues, reducing costs, or mitigating risk. There’s no single end-state that’s applicable to every bank or credit union, nor is there just one way to get there. Whatever path you take, though, you should heed the lessons of those who have gone before you, and know that a robust roadmap to rally the organization behind is invaluable.

ANALYSIS OF WORK DONE3.1 Problem under ResearchThe rate of technological modification is thus quick that our ability to grasp the implications of it’s ne’er been thus necessary. Startup firms unburdened by inertia or Wall St. expectations square measure growing quicker than ever and difficult incumbents. Recognizing and grasp exponential opportunities sets apart successful leaders from linear thinkers. Over subsequent 5 years, money services and so all sectors of the economy are dramatically noncontinuous, primarily by bigger client direction and technology driven innovation.

Banking is changing into a lot of convenient because of the net, and also the way forward for the banking sector is growing more and more digital. Today’s digital age and hyper-connected atmosphere needs banks to re-imagine their business unendingly, and Indian banks creating nice strides once it involves true digital transformation.

The industry has experienced mixed leads to the post-crisis amount from 2008 to 2010. trade growth has slowed considerably; the expansion rate of assets of the highest one thousand banks globally1 within the post-crisis amount remained a pair of.7%, compared to the whole number growth rates witnessed throughout the pre-crisis years of 2006 to 2007.

On the opposite hand, once watching risk management and profitableness, there has been important recovery. Profits have came to pre-crisis levels and also the economic condition of the trade has witnessed important improvement with growth of three.8% registered in capital adequacy quantitative relation throughout 2007 to 2010.

The duality within the growth prospects of banks from developed markets versus those from the rising markets has conjointly been highlighted by the crisis. Driven by buoyant economic prospects, the industry within the rising markets remained profitable even throughout the worst part of the crisis. This contrasts with the performance of banks from developed markets that registered vast losses throughout a similar amount. Even in coming back years, banks from the rising markets square measure expected to drive the expansion of the worldwide industry.

Increased regulation of the industry has been a crucial results of the money crisis; the sign language of the Dodd Frank Act within the U.S. and efforts to place in situ a a lot of strong restrictive framework for the money markets in Europe square measure indicators of this new restrictive age. The impact of such heightened laws won’t be restricted to further compliance value which can be obligatory on banks.

It will even have a control on the method banks organize and conduct their business. Risk management has emerged as a key priority space for the industry. The past year around has seen banks taking Associate in Nursing more and more conservative approach to conducting their business and managing risk. As a result, risk management has conjointly become the key priority space for technological and infrastructure disbursal. within the future, we tend to could expect further activity on the a part of banks to spice up their risks management capabilities. Also, so as to contain dishonest practices, fraud protection techniques like background checks, anti-money washing and apprehend your client (KYC) forms square measure expected to rise in importance within the future.

alternative solution and their advantages & disadvantagesThe next decade can bring each evolution and revolution for banks. the foremost winning establishments are those who will reinvent themselves to beat the pressures of nowadays whereas changing into versatile enough to reply to the globe of tomorrow.

•Greater specialise in profitableness and additional targeted specialise in revenue growth
•Narrower scope and less complicated structures
•Fewer client segments however across additional markets
•Deconstructed product with customer-selected elements
•New product aligned to rising client desires
•Incumbents operational key services for brand spanking new competitors
•Outsourcing of back-office functions with no competitive advantage
Now specialize in some the innovations within the banking sector within the space of digital, IoT and psychological feature technologies.

Digital Banks:
Changing client expectations within the digital age area unit forcing banks torethink their ways. Customers predict a a lot of intimate relationship with their bank and need a novel and compelling expertise. they’re expecting a lot of flexibility and interactivity through digital platforms. Expectations area unit shifting to instant, 24/7 contact through digital channels, which incorporates a lot of personalised product and services furthermore as period insights.

