1. Artificial Intelligence
Data analytics has become a very important part of how companies make decisions. Artificial
intelligence (AI) is continuing to make similar strides. Artificial intelligence makes it possible
for machines to learn from past experiences, adjust to new inputs, and perform human-like tasks
for a user (SAS, 2018). Many of the artificial intelligence examples that you come across today
perform tasks such as play chess, drive cars, and even answer Jeopardy questions. These forms
of artificial intelligence rely on two main components: deep learning and natural language
processing. By utilizing these components, computers can be trained to perform a variety of
specific tasks. The way the artificial intelligence performs these tasks is by processing large
amounts of data and recognizing patterns found within the data set (SAS, 2018).
MIS 2502 teaches students how to solve business problems by using data. Artificial intelligence
would take that data and process it more efficiently for the user. Data is essentially talked about
all semester however data visualization is mainly covered during the middle of the semester.
Companies are starting to take advantage of the new artificial intelligence applications that are
being built. These applications will make analytics and data-driven decision-making more
obtainable, understandable, and easier to navigate for all business users (ZDNet, 2018).
Companies like Google for example have already made technological investments in artificial
intelligence. Google used “DeepMind” artificial intelligence to help drive down the cost of their
hardware energy usage by 15%. Google now uses sensors to accurately and efficiently analyze
each variable throughout all their data centers (Terdata, 2016). Google has cut down on costs for
power in order to more efficiently run their data centers. The Artificial Intelligence applications
created can help companies like Google more accurately depict and cut down on business costs
through data.
References:
Artificial Intelligence – What It Is and Why It Matters. (2018). SAS. Retrieved from
https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
Henschen, Doug. (2018). How ML and AI Will Transform Business Intelligence and Analytics.
ZDNet. Retrieved from https://www.zdnet.com/article/how-machine-learning-and-artificial-
intelligence-will-transform-business-intelligence-and-analytics/
Improve Your Marketing Through AI-influenced Analytics. (2016). Terdata. Retrieved from
http://blogs.teradata.com/data-points/ai-influenced-analytics
