Who Can Do Financial Modelling Course?

What is Financial Modelling?

Financial modelling is a way through which models are created that contains summarised information on company performance. These models give us inn detail analysis of any particular decision and its impact on the financial status of the company/firm. Any particular fiscal term or financial decision is displayed quantitatively with the help of data/information.

It helps any company to predict/change their future decisions accordingly. A lot of attributes like company forecasting, corporate accounting, decision analysis, etc. are included in financial modelling. In this article, let us see who can take up a course in financial modelling, and what would be one’s expectations?

Who is Eligible for a Financial Modelling Course?

There are no such strict guidelines for taking up this course. One can be a graduate from any particular stream and can take up this course. It is better if someone comes from an accounting background as they will have the prerequisites about accounting & finance analysis which will work as a base for financial modelling.

A lot of work is done on excel or spreadsheets which help in creating a quantitative description of any financial activity. One can find a plethora of courses on the internet and can choose the suitable one. On average, one can complete a financial modelling course in one to three months depending upon the course length.

Key Skills Required for Financial Modelling

Choose a financial modelling course which covers the mentioned topics/skills as these are the most required skills for financial modelling –

  • One must be able to work on excel fluently.
  • Good accounting skills are required, one must be fully aware of concepts like account statement management, depreciation, revenue recognition, etc. You must be able to read/understand/dissect/manipulate financial statements. You must be able to link the income and cash flow statement with the balance sheet.
  • To create a good financial model, one needs to have good forecasting skills, a problem-solving approach, etc. One must be able to present his/her work in a detailed way.
  • Good designing skills on applications which are used to create financial models like excel, spreadsheet, etc. The usage of graphs and analysis helps in making the presentation better.
  • You need to be aware of various types of financial models like DCF analysis, 3 statement model, Sensitivity analysis model, LBO model, etc. One must know about the situations in which these types of models are used.
  • You must have the ability to narrow down a problem into models. You must be able to simplify a problem.

Some key points on financial modeller:

  • There is a lot of demand for a financial modeller. According to statistics, the average salary of a financial modeller in India is 9-10 lakhs per annum.
  • Besides Investment Banking, financial modellers are demanded in Private Equity, Venture capitalist, Corporate development, Real estate development, etc. There is a lot of diversity in this field and can choose according to his/her preferences.
  • It would be a lot comfortable if you are a finance graduate as it will help you in grasping things faster. However, anyone can take up a financial modelling course at any physical institution or an online course like Wall Street Prep, Breaking into Wall Street, Coursera online courses for financial modelling, etc.

Conclusion

Financial modelling is used a lot by firms/companies to forecast their future financial decisions. These models help in finding an in-detail analysis of any financial decision and its loopholes. There are plenty quality courses available online. This article was all about financial modelling and who is eligible for it. I hope it helps!

Investment Banking Current & Future Challenges & Changes

Regulatory Challenges

IFRS 9 is an international standard set by the International Accounting Standards Board (IASB) which focuses on financial instruments. It is a complete set of requirements and constraints which are to be met by the banks. This results in a lot of complexity and adjustments for investment bankers. The international regulatory organization BASEL has also increased the minimum capital requirements for banks from 2% in BASEL II to 4.5% in BASEL III. These adjustments sometimes come harsh on the banking sector and change the business behaviour of many financial institutions.

Cross-selling

Investment banks are required to collect information on their clients and measure their satisfaction level. In this era of competition, banks have to come up with new services every now and then for their existing clients in order to plant the seed of loyalty in their clients. In order to remain competitive, there is a lot of diversity in the services offered by the banks. To manage the needs of all the clients and then coming with new services accordingly is a tedious job and a challenge in the investment banking sector.

Profitability issues

The introduction of BASEL III has hampered the product profitability a lot. These shifts and changes also affect the structured derivatives and profit or return of equity (ROE). Banks have to constantly dig into their system and find out the loopholes and have to get rid of unprofitable transactions and services. The capital management has to be accurate as we all say ‘Capital is scarce’.

Cross border activities

Many financial institutions are known for providing services globally, global banking is a trillion-dollar industry in the current era. But these cross-border activities are not easy. You must have heard about the disadvantages of recently famous cryptocurrency Bitcoin. Blockchain is another method used for cross border payments but its trustworthiness is always questioned. There is always vulnerability from theft and fraud. Also, major disruptions and changes come to end investment banking because of cross border activities. A good investment banker needs to adapt and cope up with these changes.

