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I’m studying for my Computer Science class and need an explanation.

Please go through the attached PPT throughly and start work on my question and make sure NO PLAGIARISM AND I NEED IN APA Format.

Manufacturing history is a study in evolution, as industry has quickly adopted and adapted to new technologies, from power generation and electrification to automation and the digital age. That’s why the way that cars and other products are manufactured today looks very different than it did when Eli Whitney first developed a simple production line based on interchangeable parts used in the manufacturing of muskets.

In every facet of manufacturing, investment and speculation abound as companies explore the possibilities of IoT and analytics and become more insight-driven. The possibilities for applying analytics and the IoT to manufacturing may seem limitless, but one thing is crystal clear—technology-driven manufacturing innovations are evolving rapidly, which makes analytics and IoT a trend to watch.

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.

For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.

Your paper should meet the following requirements:

  • Be approximately 3-5 pages in length, not including the required cover page and reference page.
  • Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations. The UC Library is a great place to find resources.
  • Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

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