![]() ![]() ![]() To understand industry for operational optimization, as noted in big data “is turning mobility, medical, automobile, and pharmaceutical billions of gigantic data into actionable insights to help make informed business decisions, including all significant industries. For instance, in understanding an individual (for medical or housing needs), big data will include all unstructured and structured forms in addition to the individual’s medical history and other demographic details. Conversely, Big data is more than communication, powered by the data sciences and associated technologies. Graphic writing as structured visual expression is not strange in Africa as recognized in “with multiple varied communication tools, including written symbols, religious objects, oral tradition, and body language” deployed in organizing “daily life, enable interactions between human and the natural and spiritual worlds, and preserve and transmit cosmological and cosmological belief systems”. While earliest 3D computer graphics can be traced to late 1970s with the 3-D Art Graphics by Kazumasa Mitazawa released in June 1978 is one the earliest. Nonetheless, the impact on 3D computer graphics, like with all architectural endeavors, of the explosion of big data fuelled by data sciences since 2000 will just be as transformative like the internet (see ). In computer 3D graphics, a term first coined by William Fetter in 1961 to describe his work at Boeing, have played a significant role in the design, engineering, and gaming industry. The implications are policy, design, and education.ĭo Big Data sciences require any role of the architect? Is there any merit for the dismissive attitude against architectural practice as big data knowledge based? Are the architectural institutions agile and responsive to the transformation opportunities big data sciences are bringing to the architectural education and architects? Is architecture data driven and source of data, including does graphics play any role? The chapter sets out to find the answers. The chapter concluded with recommendations, including highlights of big data technologies potential transformation of 3D computer graphics. The language is accessible yet academically concise. The chapter adopted principally reviews of scholarly literatures, draws from authors’ 20-years personal experiences, and industry leaders’ views. Here the chapter demonstrates architects as data scientists and the symbiotic relationship that exist between architecture and 3D computer graphics while highlighting emerging data sciences opportunities and threats. ![]() Conversely, dismissive attitude by decision-makers towards architectural practice and education, even among architects, in recognizing architecture as data-driven and source of data deserve rethink. Liveability, well-being, and sense of belonging in the city are connected. ![]() Skilled community necessary to build sustainable liveable cities with emerging creator’s economy. Particularly, facilitate the birth of an antifragile construction industry and more robust data sciences community of professionals. Big data sciences demand the significant role of the architect. ![]()
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