Cost optimisation

The governmental formalities and laws are to be followed very strictly by the financial institutions. The recent laws and the ROE hits have forced bankers to optimise their production costs. The cost of services that are to be offered to the clients must not end in loss. Investment bankers have to do risk analysis and cost management.

Increase in Digital banking

Digital banking is growing more than ever. To transform and adapt to this pace is very important for the banks.

Cybersecurity

There are various types of cyber-attacks and the financial institutions are always vulnerable to such theft and fraud. There must be strict network security algorithms installed in the bank servers. If the banks have to transform in this era of digitisation, they have to cope up with the flaws.

Non-cleared derivatives

Banks have to settle all the derivatives in order to sustain. But the collateral damage suffered by the financial institutions makes it even tougher to deal with such unsettled derivatives. They have to implement a standard model to deal with OTC derivatives, this model should be proposed in such a way that it helps in identifying disruptions and helps in dealing with collateral damage.

Conclusion

You must have heard about the foreign financial institutions catching the ‘Fintech Fever’. Often, we can hear owners of foreign banks saying it is a threat to centralised banking. They have to cope up with all these cross-border activities and disruptions. Ranging from inflation to cyber threats, there are a lot of challenges faced by the investment bankers. In India too, these challenges are faced by the investment banking sector. But then again, the investment banking sector is very profitable if managed well. A good investment banker must know the ways of dealing with these challenges. This article was all about current and future challenges and changes in the investment banking sector.

Also Read: Misconceptions About Investment Banking

What is the Scope in Financial Modelling?

In the past two decades, the scope and purview of jobs in the financial services industry have broadened. If you want to build a career in finance but don’t want to take the mainstream route, financial modelling is for you. It’s different from the usual account and audit jobs. It requires evaluating data and creating financial models to make the future forecast and predict the movement of the market in times to come. Before jumping into the details of the scope of financial modelling, let’s understand what is financial modelling.

Understanding Financial Modelling

In simplest terms, financial modelling can be described as the practice or process of summarizing a company’s expenses and income in the form of a spreadsheet that is used to compute the impact of future events and business decisions regarding company’s finances. A financial model is built to highlight the performance of a company that will help analysts to identify present challenges and provide solutions accordingly.

Financial modelling is used mainly to analyze the stock performance of various companies and to evaluate the probable impact of future events on the performance of stocks. It is used to represent the operation of the company statistically. The main purpose is to help improve financial decision making by evaluating a large amount of data. Data-backed decision making has been the norm in today’s business landscape.

In addition to this, financial modelling tools are also used to estimate the valuation of a company and compare it with the other players in a similar domain. It is used in strategic planning as well and other purposes like computing the cost of new projects, allocation of corporate resources, budget decision making, etc. Whenever a company plans to expand its business or undertake a new project, it evaluates the feasibility of these projects using financial models.

The Scope of Financial Modelling

The scope of financial modelling is increasing by the day as more and more companies are relying on good structure financial models to predict the financial future of companies. It is not necessary to have a degree to get a job in the field of financial modelling. You can get trained by opting for a financial modelling course that will give you a comprehensive understanding of the market and how financial models work. Opting for a financial modelling course is helpful as it allows you to stand out from the competition by providing your will relevant and precise information about the industry.

Financial modelling services are data-oriented, it helps businesses to effectively analyze and make sense of data leading to more effective decision making. Financial modelling professionals have a plethora of opportunities and are hired by research firms, banks & financial institutions, credit rating agencies, insurance firms, etc. Given the significant role that data plays in the contemporary business landscape, most companies have vacancies for financial modelling experts.

If you are already in the finance or related segment, learning financial modelling will add a whole lot to your skill sets and boost your career prospects. Employers prefer to higher people who have financial modelling skills over those who don’t possess the same given the growing demand for financial modelling professionals. Financial modelling skill is a must-have if you are planning to start a career in investment banking, equity research, corporate finance, real estate, commercial banking, venture capital, etc.

