Electronic Investment System : Information And Act On Current Events And Possible Upcoming Events

It is evident Vanguard aspires to be an analytical competitor in the investment world. It is challenging each business unit to conduct predictive and prescriptive analytics. Analyzing client and employee behaviors on the top priorities. Business decisions that were once made by gut-check now requires data as a source of proof. Vanguard has historically been a slow-and-steady business where decisions are made in consensus and new strategies has a cycle time of months or years. It operated at extremely thin margin to make sure it can keep operational costs at a bare minimum for its clients. That mindset officially changed when it opened its Innovation Center in center-city last year which will work closely with academics and consultant firms to bring R&D ideas to the forefront.

Up until this point, Third Star Financial Services has operated via a succession of mergers and acquisitions where systems were inherited but never integrated into the network. Its data management has been virtually non-existent and entirely ineffective. Evidence of this can be found in the absence of an enterprise-wide data management solution and the presence of several disparate systems operating independently with no measurable benefit to the company. Due to a lack of actionable data, management makes decisions based on instinct rather than through analysis. A direct consequence of this is a steadily declining market share and loss of high-level employees to competing companies. Fortunately, this discrepancy has been identified and Third Star executives have established the new goal of modernizing and streamlining operations. Using concepts outlined by the Data Management Association (DAMA), this proposed enterprise architecture will allow Third Star to transform their data from a liability to an asset.

In the past, leaders often relied on their intuition and pursued a hypothesis driven approach to strategic decision making. Field of data science has entirely shifted this paradigm. The advent of machine learning and pattern recognition techniques, in conjunction with the growth of cloud storage and parallelized computational capabilities has given business leaders enormous flexibility to boil the ocean and make decisions entirely based on data.

Cons: Incur loss in the first year; hard to find an advisor whose work ethic and values are similar to the company’s; takes time and effort to train

One of the biggest controversies with the advancement of artificial intelligence is the debate on job automation. Many people believe that artificial intelligence will advance to become better than humans and replace humans in most jobs. The opposite belief is that AI will be used to improve the standard of living and will be a tool to support humans, not replace them. Job automation has many benefits such as performing more dangerous jobs and complete tasks that humans do not desire to do. Even though job automation has benefits, there are many people who believe robots will take over the job market and the unemployment rate will skyrocket. There are multiple supporting factors for each side of the job automation debate, but the argument will never be settled until AI is further advanced and utilized.

Many people fear that adding AI to industries will mean a decrease in jobs, which it will. Many fields will feel the effect of AI, if not today, in the near future. Assembly lines that once contained humans, now contain robots. Check-out clerks at stores are gradually being replaced with self check-out machines. Bank tellers aren't used as often because of the ease of automated teller machine (ATM) banking. In fact, some banks charge a fee if you use their tellers for transactions that can be made at an ATM. In the previous section, it was stated that AI

More importantly, having first hand witnessed the incorporation of automation in retail lending has led to my curiosity with automation in investment management. Advancement in Machine Learning has already impacted the investment management industry, evidenced from the proliferation of quant funds in recent years, and the success of funds like Renaissance Technologies and

Although machines with Artificial Intelligence would be great, there are certain risks involved in the manufacturing of such machines. Imagine a scenario whereby a machine was trained with the wrong training set, and such a training set contained details on how to crash the stock market. If a machine places several orders and cancels them before people could buy them, over a long period of the time then there would be a fall in the price of stocks (Michael Maiello, 2015). This could crash an economy and cause mass unemployment. When people are unemployed there is usually a rise in the crime rate. The crash of the stock market is not even the worst case scenario if the knowledge of Artificial intelligence is utilized by the wrong set of people.

Many of tech companies and organization are putting into use the AI technologies that are made up of the robots, augmented reality and even the virtual assistants. Recently there was a report that was undertaken by Accenture in 12 nations and it showed that AI that is able to sense the environment has the ability to know what is happening to lead to the taking of an action. All these would, later on, lead to the rise in the levels of productivity to sales of 40% in the year 2035.The report goes on to show that once AI is well utilized, there will

Computers are everywhere today. It would be impossible to go your entire life without using a computer. Cars, ATMs, and TVs we use everyday, and all contain computers. It is for this reason that computers and their software have to become more intelligent to make our lives easier and computers more accessible. Intelligent computer systems can and do benefit us all; however people have constantly warned that making computers too intelligent can be to our disadvantage.

Artificial intelligence techniques are increasingly enriching decision support through means as data delivery, analyzing data trends, providing forecasts, developing data consistency, information providing to the exploiter in the most appropriate forms and suggesting courses of action.

An investment also known as a security is a pledge of money from an individual, government, or cooperation that is expected to accrue additional wealth on top of its original dollar amount. An investment can be a long-term or short-term obligation depending on the investor’s goals and/or assets they choose to invest in. The investment decision process is a two-step process which is necessary to make a sound trustable and efficient investment. The first step involves an evaluation of the investment you as the investor are interested in committing money towards, including characteristics of the security (i.e. how it acts in the current market, how the current/future market may react to this investment and possible returns on your investment). Finally, the management of your investment portfolio, including how often it should be revised, how the performance of your securities should be measured (how often they should be measured), and other important aspects of your current investments. Investing revolves around one basic concept, improving our future, investors invest money today to improve their welfare in the future which is why understanding what an investment is and the process of decision making before investing is extremely important.

There are numerous advantages of using Artificial Intelligence instead of human intelligence. For example, artificial intelligence can function without food, water and doesn’t need to take any breaks. This means that they can function 24 hours a day, 7 days a week. These factors benefits business and finance as it will keep labour cost low. This is a positive factor as there will be more money to spend on other areas of the company. This will allow the company to be in a better financial situation. This also allows companies to develop in other aspects where they can grow and become more successful.

The bank has its presence in 11 major cities/towns in the country including Dhaka, Chittagong, Sylhet, Khulna, Rajshahi & Cox’s Bazar. SME Banking customers are served through 40 SME centers located across the country.

|Assignment on | |Security Information Affecting Investment Decision | |A Study on Eastern Bank Limited | | | |Course Title: Security Analysis and Portfolio Management;Course Code: FIN 6155