Bid data and internet of things

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 these requirements:

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Notes for assignment: According to Verizon’s “State of the Market: Internet of Things 2016“,
• • 76 percent of early-movers in manufacturing says IoT is increasing insight into customer preferences and behaviors.
  • 66 percent of early-movers uses IoT to measure risks, protect company assets and improve staff safety.
  • 61 percent of early-movers are improving the reliability or performance of products and services with IoT.
  • 66 percent of early-movers say IoT is now critical to competitive advantage.
  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.