Conclusion

Financial modelling skill is a high demand in contemporary scenarios where businesses rely on data science to create financial models and predict future trends. It has a lot of scope in a variety of finance and related segment and is very different from the traditional accounting and audit jobs. It is among the most promising career options for those who have an interest in building financial models and data analysis.

What is Differential Deep Learning?

Introduction

The world today has changed drastically. Therefore, it is important to change according to the environment in which we function. One such major change has been brought about by the advent caused by Artificial Intelligence.

Deep learning is a concept which has come around from artificial intelligence. It has been adopted by a lot of companies who want to automate their processes and make things easy. Also, people have started transitioning to deep learning to cut their losses and maximise profits. Therefore, deep learning is creating a lot of jobs in the market.

So, you can take up a Deep Learning course to increase your employability.

Understanding Differential Deep Learning

Deep learning is a way of implementing mathematical methods in the day to day working of a company. Numbers change every day. In most cases, we have to do these changes manually. With deep learning, you can keep a tap on the numbers without any additional effort.

With Deep Learning, you can formulate different algorithms to make your job easy. Deep Learning provides you with the ease of making predictions about future rates and prices based on the past and current trends and also on the market situations at different points of time. It provides ease of calculating and predicting values even if the market is volatile. Deep learning increases the analytic speed and efficiency of any company.

With proper Machine Learning training, you can design different algorithms for a different set of problems with which the company deals. Application of Deep Learning brings in automation which drastically improves the performance of any system is it calculating the sales value, keeping a tap on the generated leads, making a financial analysis, etc.

Differential Learning principals can be applied to different machine learning algorithms. Also, once you are well versed with the working of differential learning, you can try your hands on any machine learning language. It is going to be easy for you to understand.

You can apply Differential learning in models like regression, Principal component analysis, etc to get the best results. Also, differential deep learning is effectively used in the field of Finance. This can be used to develop a mechanism on pricing.

You can also use this to manage and assess various risks. Differential deep learning is effectively used to produce different models for closed-form solutions. Various Risk management metrics like hedge strategies, etc can be easily generated with the help of deep learning.

Uses of Differential Deep Learning

  1. It is used for developing different machine learning models where these algorithms are built to give results on different sets of inputs.
  2. Differential deep learning is being widely used in the field of risk management. With the use of different models, you can assess the situation at different values,
  3. It makes use of Automatic Adjoint Differentiation which can calculate changes and derivative sensitives quite easily.
  4. With Differential deep learning various fast pricing analytics can be formed which can be used to compute the metrics of risk management at different sets of information
  5. It is used to extract important estimations and values even when small data sets are available. Using differential deep learning can bring you to a conclusion very easily.
  6. It replaces the frequent interference of humans which was a prerequisite earlier. Differential Deep learning creates a system which is automated and reduces the cost of labour to a great extent. This system reduces the chances of errors drastically.

Conclusion

Differential Deep learning has changed the way we use our data. It has made the application of Machine learning possible. Also, with the help of this, companies are moving towards a fully automated world.

Career Advice: Financial Planner or Wealth Manager!

Introduction

A financial planner and a wealth manager both come under financial advisory jobs. A financial planner helps in managing day to day finances of their clients whereas a wealth manager helps in preserving the current wealth and adopting sustainable development so that the financial resources may be preserved for the future.

There are a lot of differences in both these job roles and similarities too. It is up to one’s interests and capabilities that which one he/she chooses. Let us see both these careers in detail and compare them.

Job Roles

Financial planners are concerned with lifestyle planning. Their target audience is generally middle-class people or low-level companies. They help people in meeting the ends and give them advice on how to invest money in their lifestyle while saving too.

Wealth Management coursesTheir job duties include saving money for college, budgeting, retirement planning, insurance planning, etc. Their clients are normal people who want to use their income in a planned way so that they could achieve their life goals or some short-term goals.

A wealth manager on the other hand deals with HNI (High Networth Individuals) clients or Ultra HNI clients. A wealth manager helps rich businessmen/people to preserve their wealth and adopt a sustainable development process. A wealth manager analyses the market and advises his/her clients on investment opportunities. They are involved in chores like capital/revenue planning, estate planning, risk identification & management, etc. They help their clients in identifying the risks of investing in any new venture. They help in sustainably using financial resources & services.

