Global Banking Technologies in 2022

Banks have been making serious digital waves in recent years. The pandemic can already be considered as a milestone in the evolution of banking, thanks to a confluence of trends that are revamping the industry by initiating business to adapt to the needs of employees and customers, making digital banking the way of the future.

Today, banks have grown more proactive as a result of COVID-19, questioning long-held assumptions and becoming more adaptable and innovative.

Trends that will be most influential in disrupting banking in 2022

  1. Hyperautomation and RPA
  2. Embedded banking
  3. Open Banking – Creating a ‘Digitally Yours’ Ecosystem
  4. Fintech
  5. The rise of Neobanks
  6. Blockchain & Cryptocurrency
  7. Machine Learning and trading

Hyperautomation and RPA

Gartner, an IT research and advisory group, coined the phrase hyperautomation in 2019. Hyperautomation is the process of automating manual operations using advanced technology such as machine learning and robotic process automation (RPA).

According to Deloitte, “using collaborative intelligence, technology and humans work together. Employees can start learning how to use automation and other software. Through Machine Learning, they can get to a state of AI-enabled decision-making. With hyper automation, companies can begin to reimagine work..”

Embedded banking

Embedded banking, which involves banking outside of a bank branch, internet, or mobile app, began to gain traction in 2021 and is expected to continue in 2022. The most apparent illustration of this trend recently has been the purchase now/pay later loans given on shopping websites, but it extends beyond that..

Banks and other financial service providers will aim to present products to customers at the most convenient time for them. Offering mortgages when someone is looking for a new home online, as well as personal loans through home contractors, doctors, veterinarians, and lawyers, are examples of this. It is possible that businesses may be able to open bank accounts through their accounting software.

Open Banking – Creating a ‘Digitally Yours’ Ecosystem

In the banking industry, customers always come first. A flawless client experience not only boosts the bank’s legitimacy, but it also helps to build a lifetime of loyalty across its whole customer base. Following traditional banking intricacies could prove to be damaging to multinational banks’ growth as they seek to improve their customer connection and experience. For the industry, a compelling innovation strategy is unavoidable. And it is here that open banking plays a crucial role.

Open banking, a technology-driven strategy, gives financial ecosystems the chance to ‘innovate continuously’ and market themselves as ‘Digitally Yours’ for their consumers. When banks adopt an end-to-end approach, they assure a successful and long-term customer experience.


A blend of the words “finance” and “technology,” Fintech refers to any company that employs technology to improve or automate financial services and operations. The term refers to a rapidly growing industry that provides a variety of services to both consumers and businesses. Fintech has an almost infinite amount of applications, ranging from mobile banking to insurance to cryptocurrency and investment apps.

Fintech firms incorporate cutting-edge technologies (such as artificial intelligence, blockchain, and data science) into traditional financial services to make them safer, faster, and more efficient.

The rise of Neobanks

The fintech industry includes a considerable part of mobile banking. In the sphere of personal finance, consumers are increasingly requesting simple digital access to their bank accounts, particularly on mobile devices. Almost all major banks now provide mobile banking, thanks to the growth of digital-first banks, or “Neobanks.”

Neobanks do not have physical branches and provide customers with checking, savings, payment services, and loans through a fully mobile and digital infrastructure. Chime, Simple, and Varo are examples of neobanks.

Blockchain & Cryptocurrency

Cryptocurrencies and blockchain are gaining traction in tandem with fintech. Blockchain allows cryptocurrency mining and marketplaces to exist. Both blockchain and fintech are responsible for advancements in cryptocurrency technology. Gemini, Spring Labs, and Circle are some of the most essential blockchain companies, while Coinbase and SALT are examples of cryptocurrency-focused companies.

Machine Learning and trading

Being able to predict where markets will go is the Holy Grail of finance. It is no surprise that machine learning is becoming more prevalent in fintech, with billions of dollars on the line. The strength of this Artificial Intelligence subset rests in its capacity to process huge amounts of data using algorithms designed to detect trends and dangers, giving consumers, businesses, banks, and other firms a better knowledge of investment and purchasing risks earlier in the process.

Digital banking in 2022 is about reinventing how banks engage and interact with their consumers in all elements of their operations, not just new technology or digital services. In 2022, banks will have a lot of opportunity to leverage digital tools and data-driven personalisation to get to know their clients, give them advice, and help them achieve financial wellness.

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Machine Learning in Supply Chain Management

How Machine Learning is Revolutionizing Supply Chain Management?

Machine learning is shaping the way we view and discover patterns in supply chain management. It makes the process efficient by utilizing algorithms that easily identify the vital factors to a supply networks’ success while adapting, learning, and upgrading at the same time.

The ability to discover new patterns in supply chain data can change the dynamics of any business in both the short and long run. On a daily basis, machine learning algorithms are identifying new patterns in supply chain data, in the absence of a manual process.

The machine learning algorithms, query the specific data via iterations with the aid of constraint based modeling to identify the factors and processes that guarantee the highest level of accuracy. All of these have brought about the emergence of new essential factors that have never been conceivable beforehand.

The insight and knowledge obtained via machine learning are reshaping supply chain management as we know it.

When Supply Chain Management and Machine Learning combine, it brings about a transformational change in any business or industrial setting. As mentioned, Machine learning facilitates the generation of patterns of supply chain data.

The machine learning algorithms constantly find new patterns which are important factors in rendering improvements, and learning.

Machine learning has the tendency to create new patterns without any human assistance. The Machine learning algorithms compare and contrast data with other parameters in order to make accurate predictions.

The following are ways via which machine learning is helping to revolutionize supply chain management.

1. Physical inspection and monitoring

Machine learning algorithms now make it easy to carry out monitoring and inspection with human interference. This limits the threats and risk to the supply chain. The Machine learning algorithms collect, compare, and contrast data with other parameters in order to make accurate predictions.

One of the strengths of machine learning is to recognize visual patterns, and as such, inspections, and monitoring is made easy.

2. Reduction in cost

A drop down in cost doesn’t equate a reduction in quality. Through responsive data analysis, machine learning minimizes risk and facilitates on-time demands at a reduced cost. Machine learning eliminates the dependence on human factors, thereby reducing project completion time, and also reduces cost.

3. Enhancing the life of the equipment

Machine learning plays a positive role in increasing the life of supply chain equipment. The combination of machine learning and the Internet of Things sensors leads to the creation of new patterns that are equipment friendly.

Here are some helpful resources:

MBA in Agile Supply Chain Management

Supply Chain Certification Programs Online – APICS