AMAT Just Delivered Its Best Quarter In Its 50 Year History, Now What?

On August 17th, 2017, Applied Materials, Inc. released its third Quarter of Fiscal 2017 financial results and its business outlook. The company, which will celebrate 50 years on November 10, experienced record results in its third quarter ended July 30, 2017. AMAT’s net sales grew by 33 percent, from $2.82 billion to $3.74 billion, in comparison with the same quarter of the previous year. The company increased its gross margin by 3.1 points to 45.4%. Moreover, its operating margin grew by 6.2 points to 27.3%. AMAT’s earnings per share almost doubled, increasing from $0.46 to $0.85. According to Mr. Gary Dickerson, AMAT’s president and CEO, the company is experiencing tremendous momentum and has a very positive outlook for their future. Dickerson affirmed that their markets are growing with a broad set of demand drivers, and that the breadth of AMAT allows them to play a larger and more valuable role in advancing the innovation roadmap in semiconductor and display. Read more.



How AI Manages To Beat Regular Investors When Stock Picking

How does one pick stocks? Those who seek adventures might look for companies in the news, or those companies that are rumored to be taking over. If they hear positive news, they buy the stock, with hopes that the stock will go higher. Some of us are lucky, but most of us aren’t, and, therefore, we lose money. Is luck related to it at all? Other people simply buy stocks in companies that make products which they like. Most Apple (NASDAQ: AAPL) investors belong to that category. Investing in Apple is a win-win situation for them as either they can win big, or they can, at least, own stocks in a company that they like. Some of us are knowledgeable in accounting. We look through different balance sheets to try and find out what a company is really worth putting our money in. This is known as value investing, a technique known to be employed by the great Warren Buffett. The dividend investing strategy is a conservative form of this technique. Read more.



Trading by Machine Learning Will Revolutionize the Market Today

Robo advising is a new way to get portfolio management help without having to pay the higher percentage fees that are typically charged by traditional advisors. They tend to provide more basic wealth management services, not delving into the world of taxes and retirement or estate management as human advisors do for their clients. There are both advantages and disadvantages to this form of advising, but it is a popular tool for millennials and younger investors that are just starting to dip their toes into the financial world. Users are primarily people who feel more comfortable with the modern interface and may not have such large sums to invest. Robo advisors were just recently introduced to the general population of investors in 2008, though human financial advisors have been using similar automated wealth management systems since the mid-2000s. Robo advisors are automated systems that perform asset allocation and portfolio management without the help of human advisors. What started as a basic tool in the middle of one of the biggest financial crises of our time to aid in investors’ portfolio recovery has now developed to include additional advanced services such as tax-loss harvesting. Read more.



How Human Behavior Was Studied To Develop Successful AI

Warren Buffett, the most successful investor in the world, once said, “beware of geeks with formulas.” Looking towards to future of the job market, in response to the rise of technology and the development of algorithmic systems and artificial intelligence, some consequences of the advancements in algorithmic formulas are troubling. Researchers are estimating that within the next decade or two, close to 50% of American jobs will be automated. This is including not just production and manual labor, but research and analyst positions as well. Artificial intelligence is capable of more today than many people can imagine. AI is, in many ways, being used to characterize and analyze human behavior. It’s fair to be wary of formulas in a computer system that is analyzing human behavior only to place people in boxes. Algorithms are now being used to optimize search results based on what some are calling discriminatory parameters, and they are even being used to assist in the hiring process at some companies. Read More.



The Future Of Financial Investment Is Here - And It's AI

There is a lot of talk around this buzzword, but what exactly is deep learning? Deep learning is essentially the study of artificial neural networks and related machine learning algorithms that contain more than one hidden layer. This can be broken down in to its individual components. A single neuron might take in various inputs with assigned weights and output an answer. This could be connected with various other neurons to form a neural net. This neural net might have a complex web of differently weighted inputs and outputs it uses internally before generating an answer. The difficulty in this task comes from deciding what weights will be used for each input. This is also called feature extraction when discussing what components of an image should be informative in making a decision. Normally, the onus of decision is on the programmer. The programmer is required to be insightful in order to code in proper heuristics for the computer. Read More.





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