Education & Skills Required

Wealth managers & financial planners tend to do a bachelor’s degree in economics, accounts, finance, or mathematics. However, the certification courses vary for them. A wealth manager generally does a CPA (Certified Public Accountant) course whereas a financial planner prefers a CFP (Certified Financial Planner).

Wealth Management coursesThere are a plethora of Wealth Management Courses available on the internet. However, any professional in the wealth management or financial planning sector can do both of these certification courses as there is no necessity for any one of them for getting a job. These certification courses boost your skills.

The skills needed are almost identical in both sectors. The major skills needed in the wealth management & financial planning sector are analytical skills, market analysis skills, communication skills, forecasting skills, networking skills, etc. As a wealth manager, you will need to have a large network of HNI or Ultra HNI clients in the market as compared to a financial planner.

What to choose?

If you have a natural market of HNI/Ultra HNI clients, then go for a Wealth Management Career otherwise you can opt for financial planning. Wealth management requires more networking skills than a financial planner. The salaries of wealth managers are also higher than those of financial planners.

The best criteria would be to aim for a wealth manager and if things don’t work out then go for financial planning because the skills & education required are almost identical in both fields. This was all about career advice related to wealth management & financial planning.

Top Big Data Analytics Challenges in Health Insurance!

Have you ever wondered that by the end of 2025 there will be more than 200 Zettabytes of data available in global cloud storage?

This ever-increasing data is either available in an unstructured or semi-structured form. The health insurance sector is one of the major contributors to this global data.

The rapid digital transformation of the insurance sector is powered by artificial intelligence, machine learning and predictive analysis. Big data in the field of health insurance has started playing a crucial role.

In order to transform the unstructured data into a structured one, organizations need detailed algorithms. Trained professionals from the field of data analytics can build and apply these algorithms in a strategic way to make the best use of the data.

Big Data Analytics Courses in India

There are no two ways that data analytics is transforming the insurance sector at a much faster pace, yet the unique nature of the health insurance market poses many challenges to meeting the requirements. If you are looking to make your career as a data analyst in the health insurance sector, you should first understand some major data-related challenges existing in the health insurance sector.

In order to facilitate flawless services, two major challenges faced by the health insurance sector are Regulatory compliance and data integrity.

Regulatory Compliance

Most of the challenges in any process which is governed by rules and regulations majorly set by the state are the matter of regulatory compliance. Even the slight shift in the set of the state and the federal regulators may result in a major shift in terms of execution and thus always having a close eye on the latest developments has become the need of the hour.

One such regulatory Act in the health insurance sector is the Health Insurance Probability and Accountability Act (HIPAA). Despite the understanding of HIPPA’s privacy policies, very few insurers are aware of its data security and protection.

For example, e-PHI contains the electronic records of personal health information as guided by HIPAA’s security rule book. These guidelines ensure the insurer will maintain the confidentiality of the data they receive through e-PHI.

In order to safeguard crucial and confidential data, insurers need to identify and protect the data from potential threats and need to ensure that the entire workforce during execution follows all the compliance.

Data Integrity

Data integrity is not a very new challenge, many solutions to it exist, but the lower standards in terms of quality can cause major issues.

The main challenges related to data integrity lie in the health reports of patients. To deal with these challenges, special data understanding is required. In addition to this, the nature and scope of the patient-provider relationship lie in precisely capturing the events such as illness, diagnosis, prescription, claims, etc.

The problem lies in identifying the policyholders who are not in active engagement with the insurers. Another related problem lies in identifying the policyholders who stop filing prescription-related claims.

What would a Data Analyst do to overcome these challenges?

Big Data Analytics Course in IndiaIf you are looking for some data analytics courses in India, to build your career as a data analyst in the health insurance sector, you can contribute at every stage, right from data mining to data architecting to statistics.

Data analysts design the required infrastructure that suits the organizational requirement of data integrity and compliance dynamics. Data analysts play a crucial role in designing independent systems which help them analyze the data, engineer the data and eventually get the best out of the data.

To get a clear sense of what data analysts do, we should see data analysts as data architects, data scientists, data engineers, and statisticians at different phases of the project.

If all this information regarding big data in health insurance has piqued your interest, you must research more about the data analytics courses in India which would provide you with the next steps to get that much closer to becoming a full-fledged data analyst yourself.