One of the biggest banks in Israeli market, has launched a digital banks, with no branches and 100 percent free – no bank account fees. With higher expectations from each corporate/ institutional and client purchasers, the requirement to supply a next-generation digital banking expertise becomes a strategic necessity.

Recently Associate in Nursing Indian non-public sector bank declared the launch of their digital bank initiative that gives zero balance bank account with zero charges for all digital transactions and might be opened victimisation Aadhar and PAN card. Born out of Hon. Prime Minister Shri Narendra Modi’s vision of a Digital New Asian nation, this product has been designed round the plan of simplicity and easy use.

IoT:
The Internet of Things (IoT) may be a vital technological transformations on thehorizon, with several already claiming that we tend to square measure getting into the second major digital revolution. Analysts at AN yankee analysis and consultatory firm predict there’ll be twenty five billion smartphones, smartwatches, wearables, connected cars and different connected devices by 2020. Retail banks have really been mistreatment AN early image of AN IoT device for decades: the cash dispenser machine (ATM). Since their widespread adoption, ATMs are one in all the highest IoT devices that create banks way more economical by removing the necessity for long wait times to check a teller at a brick-and-mortar bank.

Banks square measure turning toward new IoT technologies to reinforce the user expertise and cut back prices. Some banks have started mistreatment beacons, as an example, to send custom-made offers right to customers’ smartphones as presently as they enter the branch. and a few ATMs currently have live stream video support that enables customers to talk to tellers if they have further help. an oversized public sector bank recently had introduced RFID-enabled banking cards whereby a branch/relationship manager will establish a valued consumer getting into a branch with the cardboard. Similarly, one in all the most important non-public sector banks in Bharat has affianced with Indian startup for AN IoT primarily based good plus management resolution.

Artificial Intelligence:
Artificial intelligence (AI) and psychological feature technologies have the potential to remodel each front workplace and back workplace operations. one in all the biggest Indian MNC bank has deployed computer code robots across two hundred business method functions, reducing the reaction time to customers by up to hr.

Robots are deployed last year to support the branch workers at 2 giant Indian banks. These robots will value anyplace between Rs7-8 lakhs and square measure cherish 3-4 FTE. AI has already verified itself in providing seamless differentiated client expertise on digital channels, and security measures with its integration inside the banking infrastructure. Intelligent digital assistants square measure commonplace, and these self-learning programs keep recouping with each interaction.

An yankee bank company has teamed up with one in all the biggest on-line distributer to place up Associate in Nursing app on a ‘smart’ speaker, permitting customers access their bank accounts victimisation their voice.

Last year Associate in Nursing Indian MNC bank had launched its voice recognition service wherever customers aren’t any longer square measure needed to enter their card numbers, PIN and answer security inquiries to evidence themselves. Their voice can currently act because the parole for banking transactions through the call-center. The voice recognition technology works on voice prints, that square measure distinctive to a private. It contains over a hundred characteristics as well as voice modulation, speed, accent, pronunciation that square measure not possible to imitate, thereby enhancing security. The Bank stores the client’s distinctive voice print against a customer’s account and matches it whenever the customer calls from the registered mobile range, giving a seamless expertise to the client.

Mainframes: modern platform for innovation
Mainframes became a contemporary platform for innovation. once in operation during a hybrid cloud atmosphere, mainframes offer value flexibility, quantifiability, agility, sophistication, and unmatched security and that they support innovation, business transformation and new forms of monetisation. the ability of mainframe computing is turning into rediscovered. Specifically, during a recent 2017 survey of banking executives, we have a tendency to found that:
40% aforesaid they believe hybrid cloud – and therefore the systems that underpin it – will considerably lower the price of IT possession
47% aforesaid they believe mainframe- enabled hybrid cloud will improve in operation margin
47% aforesaid they believe dual-platform hybrid cloud will accelerate innovation.1 whereas innovation and improved profit ar essential success factors for banks, it’s equally necessary that they maintain business as was common. There will be no interruption to the economical process of large volumes of daily banking transactions. In fact, ninety two of the world’s prime a hundred banks place confidence in mainframes owing to their ability to method large volumes of transactions expeditiously.2For example, mainframes method over $7.7 trillion USD in mastercard payments annually and support twenty nine billion yearly ATM transactions (another $1.7 trillion USD).3 the most recent generation of mainframe processes associate astonishing twelve.5 billion transactions per day, against totally encrypted knowledge.

