Artificial Intelligence and Investing

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Artificial Intelligence and Investing INTRODUCTION Artificial intelligence can be defined as the ability of a computer to perform activities normally considered to require human intelligence. The techniques of this intelligence include knowledge-based, machine learning, and natural language processing techniques. Investing can be defined as the act of committing money to an endeavour with the exception of obtaining profit. Investing activities require data identification, asset valuation (the process of determining the worth of something), and risk management (the process of managing the uncertainty in investment decision-making). Artificial intelligence techniques can be applied to financial investing, especially in the areas of credit risk assessment and stock valuation. In the future, we can expect that the techniques of artificial intelligence will be integrated into systems that simultaneously address investing activities. WHAT IS ARTIFICIAL INTELLIGENCE? Technology is an important factor in investing activities. For example, stock trading is computer-based and can automatically execute the trading of large volumes of shares. This has become an extremely frequent activity on stock exchanges in our advanced world. Artificial intelligence is allowing humans to have a “cutting edge” by using computers when investing. Years ago, a usual activity for a computer program was a simple, or even a complex, numerical calculation. An example of this could be a forensic officer’s ability to compute the path and pattern of a bullet. Today, computers are more advanced. It is no problem for a computer program to assist humans in their decision making processes. Humans have access to huge databases across the world over the interne... ... middle of paper ... ...ollection, asset valuation, and portfolio management). These systems will interact with humans and humans will be able to specify their preferences and make difficult decisions. SUMMARIZER’S CRITIQUE In general, the article “Artificial Intelligence and Investing” offered a lot of valuable information regarding the both the current, and future, paths of artificial intelligence systems. The article was broken down into simple sections that helped the article come together. The author’s intent of relating artificial intelligence to investing was successful in explaining that artificial intelligence is of great assistance to investors across the globe. On the other hand, I believe the article contained some examples and terms which were not really explained in enough detail to the average user. Basically, some terms were not presented at an average reader’s level.

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