2. 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).
3. 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.
4. 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
