A Course in Innovations of Digital Banking - a global view.

This is an overview video of 2019 Digital Banking Update video in next section, where subscribers shall get access to new innovation themes used by multiple global banks.

You can choose to go through this video either at the start of this course or at the end , as per your own choice. This video has 2019 update on various happenings in Digital Banking area, across the globe. By 2019, many banks have adopted various innovative technologies such as Artificial Intelligence, Machine Learning, Deep Learning, Block-chain, Big Data, IOT, Chat bots, Internet and mobile banking, bio-matrix etc. This video will guide you about the global initiatives of multiple banks across USA, UK, Canada, China, Australia, Singapore, Spain. Therefore you will have latest knowledge about digital banking success stories or implementation stories across the world.

Quiz for 2019 Case studies Video

This is an introduction or promo video for the next lecture based on global 2020 innovation themes across the different continents of this planet. This promo video gives glimpse of whats coming in the next video of this section, where innovations by 10 different banks and fintech companies across the globe are demonstrated.

This 2020 update video describes 10 different inititives taken by various banks and financial institutions across the globe in various areas such as Artificial Intellegence, Machine Learning, Predictive analytics, AR / VR, Open banking / API,  Back-end and front-end automation in business banking, Mobile cash, virtual money transfer in cashless economy, ready Fintech banking framework etc. 

Quiz for Digital Banking Case studiesy Video 2020

This 2020 video has the meaning of Blockchain and few specific case studies in the Banking and finance world.

Multiple Choice questions Quiz for Blockchain Special Case Studies 2020

LISA and TED'S experience -

Multiple technolgies supported by banking landscape such as-  IOT, smart mobile Mobile, GPS, Integllent alerts, biomatrix at bank, automated wall support,   Auto fund assessment, auto LC creation, approval and payment, social media- big data analytics, Intelllegent vendor search, spending pattern studied, free airline miles offers, new digital marketing experience etc.

Students shall learn as to how banks and financial institutions are using AR and VR technologies in various areas such as e.g. creating a Virtual Branch, new Online Banking experience, Stock or commodity Trading Segment, Credit card outstanding view and property view and valuation in Mortgage lending business   

Quiz for New visual, virtual experience in Banking using AR and VR technologies

Illustrative sample Automated Customer Onboarding experience from Synechron Inc with the use of  technologies such as AI / Machine learning, OCR scanning documentation, Driving license data captured, Auto KYC, No data entry, Digital signature, Onboarding status to customers, Predictive technologies to assist onboarding, 360 degree banker's view, Banker's dashboard, Auto-polulation of documentation based on tax records and Bank statements, Auto-STP to product processors etc

This is the initial brief for this complete series of Global Digital Banking 2021 video  on Open Banking. This segment talks about the importance of open platform in business world with example of Uber open APIs and then it connects with the need of open platform in the Banking world

QUIZ - Initial Brief on Global Open Banking

This "Segment A" lecture gives very brief idea on the details of open banking with a simple use case as an example. 

Quiz A -Video Lecture- What is Open Banking

This Segment B talks about, how this structured and well-defined initiative of Open Bankng Initited by European Parliament in 2015.  This segment also gives the history of Open Platforms, APIs usage in the global industry since last 25 years.

Multiple Questions quiz for Video section B on - HOW WAS THIS STRUCTURED OPEN BANK ON OUR PLANET.

This Segment C talks about the Features, functionalities and possible opportunities of open banking for any bank, financial institutions, fintech world or any third party institutions. 

QUIZ - VIDEO SEGMENT C- FEATURES, FUNCTIONALITIES AND OPPORTUNITIES OF OPEN BANKING

This Segment D gives the views of various banking and finance industry experts about the open banking evolution in the global arena. 

MULTIPLE CHOICE QUIZ - VIDEO SEGMENT D- OPINIONS OF EXPERTS ABOUT OPEN BANKING

This Segment E describes various limitations or problems or criticism faced in the open banking implementation and adoption, as of early 2021.

