On March 2, 2017, Imarticus Learning will host an online panel discussion to discuss the rise and future of Financial Technology. The Symposium will feature prominent leaders in the banking and technology industry. Register Here.Learn more
It seems that the sector of financial technology, which was touted as many as the new kid on the block, has had a fair share of failures. Some of the big guns in this field including OnDeck and Lending Club have reportedly experienced some mighty losses and organisations like CAN Capital stopped lending altogether. There seem to be a lot of experts and industry pundits, who are all of the collective opinion that “the bloom is finally coming off the rose.” This happens to be a figurative telling of the certain bumps and losses incurred by this field. But a majority are still siding with the silver lining and it may seem that this sector might really be thriving. The recent events are not news for the FinTech industry, which is because every single industry undergoes them. Regardless of whichever sector it is, the market leaders usually happen to jump to an advantage.
But a majority are still siding with the silver lining and it may seem that this sector might really be thriving. The recent events are not news for the FinTech industry, which is because every single industry undergoes them. Regardless of whichever sector it is, the market leaders usually happen to jump to an advantage, thus leading to the growth of the industry. Now, that the industry grows, it also multiplies the number of players entering into
the market space. Some players happen to participate in the distinct competition as their ventures grow and as is the case, some players cannot really make it. It’s the most basic rules of capitalism, where although all entrepreneurs take risks, some may succeed while other may miss the mark.
FinTech is most likely thriving mainly because it happened to extend its capital access, to almost everyone. Per say, there were no discriminations whatsoever as minorities, women, immigrants and all the others who were under served, were provided with a level playing field by technology. This could not have been a plausible scenario a few decades ago when one could meet a venture capitalist at a cocktail party and get themselves a six figure financing deal. While people who were natives and higher up on the societal runs totally got to benefit from this, those of lesser economic means always struck out.
But today with technology advancing, lenders are able to have accurate data about their potential borrowers. This way the risk factor goes really down and efficiency increases. Similarly, FinTech has begun to take India by storm, by revolutionizing the electronics payment industry. It cannot be denied that banks are slow when adapting to change which is why it takes a while for FinTech companies to break into the market. But another thing working in favour of this sector is that the investors have short-term goals, thereby they’d want to quicken the process of things while expecting quarterly results.
But most important of all, we cannot overlook the fact that technology has transformed the banking sector thoroughly. Today it is actually possible for a person to never step inside a bank to carry on their personal transactions. We happen to live in a time where you can actually accomplish everything at the click of a button. With large banking corporations investing in technology to make most of their application processes to go online, there is a sure chance of FinTech not only thriving, but becoming a flourishing business. Many finance aspirants have noticed this and have begun to learn the ropes by taking up training programs, offered by professional training institutes like Imarticus Learning.
Imarticus Learning teams up with leading Global FinTech players to bring to you a first-of-its-kind Global FinTech Symposium. FinTech, or simply put, Financial Technology, is an industry composed of start-ups and established companies trying to replace or disrupt traditional financial processes with the use of technology.
This is an upcoming industry and has the potential to impact every single person and therefore makes it one of the fastest growing areas for venture capitalists. We welcome you to join this FinTech consortium where our panelists from global organizations will share their journey and experience on what it takes to excel in the world of FinTech.Learn more
What is Trade Finance? This concept basically revolves around products and services, which are used for ensuring two things. One, that the exporter is paid his dues and the other, that the importer gets the delivery. Distributive trade, one which involves a buyer and seller is usually the one which is involved with the concept of trade finance. One of the reasons for the introduction of trade finance could be the fact that, today’s world is a more connected one and with more connections comes a great amount of financial uncertainty. In such a volatile world, it always serves better to protect oneself against any kind of commercial or political risks.
Trade Finance at its essence, has been existed for thousands of years and it can very well be traced back to the times earlier days, of Silk route. It existed since long ago, from before the times that economic imperialism came into being and England set out to make its colonies. As surprising as it may be to believe, but it existed well before the stock markets came into being. Cut to the present times, where this is a tremendously thriving, multibillion dollar business. This may be a result of the fact that the world has begun to trade on a greater scale, everyday sees more and more commodities being bought and sold in the markets. This results into more and more banks and companies having to lend money, in order to keep the steady flow of the global supply chain.
