ADVANCED MANUFACTURING NOW Kiana Sadri
a T
he use of measurement techniques and data computing methods has been implemented in society since the begin- ning of human civilization. Trade has always made use of
units of measurement, beginning as an exchange of commodities, then developing into an exchange of currencies—such as gold and silver—and leading to the current stock market. Today’s dynamic, fast-paced society holds daily techno- logical developments and social media interactions, making monitoring, analyzing, and understanding customer demands strenuous for organizations who are left with this overwhelm- ing amount of information. However, it has never been more important to collect, measure, move, and organize this wave of dynamic data. Big Data manages massive data volume more effi ciently from data sources in a structured and unstructured format and provides an accessible data source for users. The advantages of Big Data include effective transparency between cross-functional divisions or departments within an organization to minimize redundancy or duplication of data. Traditional organizations tend to react to specifi c concerns as they arise. Therefore, as issues arise, traditional organiza- tions continuously open new websites to resolve the concern, a response that increases their vulnerability for cyber-attacks. As a result, they hold the responsibility of managing numerous web- sites, leading to the necessity for an ample number of staff as gate keepers to police the websites. This method causes a spiral effect—proven by the Fibonacci Mathematical Sequence—as these websites are subsequently added, leading to an unman- ageable information system. Therefore, traditional organizations must transition to Big Data in a joint venture to reduce signifi cant data management costs and to prevent cyber-attacks. Google’s Executive Chairman Eric Schmidt recognized this accumulation of data as he said “from the dawn of civilization until 2003, humankind generated fi ve exabytes of data. Now we produce fi ve exabytes every two
days...and the pace is acceler- ating.” Schmidt’s statement can be connected to the Fibonacci mathematical series, which states that data and volume are developing exponentially. Moore’s Law specifi cally predicts that while the size of transistors decreases over time, the number of transistors approximately doubles every two years.
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AdvancedManufacturing.org | July 2016 11th Grade Student
Detroit Country Day Upper School Metro Detroit
MODERN MANUFACTURING PROCESSES, SOLUTIONS & STRATEGIES Managing Big Data in Manufacturing and Beyond Ultimately, Moore’s Law demonstrates that the Quantum
effect will be inevitable in the future of data computation. The Fibonacci mathematical number series serves as a visual model of the evolution of data computation. Using the Fibonacci num- ber series, it can be understood that today’s Big Data Bit will not have the capability to compute and organize data in the future which leads to the necessity of quantum computation.
Impact of Quantum Qubit Data Generation in Shaping the World Big Data is a great solution for volume, velocity and data
variety. Big Data optimizes and analyzes models in a structured and accurately formatted fashion using a high velocity. The central processing unit of a computer translates all information to bit. Therefore, computer processes data in bits of 0s followed by bits of 1s separately at a high velocity. If 0s and 1s are active at the same time, then quantum qubit can be achieved. Therefore, Qubit achieves the singular processes of the bit at one time.
The Fibonacci mathematical number series serves as a visual model of the evolution of data computation. Using the Fibonacci number series, it can be understood that today’s Big Data Bit will not have the capability to compute and organize data in the future which leads to the necessity of quantum computation. Quantum computation can analyze a larger volume of data instantly and accurately compared to the current available data computation method. Furthermore, quantum computa- tion analyzes a substantial number of variables simultane- ously in mathematical models—such as set-theory and multi-regression—to optimize signifi cant factors among the amplitude of variables. Therefore, Quantum Qubit Data allows for a higher use of mathematical models which leads to a miniscule statistical uncertainty, thus improving the accuracy of measurement trends, and will ultimately lead to revolution- izing all sectors of modern day society. This achievement of Qubit can lead to a breakthrough by extracting billions of data at once, giving society the ability to accurately predict current unknowns, such as common diseases and natural disasters, deep ocean discovery, space exploration, logistics, and trade forecasting, and thus reshaping the world.
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