MCQ - QUIZ - VIDEO SEGMENT E - LIMITATIONS OR PROBLEMES FACED IN OPEN BANKING.

This Segment F describes about the maturity of the multiple global banks across many countries with quadrants defining functionality Vs the customer experience.

MCQ BASED QUIZ FOR VIDEO SEGMENT F - MATURITY OF MANY GLOBAL BANKS WITH EXAMPLES

This segment G talks about the interesting case studies and use cases of the Open banking initiatives. In fact this lecture gives a good view of efforts by many fintech companies and banks.

MCQ BASED QUIZ FOR VIDEO SEGMENT G - CASE STUDIES AND USE CASES

This Segment H gives details about the status of various countries in adopting this open banking either through internal regulations or via market forces.  As this is the concluding video, we have also given our views on this topic. Finally, we have done a recap of all the topics covered in this Global Digital Banking - 2021 Open Banking Section.

MCQ BASED QUIZ - VIDEO SEGMENT H - STATUS OF VARIOUS COUNTRIES AND OUR CONCLUSION ON OPEN BANKING

Details on online payment processing lifecycle, Various players in the online payment industry, Online payment lifecycle from E-commerce Merchant's view, Payment Gateway, Role of Payment processors.

This talks about the interoperability between various mobile wallets for fund transfer. "Any-to-any wallet transfer" and "Any-to-any Bank account transfer".

Massive, 2 Billion US Dollar Fraud in India and the learning we should have from the incident.

We are creating a new Digital Banking Center, with our first attempt to start a podcast. This podcast helps students to be aware of the latest global news in the digital Banking center. This podcast shall help students to be always aware of the latest news in the digital Banking and can be useful in their jobs or business.

AS A PART DIGITAL BANKING CENTER PODCAST INITIATIVE, THIS IS THE LATEST KNOWLEDGE ON WHATS HAPPENING IN BANKING ARENE ON CHATGPT, AI, API INTEGRATION ETC, FOR VARIOUS BANKS SUCH AS JP MORGAN CHASE, BANK OF AMERICA, CITIBANK, PNC BANK.

DIGITAL BANKING CENTER_PODCAST 5_ CASE STUDIES IN GENERATIVE AI IN BANKING ESP ON FRAUD SUBJECT BY SWEDBANK OF SWEDEN AND EMBEDDDED FINANCE SOLUTION BY A FRENCH FINTECH COMPANY CALLED DEFACTO.

DIGITAL BANKING CENTER_PODCAST 6_CLOUD COMPUTING IN VARIOUS BANKS SUCH AS JP MORGAN, BOFA, WELLS FARGO AND SMALL AND MEDIUM ORGANIZATIONS. WHAT IS IT? ADVANTAGES OF CLOUD COMPUTING IN BANKS, HOW LARGE BANKS ARE ADOPTING TO CLOUD? HOW SMALL AND MEDIUM BANKS ARE MOVING TO THE CLOUD ENVIRONMENT ETC.

In 2018, Gartner predicted that leading global tech companies like Google (Alphabet), Apple, Meta (Facebook), Amazon shall replace many banks by 2030. 

They said that 80% of the traditional banks shall be replaced by Fintech companies as well as Leading Global tech companies, if they do not transform digitally. 

This podcast no 7 assesses the reality based on practical situation in 2023.

Deep-Fake AI is creating a revolution in multiple industries, but causing panic with few banking customers as call centers can get fooled by such technology.

As per New York times article, recently one such incidence was reported where a Deep-Fake AI based voice imitated the voice of a customer instructing a bank to transfer fund from the customer’s bank account. This has caused a panic button amongst customers as well as banks, especially the call centers.

This podcast discusses the current status. where cyber security experts are inventing new ways to counter such fraud.

