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    Subject: Big Data Analytics

    Assignment – 3

    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 300 words, APA 7th edition-formatted 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. 

    Discussion Questions

    Q1. Please read the below paragraph and write your opinion. You have any suggestions?

    Note: 100 words with intext citation and references please.

    Compared to other traditional business intelligence technologies, machine learning can enable a business to gain more insights from both structured and unstructured data. These insights offer great value because they can help a business increase revenue while decreasing costs. Machine learning is a type of predictive analytics. That means, machine learning can help businesses understand the future. On the other hand, there are also some advantages of artificial intelligence (AI) in big analytics. First of all, it can identify possible relationships between datasets. It can also identify knowledge with natural language processing.

    Retail businesses such as Amazon and Walmart can use AI to improve their customer experience. For example, they can use AI to predict what customers are likely to buy with another product. And as a result, the product recommendations for customers are more customized thanks to AI. This also in return help bring up the sales for these retail businesses. Similarly, AI can supervise machine learning to analyze how customers perceive a product or a service. After travel agencies receive these analyses, they can provide a more personalized trip to each customer.

    Q2. Please read the below paragraph and write your opinion. You have any suggestions? Note: 100 words with intext citation and references please.

    Artificial intelligence identifies types of data, establishes possible associations between datasets, and by using natural language processing recognize knowledge. Artificial intelligence is used among other approaches to generate data models and aid in exploring data (Sharda et al., 2017). It can detect human errors by learning their patterns and thus resolves possible information flaws. 

          Customer profiles are created for content creation for a diverse audience that also recommends content. Companies such as Wal-Mart and Amazon use machine learning for the improvement of processes and product recommendations.  It uses customer demographics, browsing history, and socioeconomic characteristics to give customized product recommendations. All this is geared towards gaining a competitive advantage in the market. 

    Subject: Internship

    Q3. Please read the below paragraph and write your opinion.

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