Protecting Customer trust:
Cyber criminals square measure at war with banks. Our latest analysis of security incidents showed that in 2016, the money services sector was attacked quite the other – experiencing sixty five % a lot of attacks than the common organization across all industries.7 nothing kills client trust quicker than loss of personal knowledge, or a highly-publicized systems breach.

Data is that the new perimeter; there are often no compromises once it involves the safety of core systems knowledge, as this can be wherever the muse of trust begins – and ends. the foremost effective thanks to keep that perimeter secure is by encrypting all knowledge, all the time, and maintaining coding keys during a place wherever they can’t be compromised.

For most systems, coding could be a time- intense, dearly-won method – therefore it’s solely performed by selection. however the newest generation of mainframes – are designed to permit coding of everything, all the time, each knowledge in-flight and at-rest with no application changes.

This easy-to-use and inexpensive coding capability is integrated with dedicated science coprocessors and a key management system certified to the foremost tight skilled standards. it’s not necessary to make your mind up what and what to not inscribe. The mainframe delivers a immensely increased level of security, that is crucial within the battle against cyber criminals.

Data becomes vulnerable once it’s affected or traced outside of this zone of protection. notwithstanding however well core banking systems and knowledge square measure protected at the supply, once knowledge is taken off-platform for analysis or alternative functions, it introduces extra, probably incompatible and, arguably, weaker, security zones that has got to be managed. Avoid this issue by keeping knowledge in situ.

Next-gen chatbots:
2017 saw several major banks in India such as HDFC, ICICI, and YES Bank, amongst others, adopting chatbots for supporting customer interactions. Currently, these chatbots are said to possess the intelligence of a 2-3-year old.

Blockchain:
‘IndiaChain’ it is the largest blockchain network created by NITI Aayog to reduce frauds, increase transparency and to speed the enforcement of contract. Now a days Blockchain does not remain untouched by the industry. All most every players have begun major projects to measure the feasibility for adopting the blockchain in their industry. Banks are going to explore the power of blockchain to enhance their backend operations as blockchain is virtually unhackable.

The Open API Bank:
As the Banking money Services associate degreed Insurance (BFSI) trade moves towards an setting that’s quick and agile, runs within the cloud, and wherever client acquisition is predicted to be lightning quick, several corporations can begin to launch their own app marketplaces through Open API programs in 2017.
Open API’s platforms can modify banks to compile new associate degreed existing processes as a method of giving the innovative digital merchandise and services that ar important to retentive and attracting customers in an progressively competitive market.

Platformification, a term coined by fintech professional Ron Shevlin, can support open, unified, multichannel integration, a vital someone that empowers banks to specialize in synergies across all channels and partners — each internal and external — instead of merely on the delivery of a particular product, service ortransaction. Over successive twelve to thirty six months digital banking API platforms are launched by the bulk of banks and can embrace a broad vary of capabilities — as well as money management, payments, marketing, loyalty, analytics and client communication management.

Figure 1
3.3 proposed solutionComing up with one resolution for consequent generation of banking might not be as viable as compilation them along and mentioning new and higher system, which may offer simple service, higher security, quicker service and solve the problems at quicker rate by decreasing its error. One such resolution may be “Artificial Intelligence & Advanced Machine Learning”.

