NVIDIA
Why don't we use AI? Because it can't solve our problem.
Do you or any of your contacts need our expertise and intellectual property (IP), a copyrighted Chinese-English multilingual metadata, to do the data analysis that AI can't do?
NO one in the world can change the fact that we need menu to order our food at a restaurant. A five-year-old kid knows this.
Similarly, we need metadata to search/retrieve the right data for data analytics.
Metadata is a copyrighted content, NOT technology. It is fundamental to enable data analytics.
Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI.
https://lnkd.in/g-aJFnXR
Let's try the go/no-go test here to see if AI works without metadata, and then, at what cost.
Is there any data solution, AI or NOT, that can answer the following questions of business intelligence?
"How many entities, in the Ontario province of Canada or in the "江蘇" province of China, have new US patents granted on the nearest Tuesday (Eastern Time), when the USPTO releases the newly granted US patents on a weekly basis?"
With our IP, we can answer, even by an ordinary laptop without AI.
As #LLM-powered applications and #AI workloads accelerate at unprecedented speed, telecom companies need to rethink networks to manage AI traffic.
Learn how we are working across the telecom ecosystem with software providers and partners to manage and optimize AI workloads on #acceleratedcomputing architecture. ➡️ https://nvda.ws/4fFqtx0