Join the latest webinar on this for FREE

https://imarticus.org/Learn-Data-Analytics/

5 Must-Watch Movies That Every Aspiring Finance Professional Must Watch!

A finance professional is a person who is responsible for guiding the clients to plan their finances and also comes up with good strategies on investment, thereby helping them manage their wealth in a better way. They can also be considered as Finance Advisors since they also evaluate tax and investment-related aspects for their clients.

To start a career in the field of finance, one must have a bachelor’s or a master’s degree in finance and have a good hold over subjects like mathematics, accountancy, economics, and auditing.

 What are the career options after graduation?

Many students after having completed their degrees in Finance get confused and wonder what are their career options after graduation. It is a vast field with unlimited opportunities that promise a bright future. For Finance aspirants, there are many options in the investment banking industry.

Best Investment Banking Course with Placement in IndiaInvestment banking is one of the best and sought-after careers in finance. It can change one’s career trajectory and promises a lot of growth. For better guidance, here is the certificate in Investment banking details:

The CIIB (certificate in investment banking) is an extensive certification exam designed to test one’s understanding and in-depth knowledge of investment banking. The course covers everything from the basics of investment banking, mergers and acquisitions, corporate actions and restructuring, and financial statement analysis.

One can also take up a career in Risk management where one is required to have the ability to minimize the risk factors involved in investment and maximize returns for the clients. Apart from these options, there are many other opportunities too like, Portfolio management, public auditing, and corporate finance.

Other courses that one can do to hone their skills in the field of finance are accountancy courses, wealth management, banking courses, tax qualifications, etc. Finance professionals are required to have experience and the best way to gain experience is by taking up internships and learning as much as one can.

To be a successful finance professional, one must acquire the following skills:

  • Should have an immaculate knowledge of accounting and economics
  • Possess analytical skills
  • Good business management skills
  • Be a leader
  • Mathematical knowledge
  • Should be well versed with using computers and the required software
  • Have a keen eye and pay attention to detail

The world of cinema has often produced many movies inspired by the lives of finance professionals and there are some amazing movies that have created a lot of buzz in the past. Some are dramatic while some are comical but it is interesting to have a sneak peek into the life of finance or a business professional. Here is a list of the top 5 must-watch movies for finance professionals:

Boiler Room:

The Boiler room is a must-watch for everyone who is planning to try their luck in the stock market. The film deals with the protagonist’s wit, intelligence, and good stock brokering skills that get him a good position and respect in life but soon due to his greed and unlawful tactics he is on the FBI’s wanted list.

Margin Call:

This movie is about an investment bank dealing with the 2008 financial crisis. One of the best movies ever made about the financial crisis, it is engaging and smart. It highlights how not just physical but psychological factors bring down a company. One lesson to take away from this movie is to learn how to handle a company when it’s at its weakest and suffering through a crisis.

Wall Street:

Perhaps the finest movie ever to be made on the finance industry, the movie follows the story of a young man who has just started as a stockbroker and starts learning the ropes of the stock market. By watching this movie, viewers can learn the basic functionality of a stock market.

Rogue Trader:

The movie is about an investment banker and how the oldest bank of Britain goes bankrupt because of him. The lesson learned is that no single person can be given the responsibility of making a business successful and that companies must have a logical and disciplined investment plan to avoid losses.

The Wolf of Wall Street:

This list can never be complete without mentioning one of Leonardo Di Caprio’s best works to date. The Wolf of Wall Street is a comedy movie but shows the shrewdness and unethical ways in which the protagonist makes his way to the top and is eventually caught.

There are business lessons to be learned like loyalty and trust between the boss and his employees, something which is very important in the corporate world. The movie is a laugh riot with some very powerful performances.

How Imarticus Helps The Young Adults Towards ‘on the job’ Learning With Their Future Education Plans?

Imarticus Learning is a privately held education company located all over India, holding expertise in technical learning. This education company offers classes on various domains through both physical classrooms and virtual online mediums.

In today’s technology-driven world, holding onto a job with hectic timings and updating yourself through education to achieve career growth has become a necessity.

What Imarticus has to offer:

Imarticus offers ‘On the job’ learning with various benefits. For professionals with full-time jobs, this education company provides well-organized sessions through E-learning. The education programs aim to train learners to gain in-demand skills, extract insights, and improve decision making.