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Figure 1
Artificial Intelligence (AI) has reached a important tipping purpose and can be at the guts of a convergence of technologies like information Science, web of Things (IoT), Optical Character Recognition (OCR), linguistic communication Programming (NLP) and Blockchain which will drive structural amendment within the approach money services operate. For developing systems that may learn or learn or adapt or respond autonomously rather than simply execute predefined directions square measure the parcel for technology vendor throughout 2017, then over sequent few years. These vendors won’t solely need deep domain experience and perceive the nitty gritty of underlying ancient processes, however can want the technical capability to deliver ‘digital’, and style thinking – a mix of skills that’s terribly laborious to return by.

When considering the automation opportunities offered through AI, several banks have known onboarding and apprehend your client (KYC) processes because the priority space. historically a paper-intensive, and full-time worker (FTE)-heavy operation, the client acquisition method is usually the primary impression a brand new client gets of a bank, and later on is that the prime focus of digital-only contender banks WHO request to disrupt the business. New advancements in desegregation OCR and natural language processing, currently change banks to deliver a additional resistance expertise by permitting customers to simply transfer documents through their mobile camera and extract each the required information fields and ‘intent’ of documents to fully-automate the credit decision method. The Mortgage Bankers Association has forecast that the house purchase originations and finance originations can total $1.31 trillion in 2017, and with document management prices forming a large a part of each mortgage originated, any increase in straight through process of documents can scale back the burden on the business as a full.

Figure 2: AI Applications in Financial Institution
3.4 technical justification of the solutionAccording to Deloitte’s written report titled AI and You: Perceptions of computing from the EMEA monetary Services business, AI will be explained in terms of 3 application domains:

Figure 3: Cognitive Computing Pyramid
Also, once it involves banking, security is of main concern. the $64000 challenge in today’s banking sector is that the speed at that malwares unfold. to deal with this challenge, this sector of economy is finance deeply into computing and machine learning. Machine learning could be a software system answer which will facilitate to observe what’s doubtless to be malware, even once it’s utterly original or remixed piece of code.
Banks may use machine learning to cater the correct client at the correct time. One issue that humans lack is providing fast context to client queries, with AI and advanced machine learning one will serve its clients with virtual assistants which will cater the customer a lot of effectively and expeditiously. In short, banks may produce a stronger client Relationship Management system through the answer projected, which may facilitate them in maintaining nice consumer relations and managing expectations. this can be popularly categorised as Service Operations Automation or ServOps beneath SaaS.

3.5 Technological Environment ; DetailsThe business model of consecutive Generation bank is extremely enabled and compact by the emergence of latest technologies. The medical care of banking services has enabled new competitors to enter the banking sector. monetary technology start-ups (FinTechs) square measure booming and have the potential to vary the business. Existing major technology firms like Google and start-up firms like Spotcap have already taken their initial steps to vie with banks on ancient banking product and services, creating them serious competitors. additionally, sixty one believes that daily payments are going to be confiscated by these technology firms within the close to future, leading to a major impact on the banks interaction with the client via payments.

Artificial intelligence once combined with machine learning has many applications within the industry. Few such applications are:
1.AML Pattern Detection:
AML stands for Anti-Money washing that refers to a collection of procedures, laws or rules and laws to prevent the apply of generating financial gain through extrajudicial actions and areas. Over the years, systems enabled with AML can facilitate the bank and indirectly can facilitate the govt. to stay a watch on the nation’s wealth.

2.Algorithmic Trading:
According to the studies within the past, the mercantilism nowadays is truly dispensed by machine-controlled AI systems that follow completely different methods for creating high frequency trades (HFTs) as before long as they establish a mercantilism chance.

3.Fraud Detection:
Early example of information analysis implementation techniques within the banking sector is that the FICO Falcon fraud assessment system, that relies on a neural network.

4.client recommendations:
With massive knowledge and quicker computations, machines let alone correct computer science algorithms, play a serious role in however recommendations square measure created to the purchasers and customers of the banking sector.