"False positive" is a concept in which a technology system misguides bank. For example, a genuine transaction is assumed as a suspicious transaction based on some of the system prejudices. However, on the detailed investigation, it is found to be a False Alarm. Genuine customers suddenly find their accounts being closed, blocked, deactivated or frozen with no help from call center or bank branches. Genuine customer accounts have been blocked on various reasons such as abnormally high value transaction, transaction from the distant location in comparison to the base location of the customer, multiple low value cash transactions, transaction from the countries blacklisted by agencies. Articial Intelligence (AI) is making the scenarios worse due to its prejudice fed by the human beings while training AI. Banking industry is struggling to find solution to the extent of problems and may soon find the solution based on the incremental learning.

Case studies of banks such as Barclays, Bank of America, Banco Santander and Discover Financials, using AI in their Operation.

AI can be used for 2 specific segment of work 1) Automation of functions or activities 2) Prediction of future possibilities. Some banks have already started using AI for 3rd segment called Generative AI.

In future, more banks shall use Generative AI.

Within this podcast we shall study as to which leading banks are using AI for what purposes or case studies.

BIAN (Banking Industry Architecture Network) has published Coreless Banking Architecture in the year 2021. This lecture trains students on Coreless banking, which is slowly replacing the most expensive Core Banking, in the era of most flexible Microservices and APIs with "Pick & Plug" time. 

This video lecture presents a case study on how a new generation bank has effectively used Coreless banking and achieved the most efficient implementation with lowest cost, fast time to market and adopting the pick and Plug functionality while best using multiple vendors in the BAAS (Banking-as-a-service) Model.

Essentially coreless banking architecture by BIAN involves following.

One - Complete plug and play functionality to ensure no impact to user experience.

Two - Fully deployable to the cloud, so users can take advantage of modern software development techniques.

Three - Bank consumable API interface to orchestrate BIAN APIs and reduce network traffic

Four - Cross domain orchestration to also reduce network traffic.

This quiz is on the topic of Coreless banking covered in the video.

This podcast talks about state of future Investment in the physical branches. Are banks investing in Branches anymore or they depend heavily on digital channels in the era of Millennials and GenZs? This Podcast describes on the history of the Branche-first approach and how human relationship have slowly replaced by the Virtual or Digital world. It also discusses whether Physical Branch Investment has a sufficient ROI in today's context. 

This podcast also shares positive as well negative pointers for continuing to invest heavily in the physical set up. Moreover, this podcast also assesses whether there are any exceptions or outliers in investing heavily in the new branches.

Erica, a Chatbot from Bank of America (BOFA) was designed and developed in 2018 to support huge customer service infrastructure pf BOFA. In its initial period it was merely an FAQ for banking products, which was later enriched to include check account balances, enquire customer transactions and then subsequently it was progressed to include proactive as well as reactive Financial Advice to its customers. The size and no of transactions displays its amazing success in terms of no of customer queries, no of interaction, no of proactive notification and no of financial advice provided. It's a benchmark if technological success, when technologies such as Artificial Intelligence, Data Analytics and few more were neatly bundled to give accuracy and speed of response.

Artificial Intelligence is creating a huge metamorphosis in the corporate world as scientist have given us superlative concepts of Machine Learning, deep learning advancing to concepts such as Generative AI combined with Large Language models etc. and the application of such concepts with astounding outputs in form of Text, Image, video, Synthetic data, Hyper-analytical advanced view.   

This video gives glimpse of what is Generative AI model, how Generative AI can be useful within Banking, what are use cases of Generative AI in the Banking and a public demo from Intuit Inc. for use of Generative AI  GenOS.

This is a podcast about how a German software company, Kern AI, has developed a solution using Generative AI and Large Language Model (ChatGPT) to convert extensive banking manual documentation into a format that can be quickly and effectively queried. This technology has been implemented in one of the German Bank, is significantly improving the efficiency of their call centre operations.

The system allows call centre agents and bots to respond to diverse customer queries, in less than 30 seconds, regardless of the size of the banking document manual.

