Disclosure: Nvidia is a client of the author.
Next week at Siggraph, Nvidia will talk about its Omniverse demo, which contrasts sharply with the hyperactive metaverse. What makes Nvidia’s efforts strong is not only that it’s packaged with services from companies like Siemens and its use in cutting-edge independent factories like the latest BMW, but its ability to anticipate and correct problems early before they lead to cost overruns or injuries.
I also hope more companies understand how rich Nvidia’s presentations are in general as they use tools like Omniverse to create them. (This video of the last GTC keyword makes the point.) Rather than relying on static word chips, the video experience from the Nvidia keyword better conveys the message while keeping the audience glued to the screen in a way that few speakers today do, proving not You need to be Steve Jobs if you have the right tools and the time to use multimedia tools to entertain and inform.
Nvidia is expected to talk about its progress with its Omniverse tool and the short-term future of these efforts. Much of Omniverse’s advancement at the moment is the core concepts of digital twins and artificial intelligence – one cannot reliably exist without the other. For digital twins to be viable, they not only have to simulate the real world initially but must remain in contact with their physical counterparts to ensure that relevant simulations can accurately predict future events. Without this connection, any discrepancies between the simulated physical element and the digital twin will result in an increasing number of unknown errors, which will reduce the accuracy of the result at an increasing rate due to separation.
This is particularly problematic if the system, when used for factories and cars, attempts to come up with methodologies that combine these two components. The outcome may not adequately predict future problems, and decision makers will have no way of understanding the risks involved in believing something increasingly unreliable.
AI is critical not only to ensuring that the physical world and its associated digital twin stay connected (by filling in 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 the Omniverse tool should provide a much higher degree of accuracy and reliability for any relevant metaverse simulation, which translates into more reliable results.
Nvidia display process
Even if you have the best tool available, it won’t make much difference if you can’t sell it. Nvidia’s heavy use of graphics during performances has always given it a competitive edge. These tools make presentations more interesting and compelling, helping the company to get ahead of competitors and drive new markets such as autonomous machines (including automobiles), the metaverse, and broad AI. With these tools, Nvidia can recreate a lot of great presenters like the late Apple CEO and PT Barnum delivered through rhetoric alone. It can show you what their version of the future will be – and make it real.
And if people believe in the future, just like what happened with Jobs and the iPhone, they will. If they don’t, you’ll end up with something like the LG Prada – it was just like the iPhone but a market failure. Nvidia’s success isn’t just about what you build, but how you deliver what you build. If more companies realize that dynamic, new and potentially revolutionary products will work.
With this in mind, Nvidia’s presentation in Siggraph is important for two reasons. First, it represents the cutting edge of what works in the metaverse and addresses the growing belief (thanks to exaggeration on the consumer side) that the metaverse is more smoke than mirrors. It is in line with presentations for audiences that are still largely distant9 with very short interest periods).
Presentation is important
In short, Nvidia’s success is not only in building revolutionary offerings, but in presenting them in compelling and interesting ways, ensuring a future that better benefits the company.
I hope more companies will emulate Nvidia. If they did, not only would I be more entertained (and yes, sometimes it comes to me) but their potential for success would be enormous. Nvidia is transforming the metaverse into a powerful productivity tool by building an impressive toolkit and delivering technology in a way that makes it certified.
This is not multiple choices. You need to do both to ensure that you achieve the benefits that the tool promises.
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