5.prophetic recommendation to Customers:
With customers, AI use cases within the banking sector, like Associate in Nursing skilled national economy, may take all the data concerning the shopper like age, past investments, preferences and may produce monetary recommendation through Chatbots6.Identity Analytics:
AI infused with machine learning, are going to be ready to evidence a client a lot of dependably that counting on mere username Associate in Nursingd an encrypted countersign. It will perceive a speed at that someone sorts, their physical look, will catch eye movements etc. which may all facilitate in accessing Associate in Nursing worker to restricted areas.

Figure 4: Banking in 2018
3.6 possible applications in the industryBy collection the insights from leading influencers of the industry, we tend to came to grasp that this specific business is one amongst the quickest to soak up the newest technologies within the market. within the coming back years with the assistance of computer science and Machine Learning, banking sector can give the smoothest client expertise with high level of security. in step with PwC reports, computer science within the banking industry have already been enforced within the past year, in four Indian banks once massive money service corporations and FinTechs collaborated to conduct proof of ideas.

State Bank of Asian nation, being one amongst the four banks, is exploitation associate AI primarily based resolution that scans cameras put in within the branch and captures the face expression of {the clients|the purchasers|the shoppers} that successively in real time report whether or not the customer is happy or unhappy. This helps in collection the close to period feedback. The bank is currently operating to make a dashboard which will gauge the effectiveness of tellers supported the client feedback. Also, AI has launched SIA that is meant to handle nearly ten,000 client enquiries per second. Currently, it will solely address enquiries on banking product and services. with the exception of SBI, HDFC too has developed associate AI primarily based chatbot EVA that is understood for assimilatory information from thousands of sources and supply answers in but zero.4 seconds
Findings& RecommendationsEvery bank these days should decide what its digital future can seem like. There’s no single end-state that’s applicable to each bank or depository financial institution, neither is there only 1 thanks to get there. Over following 5 years, money services and so all sectors of the economy are going to be dramatically discontinuous , primarily by bigger client authorization and technology driven innovation. The past year about has seen banks taking Associate in Nursing progressively conservative approach to conducting their business and managing risk. As a result, risk management has conjointly become the key priority space for technological and infrastructure outlay. within the future, we have a tendency to could expect extra activity on the a part of banks to spice up their risks management capabilities. Also, so as to contain deceitful practices, fraud protection techniques like background checks, anti-money wash and apprehend your client (KYC) forms area unit expected to rise in importance within the future. Banks area unit turning toward new IoT technologies to reinforce the user expertise and cut back prices. Robots are deployed last year to support the branch workers at 2 massive Indian banks. Also, many major players have already begun pilot comes to live the feasibleness of adopting blockchain into their ecosystems. As blockchain is nearly unhackable owing to time stamps that mark an information entry during a distributed ledger, banks can explore choices to leverage the ability of blockchain to remodel backend operations.

conclusionThe review of existing analysis paper helped North American nation to grasp subsequent generation banking technologies and combos. It is ended from numerous alternative studies that the banking sector must detain pace with the newest developments in and round the globe. establishments that have started coming up with, creating selections and investments to combat growth opportunities each in domestic & international market will lead the business. If not, then a scenario that is drawn as a chance to some, could prove itself to be a threat for the others. The challenges of this specific business is to shift balance of technologies pay between maintenance and investment to drive internal changes and shield against non-traditional competitors keeping in mind that the protection of its customers.

ReferencesKrishna, Arvind, Sanjay Rishi, Nicholas Drury, Lynn KestersonTownes and Anthony Marshall.
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IBM Institute for Business Value analysis based on internal client information.

“The ETL Problem Solved: The Compelling Financial Case for Running Analytics on the Mainframe.”
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“Global banking outlook 2015: transforming banking for the next generation Technology reshaping banking” by EY
“FINsights technology insight for the financial services industry”, by Infosys
“Banking on Digital Transformation-Surfing the Wave”, by Bharathi R, Ekamathy P, Rajesh S at SQS India BFSI Ltd.

“Banking on a Digital Future A Guide to Digital Transformation in Banking”, by Daniel W. Latimore, SVP, Banking, Celent, Research and Consulting Firm
turnitin report