Computer Science AI as Well as Machine Learning in Big Data Questions – Description
Question 1:
The reading material this week covers the context of how artificial intelligence (AI) and machine learning (ML) influence the capabilities of big data analytics. Address the following in your discussion:
Identify and discuss two advantages of machine learning and AI in big data analytics.
How has the use of AI and ML impacted businesses such as Amazon, Walmart, or the travel industry?
Question2:
A variety of AI analytics technologies and tools exist in the market today. Review the list of current analytics tools below:
Google AI Platform & Google Analytics
Microsoft Azure
Ayasdi
Watson Studio
Rainbird
Dialogflow
In a paper, provide a brief summary of AI and ML in data analytics. Select two analytic tools from the list above and create a comparison table addressing the features and functions their systems provide. Following your comparison, address what a business would need to do to effectively implement and use one of these analytics tools.
Refer those links:
Melnichuk, A. (2020, January 21). How big data and AI work together. Ncube. https://ncube.com/blog/big-data-and-ai
Marr, B. (2016, December 6). What is the difference between artificial intelligence and machine learning? Forbes. https://www.forbes.com/sites/bernardmarr/2016/12/06/what-is-the-difference-between-artificial-intelligence-and-machine-learning/?sh=4ac57c602742
Hernandez, A. (2019). The best 7 free and open-source artificial intelligence software. GoodFirms. https://www.goodfirms.co/blog/best-free-open-source-Artificial-Intelligence-software
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