The process involves uploading the entire huge banking manual into the Kern AI’s ChatGPT system, which then converts the 2-dimensional data into multi-dimensional connected data points, making it readable and searchable for ChatGPT. This creates a structured knowledge graph that allows ChatGPT to easily identify and relate specific words or paragraphs in the query to the appropriate response.

For instance, if a customer queries about claiming medical expenses incurred during travel, the system prompts the customer to select their insurance policy from a dynamic dropdown. Once the policy is selected, the system generates a detailed response in less than 5 seconds, providing the necessary information and a link to the related webpage or physical address. This entire process takes 20 to 25 seconds, compared to the previous 5 minutes. This is a significant improvement in response time, demonstrating the effectiveness of Generative AI in enhancing customer service operations.

This podcast lecture helps students to understand the depth of Digital Banking Automation since 1980 to 2015 and Use of Artificial Intelligence since 2015-16 till current period. This lecture also discusses whether the topic about "Digital Bank is dead with AI Bank" - is only a myth or a reality. This podcast also talks about which multiple functional projects have been undertaken by Banks using AI and whether they are complementing Digital Bank or they are replacing Digital Bank. This lecture also discusses multiple technologies relevant to Digital Infrastructure beyond AI. Moreover, a qualitative discussion is made on the concept of "AI-First".

Cyber fraud and scams are recurring everyday across multiple parts of the world. This Podcast on Zelle case study of USA, describes the way scammers fools the gullible customers were defrauded with the small or big fraud.

In fact, more than 190,000 cases of Zelle-related scams were found across USA, involving millions of dollars across various participating banks.

The podcast covers following topics -

- What was this ZELLE Scam?

- How were customers fooled in this scam or fraud?

- What was the Monetary Value of that scam or fraud?

- What Actions were taken by Banks as well as Regulatory Organizations?

- What steps should be taken by the customers or general public to avoid being trapped in this scam or fraud?

This video lecture podcast discusses a case study of how BBVA bank of Spain has achieved enormous success using a concept of Hyper-personalization.

Hyper-personalization involves analyzing the customer needs and preferences and providing him tailor-made services or solutions using multiple technologies. This is a true technological advancement from the time of CRM based Personalization.

In the current digital banking era, a term personalization involves offering personalized offers and solutions to customers, assuming that a customer belongs to a specific segment or category created while mapping his age, gender, life-stage, geography etc. Taking the concept to the next level, Hyper-personalization assumes that every customer as unique, even if there are millions of customers and offer highly personalized offers and solutions. Though the tracking of class, segment or community is not ruled out by Hyper-personalization, attempt is made to make it extremely relevant and focused to individual customer.

From the technology perspective, Hyper-personalization uses combination of Artificial Intelligence, Machine Learning, CRM, Social media tools, Advance Data Analytics including predictive analytics and business intelligence, Cloud, etc to derive improvement in overall customer experience.

Our Podcasts are aimed to bring the latest innovations in the digital banking space. The current podcast covers This podcast gives news about "Which Bank is doing what" in the digital Banking Innovation space. For example, within this podcast we have covered areas such as

· Internet of things (IoT) in ATM machines in case of Barclays in UK.

· Blockchain in Cross Border Payment for Standard Chartered Bank.

· Data Analytics studying customer spending patterns and financial goals so as to offer tailored recommendations in case of Wells Fargo at USA.

· Open Banking API landscape, covering account aggregation for a financial tech company called Revolut from UK.

· AR-VR or Metaverse space with new VR Banking experience for customers of BNP Paribas, France.

This lecture discusses “whether and how” banks are launching or even continue investing in the AR, VR, and Metaverse theme. It assesses whether banks have really moved ahead in their AR, VR and Metaverse projects beyond initial prototypes, as Metaverse was the “talk-of-the-town” for each industry just couple of years ago.