So now that we know what trade finance is all about, let’s focus on how and why is it so important. Let’s take an example. Imagine yourself to be a coffee trader in today’s times and where else would you find the best in class coffee beans, but in Africa. But, you stay in India, so then how would be able to function as an International buyer? More importantly who will give you money, in order to purchase from the natives in Africa? How will you be able to finance all of your transactions, in another currency in addition to being able to successfully pay all those native traders? The answer to all of these above questions would be a trade finance department. This department of a financing firm would deal with all your financial transactions and thus would ensure the development of your business.
Any good or service at the very basic level, have their own underlying value and a bank is very well able to offer a loan against the collateral value of the good. The bank would be comfortable with offering you financial help, as long as the structure of the deal would be helpful and advantageous to the bank. As a whole, the business of trade finance is not very complicated, but on the other hand the structures which form an essential part of trade finance usually tend to be a bit more complex.Learn more
The best possible example of the usage of big data analytics can be found in the legendary fictional works of Sir Arthur Conan Doyle. Sherlock Holmes, as we all know him today through the famous crime detective show, Sherlock is said to be one of the biggest patrons of this concept. The world’s first consulting detective, Holmes once said, “It is a capital mistake to theorize before one has data.” These words uttered during the case of A Study in Scarlet, hold true as data proved to be his timely assistant in solving extremely difficult cases, by helping him come to perfect deductions.
As we accumulate more and more of this data, we feel the need to have optimal processing skills and analytical capabilities in order to process it. India, as a country has been making a lot of growth with many government agencies and private companies, getting on board with the data analytics revolution. Continuing in the same vein, the Comptroller and Auditor General (CAG) has also put together the ‘Big Data Management Policy’ for Indian audit and accounts departments, in order to foster the use of data analytics and ensure the improvement of their functions. Many more efforts are being taken in the same regard, like for instance the Centre for Data Management and Analytics (CDMA) has been inaugurated, in order to synthesize and integrate relevant data for auditing process. The aim here is to exploit data rich environments, on both the state level as well as the central level in order to develop the audit and accounts department.
Data has always helped humans in increasing the level of their decision making skills, in every field of medicine, science, and technology. The recent couple of years saw a great surge in the availability and accessibility of Big Data and its storage options. With big data coming to the fore, it has begun arriving on the scene with alarming velocity, volume, and variety. With so many technological advancements revolving around the accessibility and storage, have led to the opening up of new and empowering possibilities.
On the other hand, there are DISCOMS, which are set up for capturing all the data from the sensors, which are installed in order to analyse the power usage patterns, so as to put together preventive measures for Aggregated Technical and Commercial losses. All the cloud based and predictive analytics solutions given by industries in retail, telecom, and healthcare, have collectively resulted in the rapid growth of the country’s industry and economy. Today as it stands, India has about 600 data analytics firms, in addition to the 100 new start-ups, that have been set up in the year 2015. This clearly reflects on the demand for data scientists in the not so far away future. This is why a number of students have been attracted to the field of data science. As not many generic educational institutes are able to provide the required training, many candidates seek help from professional training institutes like Imarticus Learning, which provide a number of industry endorsed courses in the field of Finance and Data Analytics.Learn more
The field of Artificial Intelligence seems to working on a winning streak. In the year 2005, the U. S Defence Advance Research Project Agency, held the DARPA Grand Challenge, which was supposedly held to spur development of autonomous vehicles, basically in order to make self-driven, smart cars. This challenge was taken up and successfully completed by 5 teams. In the year 2011, in a great competition of Jeopardy, the IBM Watson system, was successfully able to beat two long time, human champions of the same legendary game. Another great win of technology over the human race would be in the year 2016, when Google DeepMind’s AlphaGo system was able to successfully defeat the world champion of Go Player, who was reportedly the world champion for 18 consecutive times.
While these feats of technology over the human brain are extremely commendable, today the long surviving dream of humans, which basically revolved around developing technology to control their surroundings, has finally come to fruition. This has resulted in the form of Google’s Google Assistant, Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa. As a result of all of these AI (Artificial Intelligence) powered virtual assistants, people are able to make greater use of technology in order to live better lives.
Artificial Intelligence is considered to be a field of computer science, which is entirely devoted to the creation of computing machines and systems, all of which are able to perform operations that are similar to human learning and decision making. According to the Association for the Advancement of Artificial Intelligence, AI is, “the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.” While these intelligence levels can never be compared to those of the humans, but they can certainly vary in terms of various technologies.