The courses are tailored by experts to give hands-on knowledge and experience via industry-specific projects and a cutting-edge curriculum developed following current trends that meet the organization’s and employee’s needs.

With over 3000 hours of developed E-learning classes, they offer a variety of E-learning solutions to educate anyone on a variety of expert fields. They have a capable team equipped with the experience to provide solutions through E-learning classes.

Program features:

The course consists of skill retraining and upskilling, keeping in mind the current requirements of the industry. It comes with a legion of program features like mentorship, integrated LMS (learning management system) which promotes self-paced learning, delivery of learning hours with a team of E-learning professionals, high learning engagement, and post-training evaluation.

These programs help in developing critical thinking, retraining, knowledge enhancement, and strategic development.

Data Science CourseThey also conduct skill assessments and competency mapping so as to create a comprehensive learning framework to prepare the new employees and also the existing employees with relevant future skills, dedicated delivery analysts, and account managers to ensure seamless delivery of training.

Other benefits:

‘On the job’ learning through specialized Imarticus E-learning also promotes various other benefits to the learners.

  • Flexibility:

It is far easier for the students to hold on to online learning than traditional classroom learning, especially for professionals with hectic schedules. A stable internet connection and a computer are the only requirements to turn any place into a classroom.

  • Accessibility:

These E-learning courses are accessible from all around the country, so even if you are out of the city for work purposes, you will still have continuous access to classes, which would not be possible otherwise.

  • Range of specializations:

For the job holders who are looking to improve their skill set through online learning, thousands of hours of useful content that can strengthen their knowledge and skill base is always available. They can choose the best suited to their domains.

  • Cost-effectiveness:

The options of E-learning are much more economical than classroom training methods. In today’s economy, where job losses and pay cuts are normal, the students can still be assured that their education will not be affected and, in turn, their careers.

Conclusion:

The global demand for online training programs has increased a lot in recent times. The field of online education has been observing fast growth because of the need to upskill or retrain skills. It’s a boon for anyone looking to progress in their career.

Blockchain Technology in Banking & Finance!

Traditional banking & finance processes have evolved a lot with the emergence of new-age technologies. Blockchain is a powerful decentralized technology that is revolutionizing the banking & finance sector. Many financial institutions in India are investing in blockchain technology to gain long-term profits.

Blockchain has helped in data transfer between banks and respected parties by providing a decentralized ledger. There is no central controlling authority in blockchain technology but it doesn’t compromise its security. Read on to know more about the use of blockchain technology in banking & finance.

What exactly is Blockchain?

Blockchain is a special type of database that stores data in blocks and then links (chains) them together. The information then can be accessed by everyone but can’t be altered. The data/information is stored in chronological order in the blockchain. It forms a secure medium for storing transactional data & cryptocurrency processes. Let us see how blockchain assists in the transaction process.

Blockchain Transactions

Below are the steps of how blockchain completes & stores a transaction:

  • Upon entering a new transaction in the blockchain, peers of systems scattered over various geographic locations start verifying the transaction.
  • Once the verification of data is successful, it is transferred to a block. A block has finite storage & it clusters various transactions together.
  • If the space of a block is full, the information is stored in the next block. Various blocks are then chained together forming a ‘blockchain’. The coupling of blocks will create a long ledger that is permanent.
  • Upon successful coupling of the transaction into blockchain, your transaction will be completed. You can backtrack your transactional data whenever needed.

Use Cases of Blockchain in banking & Finance

Various applications of blockchain in banking & finance are as follows:

Blockchain has reduced the charge per transaction in cross-border payments. Banks are using blockchain to make cross-border payments faster & secure. Besides cost optimization, it also helps in increasing transparency.

  • Blockchain has enhanced the contract system of financial institutions. Besides transactional data, blockchain can store any kind of digital information. It is being used by the banks to create a smart contract system between parties where the money will be released upon meeting the contract criterion.
  • Apart from maintenance costs, banks are using blockchain to lower the security budget too.
  • The processes involved in bookkeeping can be paced with the help of blockchain.
  • Money laundering has been lowered in banks with the adoption of blockchain technology. It has also helped banks to comply with the regulations.
  • Blockchain is popularly being used nowadays for cryptocurrency processes. It creates a safe platform for cryptocurrency transactions that is immutable & decentralized.
  • Dispute resolution in banks is enhanced with the help of increased transparency (history of transactions) provided by the blockchain.

