"There's a huge potential, a huge promise, but there's also a lot of categories where that promise is a decade out."
"Physical AI implementation has a high cost and a steep learning curve. It also requires a lot of planning, and that involves figuring out devices, value, roadmap, and practicality."
Physical AI has great potential, but its practical implementation is not imminent. IT leaders at Nvidia's GTC developer show emphasized that while there is promise, many aspects may take a decade to realize. The high costs and steep learning curves associated with physical AI pose significant barriers. Effective planning is essential, requiring careful consideration of devices, value, roadmaps, and practicality to achieve successful outcomes in this field.
Read at Computerworld
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