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Siggraph Preview: How Nvidia envisions the omniverse as a powerful productivity tool

Disclosure: Nvidia is a client of the author.

Next week at SiggraphNvidia will be talking about a Omniverse offer, which stands in stark contrast to the overcrowded metro. What makes Nvidia’s effort powerful is not only that it’s wrapping it with services from companies like Siemens and using it for cutting-edge autonomous factories like BMW’s latest, but it’s ability to solve problems anticipate and correct early before they become overspends or cost injuries.

I also wish more companies would realize that Nvidia’s presentations are generally richer because they use tools like Omniverse to create them. (This video of the last GTC keynote Rather than relying on static slides of words, the video experience from Nvidia’s keynote conveys the message better and keeps the audience glued to the screen in a way that few speakers today do, proving that you don’t have to be Steve Dean job if you have the right tools and spend time on multimedia tools to entertain and inform.

Nvidia at Siggraph

Nvidia is expected to talk about its progress with its Omniverse tool and the short-term future of these efforts. The basic concepts of digital twins and AI are a lot of what’s driving Omniverse right now – one can’t reliably exist without the other. To be viable, digital twins must not only mimic the real world first but must stay in touch with their physical counterparts to ensure that associated simulations can accurately predict future events. Without that connection, any discrepancies between the physical element being emulated and the digital twin will introduce an increasing number of unknown errors, reducing the accuracy of the result at an increasing rate due to the disconnection.

This is especially problematic if, when used for factories and cars, the system tries to find methodologies that blend these two elements. The outcome might not adequately predict future problems, and decision makers would have no way of understanding the risks they run in believing something that is increasingly unreliable.

AI is essential not only to ensure that the physical world and its associated digital twin remain connected (by filling information gaps that sensors cannot yet collect), but also by predicting the future behavior of these elements so that problems can be identified early. Nvidia’s approach to aggressively using AI in its Omniverse tool should provide a much higher level of accuracy and reliability for any related metascopic simulation, which translates into more reliable results.

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Siggraph Preview: How Nvidia envisions the omniverse as a powerful productivity tool

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