Blockchain in Fintech

Fintech services have disrupted traditional banking processes. Fintech has aided in providing financial services to people via technology. Some of the prominent applications of blockchain in the fintech industry are as follows:

  • Blockchain assists with processes in the fintech industry like digital ID verification, insurance, authentication, etc.
  • Blockchain helps in the reconciliation of payments a lot better than existing methods.
  • Fintech firms use blockchain to generate and store the credit score of various consumers.
  • Fintech has helped in eliminating audit trails & middlemen. It also assists with the supply chain management process.
  • KYC (Know Your Customer) process is also done with the help of blockchain in the fintech industry.

In a Nutshell

You can learn more about the application of blockchain in the banking & finance industry via the courses offered by Imarticus Learning. Imarticus will offer you various courses like investment banking courses, fintech courses, etc. to discuss the use cases of blockchain in the industry. Banks are looking for skilled blockchain professionals to enhance their banking processes. This is the right time to build a career in the banking industry as a blockchain expert. Start learning blockchain now!

How the Indian Government’s AI Website Will Help the Country’s Artificial Intelligence Industry?

Collaboratively developed by the National Association of Software and Service Companies (Nasscom) and the National e-Governance Division of the Ministry of Electronics and Information Technology (MeitY), the portal is intended to be a one-stop-shop for all AI-related developments to happen in India.

The portal will also distribute documents, case studies, research reports and more relating to AI, and will also become a repository for AI-related learning job roles.

Noteworthy Resources On the Website

  • AI Courses

In order to help professionals and fresh graduates upskill, a variety of AI-related and machine learning courses are being offered through this government portal. The course providers range from IIT Bombay to companies such as IBM.

  • Editorial content

In order to collect all related information in one place, the website publishes editorial content and news as well as case studies and resources for budding AI entrepreneurs.

  • Highlighting successes

The portal also aims to highlight the country’s successes in AI in the recent past, spanning industries and use cases.

How the Website Will Help India’s AI Industry

The website is a distinctive step forward in recognizing the potential and scope of AI in India. Here are some ways in which the website can benefit the AI landscape at national and grassroots levels:

  • Democratising AI

Sanjay Dhotre, the MoS for E&IT, Communications, and HRD, said that digital innovation, including AI, has been a massive equaliser among the Indian population despite the diversity of the country. AI has already penetrated several homes; in the future, this website hopes to bring AI to virtually every part of the country and expound on its benefits in a growing economy.

  • Cementing India’s Place in the World

This public declaration of support towards Artificial Intelligence developments is a solid way of confirming to the world that India is investing in the technologies of the future. India has already supplied global leaders in technology to different parts of the world. By funding this AI website and encouraging its use, the country is making its way up the list of countries with one eye on the foreseeable future.

  • Encouraging Innovation

By making case studies, courses and resources accessible to the masses, the AI website is, in effect, encouraging each and every citizen to experiment in the field. There is no dearth of innovation and ideation in the country; this website becomes a place for resources to support the realization of AI-related dreams and the furthering of the country’s technological goals.

  • Building Networks

The website is touted as a convergence point for students, fresh graduates, AI experts, experimental businesses and new-age entrepreneurs to share and transact over revolutionary AI-driven ideas and proposals. The website also becomes a launching pad for innovation and a networking platform for those with ideas and those with the power to fund them. The departments are also working on creating investor pitch events to link ideators and funders alike.

  • Preparing the Future Generation

Alongside the website, the departments also announced the Responsible AI for Youth Program which is targeted at imparting AI education in government schools. The different phases of the programme aim to train teachers and gather groundbreaking ideas from the students themselves. Keeping in mind that India is one of the most populous countries in the world, instilling an understanding of AI and a passion for innovation at a young age is critical to the growth of the country internationally.

Conclusion

The AI website can be looked at as a show of support towards futuristic technologies that emerge from the grassroots level. By attempting to democratize AI, this government website is also creating a conducive atmosphere for technological growth on par with the rest of the world.