The long-term adoption in critical mass within banking, would always be challenged by regulatory complexities, complex architecture, Return Over Investment (ROI), and the preference of “millennial and Gen Z” generation who are used to two-dimensional mobile banking wallet or mobile app as against the next “Alpha Generation” who are used to the multi-dimensional and visually interactive graphical interface such as Gaming.

As an assessment of the current status, this Lectures gives examples of various global banks such as Citibank USA, Commonwealth Bank of Australia, Widiba Bank Italy, BNP Paribas France, KT and Shinhan Bank Korea, Desjardins Bank of Canada, National Bank of Oman and Kiyaverse, a fintech company of India.

Last decade has seen an emergence of third-party companies proficient in the Information Technology closely working with banking organizations. Essentially, this was possible due to the increasing advent of banking world moving towards Digital orientation from the previous generation human centric orientation. In today’s context, a Bank employs more people with technology skills than the banking skills, and the majority of traditional tasks of transaction and analysis, has already moved towards automation. Slowly in the world of Artificial Intelligence, Machine learning and Deep learning, the core decision making is also helped majorly by the proficiency of banks to adopt to the leading technology enrichments.

Various terms have emerged for these complementary third-party organizations and the popular terms are either Fintech or Techfin. Let us understand the difference between these two terms of Fintech and Techfin.

This reel talks about how AI technology has evolved from traditional AI of 1997 to AI agents of 2025 and how Banks adopted each progress from Traditional AI, Machine Learning, Deep Learning, Large Language model (LLM), Generative AI and AI agents of 2025 using master agents and specialized agents.

This Reel talk about how AI agents are very helpful to the bank and which specific functions. It also talks about the benefits and advantages of having AI agents

AI agents help bank’s call center to respond to customers in areas such as FAQ, Know your Balance, Transaction, product enquiry, branch dispute, employee dispute, Investment advice and many other categories. This reel also talks about how AI agents is progression from the earlier previous generation AI based Chatbots.

This reel gives an introduction to 5 types of AI agents.

This reel explains 5 different AI agent types along with some real-life examples.

World has seen tremendous progress of AI and Robotic era. With driverless Vehicle and Robotic hospitality, is it now a time for banking CEOs to act?   This video discusses the truth and reality behind the anxiety so created.

Banks are increasingly integrating data analytics with AI to enhance operations. For example- 1. Algorithmic trading uses AI to analyze market data and execute trades automatically, as demonstrated by JPMC Chase Bank's use of AI for execute trading automatically. 2. Fraud detection leverages AI to identify anomalies and suspicious transactions in real-time, similar to how TD Bank uses machine learning to detect credit card fraud. 3. Risk management employs predictive modeling to assess various risks, exemplified by OakNorth's AI-driven creditworthiness assessment. These AI-powered solutions enable banks to optimize strategies, prevent fraud, and manage risks more effectively.

This video explores how banks leverage data visualization to analyze multiple functions and operations and ultimately help to take the right decision to enhance the bank’s performance. This video defines data visualization and its benefits in simplifying complex information. It also highlights the key areas where banks utilize data visualization, including Risk reporting and analytics, CRM, Fraud detection, Regulatory compliance, financial planning and analysis, Product development, Marketing and sales and improving overall operational efficiency. It provides an example of a US bank using dashboards to monitor KPIs like NPA, customer satisfaction, and NIM for loan to a specific age group. Finally, the reel touches upon popular data visualization tools and associated technologies like Python, SQL, and cloud platforms blended with AI and API.

A digital twin is a virtual representation of a real-world object, process, or system. It uses real-time data and other sources to simulate the behavior and characteristics of its physical counterpart. Digital twins can be used for various purposes, including predictive maintenance, process optimization, and scenario planning across diverse industries like manufacturing, pharma, real estate, and banking. For example, city planners can use a digital twin to simulate and plan a new city's infrastructure and environment, while banks can create digital twins of customers to predict financial risks. Essentially, digital twins provide a cost-effective and efficient way to analyze and predict real-world scenarios.