Most modern technologies complement each other nicely. For example, advanced analytics and AI can be used collectively to achieve some amazing things, like powering driverless vehicle systems. Big data and machine learning can be used collaboratively to build predictive models, allowing businesses and decision-makers to react and plan for future events.
It should come as no surprise, then, that big data and 3D printing have a symbiotic nature as well. The real question is not "if" but rather "how" they will influence each other. After all, most 3D prints come from a digital blueprint, which is essentially data. Here are some of the ways in which big data and 3D printing influence one another:
On-Demand and Personalized Manufacturing
One of the things 3D printing has accomplished is to transform the modern manufacturing market to make it more accessible and consumer-friendly. There are many reasons for this.
First, 3D printing offers localized additive manufacturing, which means teams can create and develop prototypes or concepts much faster. The technology can also be augmented to work with a variety of materials, from plastic and fabric to wood and concrete.
Additionally, the manufacturing process itself is both simplified and sped up considerably. One only needs the proper digital blueprint ...
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