Earlier this month, NVIDIA® and Pure Storage® launched “Hot Topics in AI Infrastructure,” a video series to educate IT specialists about how to get involved in artificial intelligence (AI) initiatives. We cover a single hot topic in each two-minute episode as we tour NVIDIA’s Silicon Valley headquarters.
AI has generated a lot of hype over the past few years. The fanfare has led to much confusion for business and IT leaders. In order for it to be more broadly adopted for real-world scenarios, enterprise architecture and technology leaders have asked for help making sense of it. One way to start is by understanding the difference between machine learning, deep learning and artificial intelligence.
And there are tons of myths about AI. Do you think AI is just for science projects and won’t be adopted outside of a few companies? Or, conversely, have you heard that it will be widespread and eliminate your job? In our second episode, NVIDIA’s Tony Paikeday and I discuss the top-three AI infrastructure myths and misperceptions so you can get past the hype and get a jump-start on your AI journey.
To see real-world examples of how industry leaders are adopting AI infrastructure from NVIDIA and Pure Storage to drive business, check out our “AI Pioneers Gallery” infographic. We’ll see you back in two weeks for another episode.
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