{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"A Specialized Approach to Hardware","description":"End users who are not schooled in hardware can often default to, \u201cjust give me something that works.\u201d David Liu, Staff AI Engineer, Strategy &amp; Vision for Data Science and AI Products at Intel, understands this thinking but also believes that end users can be educated on the advantages of configuring their computer hardware to suit their specific needs. &amp;nbsp; David advocates for using the right hardware for a given task\u2014and that may mean different configurations and\/or different machines for different tasks, rather than a one-size-fits-all solution. &amp;nbsp; &amp;nbsp; David and host Peter Wang also discuss: &amp;nbsp; - The need for more education and resources around hardware performance  - Intel\u2019s Optane technology and the possibilities it creates  &amp;nbsp; Resources: &amp;nbsp; Peter Wang LinkedIn - https:\/\/www.linkedin.com\/in\/pzwang\/ &amp;nbsp; David Liu LinkedIn - https:\/\/www.linkedin.com\/in\/david-liu-71004723\/ &amp;nbsp; Intel LinkedIn - https:\/\/www.linkedin.com\/company\/intel-corporation\/ &amp;nbsp; Click https:\/\/www.youtube.com\/triskadecaepyon to visit David\u2019s YouTube channel. &amp;nbsp; You can find a human-verified transcript of this episode  here -&amp;nbsp;  https:\/\/know.anaconda.com\/rs\/387-XNW-688\/images\/ANACON_David%20Liu_V1%20%281%29.docx.pdf. &amp;nbsp; If you enjoyed today\u2019s show, please leave a 5-star review. For more information, visit https:\/\/www.anaconda.com\/podcast. ","author_name":"Numerically Speaking: The Anaconda Podcast","author_url":"https:\/\/sites.libsyn.com\/422309","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/24591111\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/137759205"}