Artificial Intelligence includes a number of functions, which include learning, which primarily includes a number of approaches such as deep learning, transfer learning, human learning and especially decision making. All of these functionalities can later help in the execution of various fields such as cardiology, accounting, law, deductive reasoning, quantitative reasoning, and mainly interactions with people, in order to not only perform tasks, but also to learn from the environment.
While the recent changes may be extremely mind blowing, the promise of AI has always been existing since era of electromechanical computing, this began in the time period, after the World War 2. The first conference of Artificial Intelligence was held at the college of Dartmouth in the year 1956 and at that time, it was said that AI could be achieved within the time period of summer. Later on, in the 1960’s there were scientists, who claimed that in the next decade, it would be possible to see various machines controlling human lives. But it was in the year 1965, when the Nobel Laureate, Herbert Simon, who is supposed to have predicted the words, which would have some substance and which were, “In the next 20 years, it would be possible that machines would be able to do any work of labour that man can”.
With Artificial Intelligence, going in full fervour, the field which it has affected most in the field of Data Science. And as there are many who believe that there is a great to achieve in this field, have begun to get trained in the same by approaching professional training institute – Imarticus Learning.Learn more
The Financial services industry, is one place where change is a constant factor. This is why the most challenging thing for any person or organization in this field, is to ensure that they keep are always on top of their game, adapting and evolving to the various changes. One of the most important tasks, is to ensure that a financial services company, must provide innovative services to respond perfectly to the needs of their customers.
Apart from this, there are a few standard challenges that every company out there has to deal with, say for example higher capital charges, market electronification, digitalization, a fixed cost base, inflexible and layered technology, with an increase in complexity or regulation and reporting. All the various changes in this field can be classified as just the start of a steadily developing ecosystem.
While the aforementioned statement is entirely true, there are certain standard things that every bank needs to be well aware of. While this may include the following things, but it certainly is not just limited to them. These four things are going to be a constant variable when it comes to Investment Banking, the decreased consumer profitability and heightened competition, as opposed to margin driven profitability, its more about volume driven profitability, financial engineering requirements and the most common of all, the introduction of digital currency, in trade dealings.
As a direct result of these few constant factors, it is very likely that banks, as opposed to the olden times will experience a shift in the way they are supposed to conduct their business. Soon will come a time, when a bank will have to focus more on data optimization through concepts like accuracy, timelines, and financial reporting requirements and so on. It is a commonly accepted phenomenon, as the time passes by, the value of money goes on decreasing, which is inversely proportional to the need of it. Thus, the future holds a number of reviews of existing business models, mainly due to higher capital requirements.
Financial technology, which is also known as fintech, is considered to play the most pivotal role in the banking sector. It is said that soon will come a time, when banks would be looking to hire more technical professionals, as opposed to traders.
Thus we can infer that the area of Investment Banking has gone through a number of changes, since its inception. The pop culture and other forms of entertainment also play a great part in inspiring its evolution. They are basically the reason why so many people have been attracted towards the good, satisfied life that the field of Investment Banking offers. This is mainly the reason why a number of finance aspirants, usually opt to become Investment Bankers or Corporate Finance professionals, as they view these jobs as extremely rewarding. This is also the reason for the popularity of professional training institutes. One name is particular outshines the others, Imarticus Learning. This institute is renowned for offering industry endorsed courses in the field of Finance and Analytics, helping candidates achieve their goals and ambitions.Learn more
Imarticus is proud to offer a Prodegree in Wealth and Investment Management in collaboration with Motilal Oswal AMC. The 200-hour industry project driven online program will help aspirants’ jump-start their career in wealth management, investment advisory, and relationship management.Learn more
Whether you are in the early stages of your startup or you have just secured funding, there will always be a bunch of people who will keep on asking you whether it was a right decision to become an entrepreneur. (more…)Learn more
Recently, a study was conducted by the capital financial technology giant, C2FO, regarding European treasures. Herein, it was found that 75% of these treasurers are supposedly focussing on investing in trade finance technology, in the following year of 2017.
