Tesla Unveils Robotaxi Plan for Self Driving Ride Sharing Network Article Review

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We have to choose an article related to management information system and I already did that. I just need a review of it. The link for the article: https://electrek.co/2019/04/22/tesla-robotaxi-network-self-driving-fleet-ride-sharing-cars/

Check the example I atached for the length of the paper (around 310 words not much more). Please make sure you check that out, so that you can see how the structure should look like too. As you can see on the example, there is an intro, body of the review and finally talk about how the article relates to Management Information Systems concept. Also, please make sure the source of the article at the end is in APA format and respects every APA format rules(indentation, spacing, retrived from etc..., it is extremely important. The example doesn’t seem to respect that (sorry for that) but you would have to. In text citation is not needed for the paper.

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Junie Senthilkumar Article Review #1 IS300 - Section 2 GeoSpark Analytics: A New Paradigm in Threat Assessment Technology has been advancing at an incredible speed for the last couple of decades, and it shows no signs of slowing down anytime soon. Humans have gained the ability to predict certain events to come in the future with numerical data and analysis. One example of this phenomenon is, of course, weather forecasting. GeoSpark Analytics is a relatively young company and they provide their clients a different kind of forecast: threat assessment. GeoSpark Analytics’ team uses machine learning to develop a risk management platform, Hyperion. Hyperion analyzes millions of data points from around the globe in order to assess activities that could pose a threat to security. The AI collects data from news articles, social media outlets, satellite images, and other media sources. With this data, Hyperion is able to graph and predict potential threats that can arise in an area, such as riots, criminal activity, or environmental destruction. As groundbreaking as this innovation is, it is only the beginning. Understanding and implementing machine learning is a relatively new concept and it is only natural that our knowledge of the subject will grow with time. The implications of this are astounding, and only time will tell what we will do with this information. This article is very relevant to Management Information Systems. An important part of Information Systems is to make sense of data, and machine learning does just that. With algorithms and statistical models, AI are able to take raw data and turn it into useful information. The knowledge it provides only becomes more advanced the more it learns through the data inputs. The article displays this effectively: Hyperion gets raw data from news and media outlets, turns that data into information of risk assessment, and then uses that data to determine specific areas that are susceptible to certain kinds of threats. GeoSpark Analytics’ use of machine learning is very interesting, to say the least. Source: Enterprise Security. (2019, January 18). GeoSpark Analytics: A New Paradigm in Threat Assessment. Retrieved from https://threatmanagement.enterprisesecuritymag.com/vendors/geospark/2018
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Running Head: INFORMATIONAL SYSTEM ARTICLE REVIEW

Informational System Article Review
Institutional Affiliation
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INFORMATIONAL SYSTEM ARTICLE REVIEW

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Information technology has over the past decades advanced significantly with discoveries
coming up almost annually. Technological advancement and its inclusion in the healthcare sector
has not only improved the relationship between patients and the practitioners, but the system has
also been tested to make predictions on early deaths as a result of chronic diseases.
The management information system has become part of daily life due to technological
advancements. Al works best through the combination of large data sets with fast, iterative
processing as well as intelligent algorithms. The use of Al system in the health sector has been
very effective in making accurate predictions as compared to the current standard approach by
experts towards early death prediction due to chronic diseases. ...


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Just the thing I needed, saved me a lot of time.

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