Colin Sharp, who holds the position of senior vice-president, EMEA at C2FO, is of the opinion that the shifts within the microeconomic environment, are resulting in the pressuring of corporates, in order to refocus their efforts to trade finance. He further goes ahead to say, “Treasurers are facing a lot of uncertainty, both from the United States of America and as result of the on goings around Brexit. This is putting immense pressure over the supply chain, and with the demand increasing and decreasing. Treasurers want the ability to use their assets to make returns and give some certainty.”
There have been more and more efforts, which are offering insight into, finding out how blockchain can supposedly be used, in order to benefit small as well as medium size ventures. Any said digital trade chain, supposedly wants to achieve a perfect balance, between identification of opportunities and connecting them with each other and their banking partners. This would be made even simpler, when banks would bring in their own client bases herein, thus eliminating rigorous on-boarding.
Anne Claire Gorge, who holds the position of the head of the product management department, trade services, and finance of Societe Generale, is of the opinion that, treasurers believe that more control over trade finances, can help them greatly in the other areas of business. She says, “Better use of trade finance helps theses treasurers, to have a greater overview of their working capital positions. Offering financial solutions to suppliers, for instance, in order to improve the terms of payments, helps greatly in guaranteeing cash flow.” She is of the firm thought that the deployment of latest technology will definitely end up simplifying the process. In her words, “Trade happens to be very heavy on letters of credit or invoicing solutions, making it complicated to finance receivables and payables. Doing all this, as a part of a digital solution, has great potential of making it easier”.
The experts believe that a little rocking, cannot cause any harm to the ship, in financial jargon, they are basically hinting at the climate of uncertainty. Especially when it comes to Banks, a little uncertainty does not seem to be a negative thing. This actually makes for a rather encouraging temperature for the requirement of trade finance tools, in order to offer stronger guarantees. The solution for the entire thing can finally come from block chain, is the combined belief of all the trade finance gurus. But for this concept to see the light of the day, there needs to be a rigorous industry wide effort, in the direction of implementation.
As many changes take place, in order to develop and strengthen the field of Trade Finance, the number of aspirants herein also multiplies. This is why professional training institutes like Imarticus Learning seem to be getting popular by the day.Learn more
There exist a number of free and accessible Python Machine Learning resources in the market today. While it may be true that anyone can begin their learning process, in a hassle free way but, the amount of variety poses a threat of confusion. Many data aspirants undergo a number of apprehensions like deciding which course to take, how to proceed and most importantly, where exactly to begin.
In order to reduce your apprehensions, we have got here a complete guide to being efficient at understanding and mastering, machine learning with Python. Let’s begin with tackling one of the most important questions, which is ‘Where to Begin?’ While everyone, regardless of the field of study they belong to, faces this question but, it would be agreed upon that to begin somewhere, is the hardest step to take. Couple that with having to make a choice from among the multiple options and you land up confused and staggering.
There are a number of professionals who code but have sufficient working knowledge about computer science. Similarly, if you are looking to get trained in Machine Learning with Python, you don’t need to have a through theoretical knowledge, the practical side more than makes up for it. There exist a number of source libraries, which help with the machine learning aspect, while working with Python. A few of them, those that are known as scientific Python libraries, can be distinguished by the names, nymph (used for N-dimensional array objects), pandas (python data analysis library), matplotlib 2D plotting library) and so on. If you are well aware of the variety of topics of machine learning, which make it easy to work with Python and with the help of professional training courses, it would be a cake walk.
Assuming that the reader is a novice at Machine Learning, Python and any data analysis resources, scientific computing or any other related resource. Let’s begin from the basics, to begin with, you are required to mandatoraly have a certain amount of foundational knowledge about Python, in order to make use of it in Machine Learning. When it comes down to it, your level of experience and comfort in the usage of this data analytics tool, would help you choose the proper starting point. To begin with, you have to first install the Python software, using one with industrial strength implementation for operating services like Linux, Windows is always better.
As most of the work of a Data Scientist revolves around Machine Learning algorithms, it as a whole reflects the field of Data Science. For an aspirant, it is not very important to thoroughly understand kernel methods, as opposed to being well versed with the practical usage of the same. Like they say, practical application of any particular tool, is entirely relative to the theoretical understanding. Machine Learning, in particular, is a concept which very few can learn on their own. This is why most people tend to opt for professional training institutes. Institutes like Imarticus Learning, usually focus on teaching various data analytics tools and machine learning, with a more practical approach coupled with case studies and mentoring from the industry experts.Learn more